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. 2018 Nov 27;5:180266. doi: 10.1038/sdata.2018.266

Transcriptomic study of Herpes simplex virus type-1 using full-length sequencing techniques

Zsolt Boldogkői 1,a, Attila Szűcs 1, Zsolt Balázs 1, Donald Sharon 2, Michael Snyder 2, Dóra Tombácz 1,b
PMCID: PMC6257044  PMID: 30480662

Abstract

Herpes simplex virus type-1 (HSV-1) is a human pathogenic member of the Alphaherpesvirinae subfamily of herpesviruses. The HSV-1 genome is a large double-stranded DNA specifying about 85 protein coding genes. The latest surveys have demonstrated that the HSV-1 transcriptome is much more complex than it had been thought before. Here, we provide a long-read sequencing dataset, which was generated by using the RSII and Sequel systems from Pacific Biosciences (PacBio), as well as MinION sequencing system from Oxford Nanopore Technologies (ONT). This dataset contains 39,096 reads of inserts (ROIs) mapped to the HSV-1 genome (X14112) in RSII sequencing, while Sequel sequencing yielded 77,851 ROIs. The MinION cDNA sequencing altogether resulted in 158,653 reads, while the direct RNA-seq produced 16,516 reads. This dataset can be utilized for the identification of novel HSV RNAs and transcripts isoforms, as well as for the comparison of the quality and length of the sequencing reads derived from the currently available long-read sequencing platforms. The various library preparation approaches can also be compared with each other.

Subject terms: Gene expression, RNA sequencing, Herpes virus, Transcriptomics

Background & Summary

Herpes simplex virus type-1 (HSV-1) is a human pathogenic herpesvirus belonging to the family of Herpesviridae. HSV-1 is associated with orofacial infections1. This is a highly contagious and lifelong infection that is widespread in the world2. HSV-1 is a prototype herpesvirus, which is used as a model organism in the study of molecular pathogenesis of the lytic and latent viral infection, and it is also used as a gene delivery vector3,4 for basic research and gene therapy5, as well as in oncolytic virotherapy6. HSV-1 has a large (~152 kbp) double-stranded DNA genome and a very complex transcriptome7.

Here, we provide a large RNA-seq dataset derived from third- and fourth-generation8 long-read sequencing (LRS) methods (Fig. 1). The previously applied short-read sequencing approaches are inefficient in distinguishing between embedded gene products, RNA isoforms and overlapping transcripts. This problem can be circumvented by LRS methods that are capable of identifying full-length transcripts9–13. Our major aim with this study was to provide a dataset that can be suitable for deeply characterizing the complexity of the HSV-1 transcriptome profile and for obtaining a detailed picture on the transcript-level variations. In order to achieve this goal, the currently available LRS techniques, the Pacific Biosciences (PacBio) and the Oxford Nanopore Technologies (ONT) platforms were used for the characterisation of the HSV-1 lytic transcriptome. We used the RSII7 and the Sequel isoform sequencing (Iso-Seq) approaches for the analyses of both the polyadenylated fraction and the total transcriptome of the HSV-1 transcripts. The amplified Iso-Seq method was used for cDNA sequencing. We used the ONT MinION technique for both cDNA and direct (d)RNA sequencing for the investigations of the poly(A) RNA molecules.

Figure 1. Data flow diagram shows the detailed overview of this research.

Figure 1

The utilized sequencing methods along with the various library preparation approaches were as follows, PacBio: oligo(d)T-primed and random-hexamer primed Iso-Seq protocol with or without size-selection, as well as ONT: cDNA-sequencing, cDNA-sequencing using 5′ Cap-selected transcripts, and dRNA sequencing. These techniques allow for the detection of novel transcript isoforms (splice and length variants), as well as several novel protein-coding RNAs, non-coding (nc)RNAs, and polycistronic transcripts. This LRS dataset is also useful for the investigation of the transcriptional overlaps. Additionally, these data can be used to compare the “sequencing by synthesis” method with the nanopore-based approach. The various library preparation approaches can also be compared with each other.

We used 17 SMRT Cells for the sequencing of our samples on RSII system, using the P6-C4 chemistry. The movie time was 240 or 360 per SMRT Cell. Samples were also run on a single Sequel SMRT Cell using P6-C4 chemistry with 600 min movie time. Altogether 7 MinION flow cells were applied for sequencing the different ONT libraries. The raw reads were aligned to the HSV-1 reference genome in each case (X14112).

The PacBio RSII sequencing generated 38,601 reads of inserts (ROIs) using oligo(d)T-primed reverse transcription (RT), while, using the Sequel platform, we obtained 77,851 HSV-1 specific ROIs. Overall, the different ONT methods generated 175,169 viral reads (Table 1). The average read lengths are as follows: 1,536 and 1,000 bp for the no size-selected oligo(d)T-primed and random-primed RSII, respectively; 2,104 for the Sequel, while the obtained read lengths are 1,466, 1,067 and 1,111 bp for the MinION cDNA, Cap-selected cDNA, and direct RNA-seq methods (Table 2, Fig. 2).

Table 1. Summary of the obtained read counts aligned to the HSV-1 reference genome.

Sample Mapped read count
RSII PolyA size selected: 0.8–2 kb 5689
RSII PolyA size selected: 2–3 kb 3669
RSII PolyA size selected: 3–5 kb 12431
RSII PolyA size selected: 5 kb+ 7010
RSII PolyA non size selected 10796
RSII random-primed 516
Sequel 78362
MinION PolyA and Cap selected cDNA seq 36386
MInION PolyA cDNA seq 67475
MinION random-primed cDNA seq 60687
MInION direct RNA seq 16997

Table 2. Summary table of the obtained read lengths from PacBio RSII and Sequel, as well as from ONT MinION sequencing.

Sample Median read lengths Average read lengths ±SD Median aligned read lengths Average aligned read lengths±SD
RSII PolyA size selected: 0.8-2kb 1374 1385 ± 341,29 1286 1283 ± 316,64
RSII PolyA size selected: 2-3kb 1442 1543 ± 538,90 1346 1442 ± 503,44
RSII PolyA size selected: 3-5kb 1355 1333 ± 503,22 1241 1216 ± 462,89
RSII PolyA size selected: 5kb+ 1724 1815 ± 794,21 1605 1588 ± 739,83
RSII PolyA non size selected 1434 1536 ± 607,55 1338 1372 ± 488,48
RSII random-primed 903 1000 ± 459,25 830 925 ± 461,45
Sequel 1823 2104 ± 814,41 1723 1952 ± 768,24
MinION PolyA and Cap selected cDNA seq 999 1067 ± 598,68 620 709 ± 355,75
MInION PolyA cDNA seq 1313 1466 ± 844,69 1000 1046 ± 679,91
MinION random-primed cDNA seq 801 910 ± 521,04 717 822 ± 491,69
MInION direct RNA seq 1041 1111 ± 673,45 904 948 ± 565,86

Figure 2. The average read lengths in the various library preparation and sequencing methods.

Figure 2

Error bars represents the standard deviance (SD).

The dataset generated here is expected to provide valuable information for the herpesvirus studies and will open new possibilities for the investigation of HSV-1 at the molecular level. Our data provides a wide-ranging resource for understanding, comparing, and analysing the utilized library preparation and sequencing methods, as well as this valuable data can be used to design novel bioinformatics pipelines and also to test the currently available ones.

Here, we provide a comprehensive overview about preparation methods of sequencing libraries, as well as a description of the data (Figure 1, Table 3). Detailed statistics about the read quality, such as insertions, deletions, and mismatches, as well as the coverages of the pre-processed data (binary alignment (BAM)) can be found in Table 4 and Fig. 3. The data show that the ONT MinION sequencing resulted in relatively high error rates for insertions, deletions and mismatches. The best read quality (i.e. less insertions, deletions and mismatch) – as expected – was obtained from the PacBio runs. The composition of the errors of the three sequencers (RSII, Sequel, MinION) are different. Mismatches are the most common errors in ONT, while the insertions are the least frequent errors in ONT (consistent with the previously published data14). Intriguingly, contrary to others’ datasets14, deletions are the major errors in our RSII data; the Sequel shows the same pattern as was expected14. The read length distribution of the samples is visualized in Fig. 4 and Fig. 5 Porechop tool (https://github.com/rrwick/Porechop) was used to carry out an analysis on the 5′ and 3′ adapters, with which we were able to determine the orientation of the sequencing reads (Table 5 (available online only), Table 6, Fig. 6). About 90% of the PacBio reads could be categorized as forward or reverse oriented read, but only 66%, 58% and 49% from the 1D-seq, Cap-seq and random libraries could be categorized, respectively.

Table 3. Summary table of the various wet lab methods utilized in this project.

Sample No Sample Sample time points (h pi) RT priming Cap-selection Amplification Size selection Library prep Platform
1 Mixed 1, 2, 4, 6, 8, 12 Oligo(d)T no yes Bluepippin 0.8-2kb PacBio Isoform seq RSII
2 Mixed 1, 2, 4, 6, 8, 12 Oligo(d)T no yes Bluepippin 2-3kb PacBio Isoform seq RSII
3 Mixed 1, 2, 4, 6, 8, 12 Oligo(d)T no yes Bluepippin 3-5kb PacBio Isoform seq RSII
4 Mixed 1, 2, 4, 6, 8, 12 Oligo(d)T no yes Bluepippin 5kb+ PacBio Isoform seq RSII
5 Mixed 1, 2, 4, 6, 8, 12 Oligo(d)T no yes no PacBio Isoform seq RSII
6 Mixed 1, 2, 4, 6, 8, 12 Random no yes no PacBio Isoform seq RSII
7 Mixed 1, 2, 3, 4, 5, 6, 8, 12, 18, 24 Oligo(d)T no yes no PacBio Isoform seq Sequel
8 Mixed 1, 2, 3, 4, 5, 6, 8, 12, 18, 24 Oligo(d)T yes yes no ONT cDNA MinION
9 Mixed 1, 2, 3, 4, 5, 6, 8, 12, 18, 24 Oligo(d)T no yes no ONT cDNA MinION
10 Mixed 1, 2, 3, 4, 5, 6, 8, 12, 18, 24 Random no yes no ONT cDNA MinION
11 Mixed 1, 2, 3, 4, 5, 6, 8, 12, 18, 24 Oligo(d)T no no no ONT Direct RNA MinION

Table 4. Summary of the read qualities gained from the utilized long-read sequencing approaches.

Sample Percentage of deletions (%) ± SD Percentage of insertions (%) ± SD Percentage of mismatches (%) ± SD Coverage
RSII PolyA size selected: 0.8-2kb 0,84 ± 1,25 0,35 ± 0,88 0,76 ± 0,49 47.70
RSII PolyA size selected: 2-3kb 0,79 ± 1,22 0,41 ± 0,91 0,74 ± 0,46 34.40
RSII PolyA size selected: 3-5kb 0,75 ± 1,25 0,38 ± 1,01 0,77 ± 0,56 98.24
RSII PolyA size selected: 5kb+ 0,87 ± 1,67 0,94 ± 3,43 1,52 ± 3,19 66.93
RSII PolyA non size selected 0,90 ± 1,27 0,61 ± 1,18 0,72 ± 0,50 95.43
RSII random-primed 0,92 ± 1,68 0,23 ± 0,78 0,71 ± 0,49 3.01
Sequel 0,41 ± 0,64 1,18 ± 2,53 0,78 ± 0,61 998.24
MinION PolyA and Cap selected cDNA seq 7,43 ± 2,08 3,09 ± 2,15 8,81 ± 2,44 161.48
MInION PolyA cDNA seq 7,74 ± 2,06 3,61 ± 2,17 8,75 ± 2,47 444.16
MinION random-primed cDNA seq 5,41 ± 2,40 3,75 ± 2,24 6,63 ± 2,23 320.17
MInION direct RNA seq 9,76 ± 2,24 2,72 ± 2,12 8,36 ± 1,98 102.81

Figure 3. Summary of the read qualities gained from the utilized long-read sequencing approaches.

Figure 3

(a) Percentage of deletions; error bar represents the SD values. (b) Percentage of insertions with SD values. (c) Percentage of mismatches given together with SD values. (d) Average read coverages across the HSV-1 genome.

Figure 4. Read length distributions.

Figure 4

(a) The average distribution of read lengths which align to the HSV-1 genome; binned to 500 bp intervals. *Percentage values are in Figure 3. (b) The divided bar chart shows the number of reads at log10 scale, binned to 100 bp intervals. The samples can be seen broken down according to the library preparation and/or sequencing approaches in C–E. (c) Read lengths distributions at log10 scale, binned to 1,000 bp ranges. This figure shows the RSII size-selected samples. It can be seen that the majority of the reads mapped to the HSV-1 genome are shorter than 3,000 bps, most of the reads are between 1,001–2,000 bps, independently from the focus of the size selection. (d) This bar chart shows that the same library preparation method (Isoform sequencing with no size selection using Clontech SMARTer PCR cDNA Synthesis Kit) result in different read length distribution using the two PacBio platforms: 40% of the Sequel reads are longer than 2,000 bp, while only 10% of the RSII reads belong to this size range. (e) The average read length using the MinION nanopore sequencing is below 2,000 bp. There is no random primed read above 9,000 bp. Intriguingly, the longest reads are derived from the direct RNA sequencing approach (15,000–19,000 bp).

Figure 5. Percentage values of number of read counts binned to 500 bp.

Figure 5

This heat map-like illustration shows the distribution of read counts within 500 bp intervals. This dataset shows that the Sequel sequencer resulted in longer average read lengths (~79% of the reads are longer than 1,500 bp). The size selection of the RSII samples had a significant effect on the average read lengths: even if most of the reads are within 1,000–2,000 bp, the distribution of the read counts is different: 0.8–2 kb: 87,560%; 2–3 kb: 73,493%; 3–5 kb: 73,543%; >5 kb: 69,487% of the reads are within this range. The MinION sequencing on the poly(A)-selected samples shows about the same read length distribution as the non-size-selected RSII (the majority of the reads is within the 1,000–2,000 bp interval, however, the distribution of the MinION reads is smoother. The Cap-selected samples and the direct RNA samples have a peak at the lower range: about 30–35% of the reads are between 501–1,000 and 1,001–1,500 bp in both samples. The random primed samples (RSII and MinION) generated the shortest average read lengths.

Table 5. Statistics of the different libraries. This table shows the results of the adapter analysis using the Porechop tool.

Sequencer Library spec Orientation Subsample Adapters Subsample read count Read count  
Using this script, we were able to identify the adapter sequences (Table 6) at the 5’ and 3’ ends of the reads, and thus, determine their orientations. We were able to define the orientation of more than 75% of the PacBio reads in every library, however we obtained poorer results using the MinION (due to the lower read quality): 66% of the reads from the 1D polyA libraries were identified as forward or reverse-oriented reads, while these values were only 58% and 49% from the Cap-seq and random libraries, respectively.              
RSII 0.8-2kb No No adapter   56 56 5659
    Adapters at the same end of a read PacBio and/or PolyA 2 2  
    Same adapter at both end of a read PacBio and PolyA 42 106  
      PacBio 36    
      PolyA 28    
  Yes Fw PacBio and PolyA 3182 3336  
      PacBio 51    
      PolyA 103    
    Rev PacBio and PolyA 2061 2159  
      PacBio 27    
      PolyA 71    
2-3kb No No adapter   55 55 3633
    Adapters at the same end of a read PacBio and/or PolyA 10 10  
    Same adapter at both end of a read PacBio and PolyA 131 168  
      PacBio 28    
      PolyA 9    
  Yes Fw PacBio and PolyA 1796 1955  
      PacBio 64    
      PolyA 95    
    Rev PacBio and PolyA 1327 1445  
      PacBio 48    
      PolyA 70    
3-5kb No No adapter   553 553 12299
    Adapters at the same end of a read PacBio and/or PolyA 168 168  
    Same adapter at both end of a read PacBio and PolyA 2001 2377  
      PacBio 316    
      PolyA 60    
  Yes Fw PacBio and PolyA 5067 5887  
      PacBio 334    
      PolyA 486    
    Rev PacBio and PolyA 2823 3314  
      PacBio 207    
      PolyA 284    
>5kb No No adapter   95 95 6417
    Adapters at the same end of a read PacBio and/or PolyA 28 28  
    Same adapter at both end of a read PacBio and PolyA 284 466  
      PacBio 117    
      PolyA 65    
  Yes Fw PacBio and PolyA 3096 3487  
      PacBio 122    
      PolyA 269    
    Rev PacBio and PolyA 2058 2341  
      PacBio 54    
      PolyA 229    
polyA No No adapter   355 355 10593
    Adapters at the same end of a read PacBio and/or PolyA 19 19  
    Same adapter at both end of a read PacBio and PolyA 149 553  
      PacBio 206    
      PolyA 198    
  Yes Fw PacBio and PolyA 5435 6277  
      PacBio 334    
      PolyA 508    
    Rev PacBio and PolyA 2906 3389  
      PacBio 176    
      PolyA 307    
random No No adapter   56 56 495
    Same adapter at both end of a read PacBio 157 157  
  Yes Fw PacBio 157 157  
    Rev PacBio 125 125  
Sequel   No No adapter   58 58 77851
    Adapters at the same end of a read PacBio and/or PolyA 97 97  
    Same adapter at both end of a read PacBio and PolyA 2620 4874  
      PacBio 1706    
      PolyA 548    
  Yes Fw PacBio and PolyA 41895 44238  
      PacBio 1738    
      PolyA 605    
    Rev PacBio and PolyA 26378 28584  
      PacBio 1753    
      PolyA 453    
MinION polyA No No adapter   7636 7636 64681
    Adapters at the same end of a read PCR-1, SS, PCR-2, PolyA 97 5362  
      PCR-1, SS, PCR-2 14    
      PCR-1, SS, PolyA 246    
      PCR-1, SS 106    
      PCR-1, PCR-2, PolyA 34    
      PCR-1, PCR-2 5    
      PCR-1, PolyA 23    
      SS, PCR-2, PolyA 2004    
      SS, PCR-2 169    
      SS, PolyA 2167    
      PCR-2, PolyA 497    
    Same adapter at both end of a read PCR-1, SS, PCR-2, PolyA 98 8896  
      PCR-1, SS, PCR-2 12    
      PCR-1, SS, PolyA 275    
      PCR-1, SS 103    
      PCR-1, PCR-2, PolyA 12    
      PCR-1, PolyA 25    
      PCR-1 2    
      SS, PCR-2, PolyA 1032    
      SS, PCR-2 68    
      SS, PolyA 1007    
      SS 255    
      PCR-2, PolyA 3395    
      PCR-2 29    
      PolyA 2583    
  Yes Fw PCR-1, SS, PCR-2, PolyA 284 22391  
      PCR-1, SS, PCR-2 40    
      PCR-1, SS, PolyA 587    
      PCR-1, SS 354    
      PCR-1, PCR-2, PolyA 418    
      PCR-1, PCR-2 82    
      PCR-1, PolyA 906    
      PCR-1 553    
      SS, PCR-2, PolyA 1882    
      SS, PCR-2 238    
      SS, PolyA 1908    
      SS 1634    
      PCR-2, PolyA 5530    
      PCR-2 892    
      PolyA 7083    
    Rev PCR-1, SS, PCR-2, PolyA 207 20396  
      PCR-1, SS, PCR-2 31    
      PCR-1, SS, PolyA 509    
      PCR-1, SS 262    
      PCR-1, PCR-2, PolyA 383    
      PCR-1, PCR-2 61    
      PCR-1, PolyA 942    
      PCR-1 497    
      SS, PCR-2, PolyA 1528    
      SS, PCR-2 149    
      SS, PolyA 1666    
      SS 994    
      PCR-2, PolyA 5330    
      PCR-2 640    
      PolyA 7197    
random No No adapter 27540 27540 59291  
    Adapters at the same end of a read SS, PolyA 10 10  
    Same adapter at both end of a read SS, PolyA 4 2865  
      SS 2861    
  Yes Fw SS, PolyA 17 13242  
      SS 13176    
      PolyA 49    
    Rev SS, PolyA 16 15634  
      SS 15568    
      PolyA 50    
Cap No No adapter   1649 1649 34681
    Adapters at the same end of a read CAP5, CAP3, CAP3-pA, PolyA 307 3346  
      CAP5, CAP3, CAP3-pA 33    
      CAP5, CAP3, PolyA 515    
      CAP5, CAP3 1554    
      CAP5, CAP3-pA, PolyA 27    
      CAP5, CAP3-pA 1    
      CAP5, PolyA 26    
      CAP3, CAP3-pA, PolyA 430    
      CAP3, CAP3-pA 16    
      CAP3, PolyA 431    
      CAP3-pA, PolyA 6    
    Same adapter at both end of a read CAP5, CAP3, CAP3-pA, PolyA 1404 9524  
      CAP5, CAP3, CAP3-pA 1015    
      CAP5, CAP3, PolyA 262    
      CAP5, CAP3 2379    
      CAP5, CAP3-pA, PolyA 22    
      CAP5, CAP3-pA 1    
      CAP5, PolyA 30    
      CAP5 424    
      CAP3, CAP3-pA, PolyA 1622    
      CAP3, CAP3-pA 758    
      CAP3, PolyA 216    
      CAP3 1241    
      CAP3-pA, PolyA 123    
      PolyA 27    
  Yes Fw CAP5, CAP3, CAP3-pA, PolyA 1263 10575  
      CAP5, CAP3, CAP3-pA 977    
      CAP5, CAP3, PolyA 338    
      CAP5, CAP3 2285    
      CAP5, CAP3-pA, PolyA 228    
      CAP5, CAP3-pA 22    
      CAP5, PolyA 544    
      CAP5 1544    
      CAP3, CAP3-pA, PolyA 683    
      CAP3, CAP3-pA 505    
      CAP3, PolyA 170    
      CAP3 1529    
      CAP3-pA, PolyA 180    
      CAP3-pA 17    
      PolyA 290    
    Rev CAP5, CAP3, CAP3-pA, PolyA 1312 9587  
      CAP5, CAP3, CAP3-pA 703    
      CAP5, CAP3, PolyA 297    
      CAP5, CAP3 1452    
      CAP5, CAP3-pA, PolyA 235    
      CAP5, CAP3-pA 16    
      CAP5, PolyA 505    
      CAP5 1411    
      CAP3, CAP3-pA, PolyA 905    
      CAP3, CAP3-pA 513    
      CAP3, PolyA 165    
      CAP3 1474    
      CAP3-pA, PolyA 248    
      CAP3-pA 8    
      PolyA 343    
dRNA No No adapter   11596 11596 16516
    Adapters at the same end of a read SS,PolyA, 36 36  
    Same adapter at both end of a read SS,PolyA, 9 375  
      SS, 366    
  Yes Fw SS,PolyA, 33 3015  
      SS, 2717    
      PolyA, 265    
    Rev SS,PolyA, 41 1494  
      SS, 1195    
      PolyA, 258    

Table 6. This table shows the adapter sequences of the various library-preparation methods, which were used to determine the orientation of transcripts.

  START END
MinION cDNA TTACGGCCGGG CCCGGCCGTAA
CAP 5’ CTCACTATAG CTATAGTGAGT
CAP 3’ TCTCAGGCG CGCCTGAGA
CAP 3’ PolyA TCTCAGGCGTTTTTTTTTTTTTTTTTT AAAAAAAAAAAAAAAAAACGCCTGAGA
PolyA TTTTTTTTTTTTTTTTTTTT AAAAAAAAAAAAAAAAAAAA
PacBio AGAGTACATGGG CCCATGTACTCT
PCR tail 1 TTAACCTTTCTGTTGGTGCTGATATTGC GCAATATCAGCACCAACAGAAAGGTTAA
PCR tail 2 TTAACCTACTTGCCTGTCGCTCTATCTTC GAAGATAGAGCGACAGGCAAGTAGGTTAA

Figure 6. Comparing the Porechop results derived from the analysis of different libraries.

Figure 6

(a) This figure shows the percentages of read counts derived from different PacBio RSII poly(A) sequencing. (b) This bar chart compares the data derived from the two PacBio approaches. We could detect the adapters on more than 90% Sequel reads, while we obtained in a poorer result from RSII. (c) This diagram compares the ONT’s own library preparation approach (1D) with the Lexogen Teloprime Cap-selection protocol, which used for a library, run on a MinION flow cell. (d) We were not able to identify the orientation of about 50% of reads using the random-primed approach, while dRNA-seq could detect adapters on about 20% of the reads. (e) Segmented pie chart illustrates the distribution of reads with (labelled as: Fw and Rev) or without orientation (labelled as: No orientation). Fifty-six % of this dataset derived from the different nanopore sequencing approaches, 26.5% from Sequel and the remaining less than 20% is from the RSII. A high ratio (~90%) of reads from PacBio RSII and Sequel sequencing could be categorized as Fw or Rev, however Porechop were not able to identify the adapters and thus the orientation of at least about 30% of reads.

The ratio of the complete (full-length) reads in the different samples were also calculated (Fig. 7). The data shows that the random-primed cDNA sequencing as well as the dRNA sequencing resulted in very few complete reads, which has a technical reason: random primed sequencing could gain complete reads when the random primer binds to the 3′-end of the RNA. The small number of full-length reads, from the dRNA sequencing is consistent with our previous findings: we observed that the dRNA sequencing resulted in poor 5′ and 3′ read ends15,16. It can also be seen that nanopore sequencing produces a large number of incomplete reads; these short fragments are probably removed from PacBio sequencing by the MagBead loading.

Figure 7. Bar chart represents the full-length and partial read distributions in the different libraries.

Figure 7

Methods

A part of the methods section (PacBio RSII sequencing) is an expanded version of descriptions in our related work7, however, the largest part of the data including the entire PacBio Sequel and ONT sequencing data has not yet been published elsewhere.

The various library preparation and sequencing methods utilized in this study are shown in Figure 1.

Viruses, cells and infection

The Vero immortalized kidney epithelial cell line, derived from the kidney of an African green monkey (Cercopithecus aethiops) was used for maintaining and propagating HSV-1. The cell culture was grown in Dulbecco’s modified Eagle medium (DMEM, Gibco/Thermo Fisher Scientific) with 10% Foetal Bovine Serum (Gibco/Thermo Fisher Scientific) and 100 μl/ml Penicillin-Streptomycin 10 K/10 K Mixture (Lonza), and in a 37 °C incubator with a humidified atmosphere of 5% CO2 in air. The viral stocks were prepared by infecting rapidly-growing semi-confluent cells with viruses at a multiplicity of infection (MOI) of 1 plaque-forming unit (pfu)/cell. The infected cells were incubated until complete cytopathic effect was observed. Three times freeze-thaw cycles were applied and it was followed by a centrifugation step at 10,000×g for 15 min. Cells were infected in a suspension with HSV-1 at an MOI of 1, then they were incubated for 1 h. The virus suspension was removed and cells were washed with phosphate-buffered saline (PBS). This step was followed by the addition of fresh medium to the cells and they were incubated for 1, 2, 4, 6, 8, or 12 h for the RSII sequencing and for 1, 2, 3, 4, 5, 6, 8, 12, 18, or 24 h for the Sequel and MinION runs.

RNA purification

Total RNA extraction

Total RNA isolation was carried out by using the NucleoSpin® RNA kit (Macherey-Nagel) following the kit’s recommendations and our previously published methods12. In sum, the viral infected cells were lysed in a lysis puffer (containing chaotropic ions which inhibit ribonucleases, supplied by the kit). DNase I (provided by the kit) treatment was carried out during the purification. The RNA samples, which were bound to a silica membrane, were eluted in RNase-free water. The potential residual DNA contamination was eliminated by applying additional DNase treatment; the Ambion® TURBO DNA-freeTM Kit was used (Thermo Fisher Scientific). The final concentrations of the RNA samples were measured by Qubit® 2.0 Fluorometer using Qubit RNA BR Assay Kit (Life Technologies) and then they were stored at −80 °C until further use. The RNA samples taken from each time points were mixed for library preparation and sequencing.

Ribosomal RNA depletion

For the random hexamer-primed cDNA sequencing, the RNA samples were handled with the ribodepletion kit (Epicentre Ribo-ZeroTM Magnetic Kit H/M/R, Epicentre/Illumina), to remove the ribosomal (r)RNAs.

Isolation of polyadenylated RNA

For the sequencing of the polyadenylated [polyA(+)] fraction of the samples, RNAs were purified by using the Qiagen Oligotex mRNA Mini Kit, following to the “Spin Columns” protocol of the kit.

The final concentrations of the rRNA depleted and the PolyA(+) RNA samples were determined through use of the Qubit RNA HS Assay Kit (Life Technologies).

Preparation of cDNAs and sequencing libraries

PacBio SMRTbell library preparation

Full-length cDNAs were prepared according to the PacBio Isoform Sequencing (Iso-Seq) protocol by using the Clontech SMARTer PCR cDNA Synthesis Kit. We applied the no Size Selection protocol for the study of short RNAs, while we carried out size selection by using SageELFTM and BluePippinTM Size-Selection Systems (Sage Science) for the isolation of long transcripts. Reverse transcription (RT) reactions were primed with oligo(d)T (supplied by the Clontech Kit) or random hexamer primer (custom designed, ordered from IDT DNA). Samples were amplified by PCR using KAPA HiFi Enzyme (Kapa Biosystems), according to the above mentioned PacBio protocol. In short, primary denaturation was done at 95 °C for 2 min. This step was followed by 16 cycles for PA-sequencing, as well as 20 or 30 cycles for random hexamer-primed samples (the optimal cycle was determined in the optimization step) at 98 °C for 20 s (denaturation), 65 °C for 15 s (annealing) 72 °C for 4 min (extension). 72 °C was used for the final extension, it was set to 5 min. (n: 18 cycles was set to the No size-selection protocol, and the same PCR setting was applied for size-selected samples.

PCR products were mixed together and then size selected with the SageELFTM System following the PacBio’s protocol. Size-selected cDNAs were amplified with KAPA enzyme using the above mentioned conditions. The cDNAs with a size over 5 kb was size-selected again, with the BluePippinTM System to remove the short samples. Five-hundred ng of each non-size-selected sample was used for the generation of the SMRTbell templates, with the PacBio DNA Template Prep Kit 1.0. The quantity of the size-selected cDNAs used in the SMRTbell template preparation reaction was based on the following protocols: Procedure & Checklist – Isoform Sequencing (Iso-SeqTM) using the Clontech SMARTer PCR cDNA Synthesis Kit and SageELFTM Size Selection System & BluePippinTM Size-Selection Systems. The DNA/Polymerase Binding Kit P6 and v2 primers were used to generate SMRTbell library-DNA polymerase complexes. The ready complexes were bound to MagBeads using the PacBio MagBead Binding Kit.

The volume of the sequencing primer for the annealing, and the polymerase (P5 or P6) for the binding was determined using the PacBio Calculator version 2.3.1.1. by adding the concentrations and the average insert sizes of SMRTbell templates.

The polymerase-template complexes were bound to MagBeads, loaded onto SMRT Cells and sequenced on the RSII instrument.

The Binding Calculator (PacBio) was used to calculate the amount of samples to be used for sequencing, following MagBead one-cell per well (OCPW) method. The P6v2 binding kit was used, the on-plate concentration was set to 0.05 nM. The insert sizes were set based on the applied size-selections: 1000, 2500 and 6000 bp sizes were chosen.

Briefly, the sequencing primer was diluted in PacBio Elution Buffer (EB) to 150 nM. The annealing step was carried out using 1 μl template (cc: ~20 ng/μl), the diluted sequencing primer and primer buffer (10×). The concentration of this reaction mixture was 0.8333 nM. Annealing step was set to 20 °C for 30 min. The DNA polymerase enzyme was diluted to a final concentration of 50 nM in PacBio Binding Buffer (BB) v2, and then it was bound to the annealed sample followed by the addition of DTT, dNTP and BB. The sample complex (final concentration was set to 0.5 nM) was incubated at 30 °C for 4 h. The complex (0.5 μl) was added to 18.5 μl MagBead BB (final concentration was set to 0.0125 nM). The detailed protocol of the MagBeads preparation is as follows: 73.9 μl MagBeads were washed with MagBead Wash Buffer, then it was replaced by MagBead BB (73.9 μl). The washed MagBead was used to bound to the sample-complex. Nineteen μl from the complex was added to the washed MagBeads and then they were incubated in a HulaMixer (Life Technologies) at 4 °C for 30 min. After this binding step, the sample was purified with BB (19 μl), then with 19 μl WB. The final elution was in 19 μl BB. The MagBead-bound sample complexes were loaded for sequencing.

The MagBead One Cell Per Well protocol was applied for the sequencing. Sequencing runs were performed by using the PacBio RS II sequencer or Sequel platform. Size-selected and no size-selected samples were run on RSII, while the Sequel platform was applied for the no size-selected samples. The DNA Sequencing Reagent 4.0 was used for the reactions. Two hundred and forty min or 360 min movie lengths were set for the RSII runs, while 600 min was applied for the Sequel sequencing (one movie was recorded for each SMRT Cell).

Direct RNA sequencing

To avoid the potential false-priming effect of PCR reactions, an amplification free method was used for the analysis of HSV-1 transcripts. For this, the ONT’s Direct RNA sequencing (DRS) protocol (Version: DRS_9026_v1_revM_15Dec2016) was utilized. A total RNA sample containing an equal amount from the 10 time points (1, 2, 3, 4, 5, 6, 8, 12, 18, 24 h pi) was used to isolate the polyadenylated RNA fraction. This sample (115 ng) was then used as template for the RT, it was added to the RT adapter (supplied by the DRS kit) (Table 7). T4 DNA ligase (2 M U/ml; New England BioLabs) was also added to the reaction. The reaction mixture was incubated at room temperature for 10 min. SuperScript (SS)III RT enzyme (Life Technologies) was added to the RNA-cDNA hybrid, and the generation of the first-strand cDNA was carried out according to the ONT DRS kit’s recommendations: the reaction was done at 50 °C for 50 min, then the SSIII was inactivated at 70 °C (10 min). The RNase OUT (40 U/μl; Life Technologies) recombinant RNase inhibitor–treated Agencourt AMPure XP Magnetic Beads (Beckman Coulter) was used to purify the sample (2U RNase OUT per 1 μl bead), then it was eluted in 20 μl Nuclease-Free Water (Ambion/Thermo Fisher Scientific). T4 DNA ligase and NEBNext Quick Ligation Reaction Buffer (New England BiceoLabs) were used to ligate the purified sample to the RMX adapter. The ligation was done at room temperature. The incubation time was 10 min. The adapter-ligated sample was purified with the RNase OUT-handled XP beads using Wash Buffer (DRS Kit), and then eluted in 21 μl Elution Buffer (DRS Kit). The quantification of the ready libraries was performed using the Qubit 2.0 Fluorometer as well as Qubit dsDNA HS Assay Kit (both from Life Technologies). The R9.4 SpotON Flow Cell was used for MinION sequencing.

Table 7. The list of reverse transcription primers used in this study.

Sequencing method Name, availability Catalog # Sequence (5′ -> 3′)
PacBio amplified PolyA 3' SMART CDS primer II A - SMARTer PCR cDNA Synthesis Kit (Clontech) 634925 & 634926 AAGCAGTGGTATCAACGCAGAGTAC(T)30VN
PacBio amplified Random Custome made (IDT DNA) AAGCAGTGGTATCAACGCAGAGTACNNNNNN (G: 37%; C: 37%; A: 13%; T: 13%)
MinION CAP selected TeloPrime Full-Length cDNA Amplification Kit (Lexogen) 013.08 & 013.24 TCTCAGGCGTTTTTTTTTTTTTTTTTT
MinION cDNA Poly(T)-containing anchored primer [(VN)T20 - ONT recommended, custom made (Bio Basic) 5phos/ACTTGCCTGTCGCTCTATCTTC(T)20VN
MinION Random Custome made (IDT DNA) 5Phos/ACTTGCCTGTCGCTCTATCTTCNNNNNN
MinION RNA RT adapter - Direct RNA Sequencing Kit (Oxford Nanopore Technologies) SQK-RNA001 GAGGCGAGCGGTCAATTTTCCTAAGAGCAAGAAGAAGCCTTTTTTTTTT

Oxford Nanopore 1D cDNA sequencing

Samples were sequenced on a MinION device from the ONT according to the ONT 1D Strand switching cDNA by ligation protocol (Version: SSE_9011_v108_revS_18Oct2016). The sequencing libraries were generated by using the ONT Ligation Sequencing Kit 1D (SQK-LSK108). The PolyA(+)-selected RNA fraction or the rRNA-depleted sample was used for cDNA production. Identical quantity of RNA samples from each of the applied time points were mixed together.

Thirty-one ng from the Poly(A+)-selected, or 50 ng from the rRNA-depleted sample was used as template for the RT reactions. An anchored oligo(d)T primer [(VN)T20; ordered from Bio Basic, Canada, (Table 7)] or a modified random-primer (Table 7) was used for priming the reactions. The RNA-primer mixture was incubated at 65 °C for 5 min. After this short step, a strand-switching oligo [containing three O-methyl-guanine RNA bases (PCR_Sw_mod_3G; Bio Basic, Canada)], buffer and DTT [both are derived from the SuperScript IV Reverse Transcriptase kit (Life Technologies)] were added to the reactions. The samples were handled with a recombinant RNase inhibitor (RNase OUTTM, Life Technologies); the incubation was carried out at 42 °C 2 min.

The SuperScript IV Reverse Transcriptase enzyme (200 unit) was added to the sample. The RT reaction was carried out in a Veriti Cycler (Applied Biosystems) at 50 °C for 10 min. It was followed by the strand-switching step at 42 °C for 10 min. Samples were heated to 80 °C (10 min) to inactivate the enzymes. Samples were amplified by PCR with KAPA HiFi DNA Polymerase (Kapa Biosystems) and Ligation Sequencing Kit Primer Mix (1D Kit). Five μl from the cDNAs were used as template in each of the PCR reactions. The Veriti PCR machine was set as follows: initial denaturation 95 °C, 30 sec (1 cycle); denaturation 95 °C, 15 sec (15 cycles); annealing 62 °C 15 sec (15 cycles); extension 65 °C 4 min (15 cycles); final extension step 65 °C, 10 min. NEBNext End repair/dA-tailing Module (New England Biolabs) was utilized for repairing the DNA ends, while the NEB Blunt/TA Ligase Master Mix (New England Biolabs) was used for ligating the adapters (1D kit). The Beckman Coulter Agencourt AMPure XP beads were used to purify the DNA after each of the enzymatic steps. The concentration of the samples was measured by using the Qubit Fluorometer 2.0 (Life Technologies) and the Qubit (ds)DNA HS Assay Kit (Life Technologies). The libraries were sequenced on the ONT R9.4 SpotON Flow Cells.

MinION cDNA sequencing on Cap-selected samples

To generate full-length cDNA from capped and polyadenylated RNAs, the “all-in-one” protocol from the Lexogen was applied using the TeloPrime Full-Length cDNA Amplification Kit. A 2.2 μg mixture from the different total RNAs (1, 2, 3, 4, 5, 6, 8, 12, 18 and 24 h pi) was used for the RT. For this, the sample was mixed with RT buffer and a specific primer (both are the part of the kit, Table 7). The reaction started at a 30 sec incubation at 70 °C, then it was followed by a 1 min step at 37 °C. At this point, the reaction was kept at 37 °C. The reverse transcriptase and the additional reagents (derived from the kit) were mixed with the sample and then the incubation was containing at 37 °C for 2 min. The next step of the RT reaction was carried out at 46 °C for 50 min. Sample was purified by using the kit’s Silica columns. The double-strand (ds) specific ligase enzyme (Lexogen kit) was used to join the adapter to the cDNA, the reaction was performed at 25 °C, overnight, then the sample was purified using the silica membranes of the Lexogen kit. The dscDNAs were generated by using the Enzyme Mix and the Second-Strand Mix (Lexogen kit). The cDNA production was performed in a Veriti cycler. The following protocol was applied: 98 °C for 90 sec, 62 °C for 60 sec, 72 °C for 5 min (16 cycles), hold at 25 °C. The sample concentration was detected by using Qubit 2.0 and Qubit dsDNA HS quantitation assay (Life Technologies). The specificity of the obtained product was checked by using real-time PCR. The Rotor-Gene Q qPCR machine (Qiagen), a gene specific primer (us9, 10 μM each, ordered from IDT DNA, Table 8), and the ABsolute qPCR SYBR Green Mix (Thermo Fisher Scientific) was applied. The preliminary denaturation was carried out at 94 °C for 15 min, then 35 cycles of 94 °C for 25 sec, 60 °C 25 sec and 72 °C 6 sec was applied.

Table 8. The sequence of the primer-pair used for the detection of us9 gene of HSV-1 by qPCR.

Primer Sequence
Forward GGCTGCTCCGCTAAAAGAC
Reverse AGTTAAAGGCTGGGTGCAAA

The cDNAs from polyadenylated-capped RNA samples were used for library preparation for ONT sequencing. The 1D Strand switching cDNA by ligation method was used. After the end-repair, the samples were ligated to the 1D adapters. Finally, they were measured on the ONT R9.4 SpotON Flow Cells.

Read processing

The SMRT Analysis v2.3.0 (PacBio RSII), the SMRT Link (PacBio Sequel) and the Albacore v2.0.1 (ONT MinION) software packages were used for base calling (Figure 1). The reads were mapped by using GMAP and the following setting was applied: Minimum Full Passes = 1, Minimum Predicted Accuracy = 90, Minimum Length of Reads of Insert = 1, Maximum Length of Reads of Insert = No Limit. These consensus reads were mapped using GMAP17, with the following settings: gmap -d Genome.fa --nofails -f samse File.fastq > Mapped_file.sam. The quality information was acquired by using custom made routines18.

The Porechop v.0.2.3 software was used to determine the orientation of the sequencing reads. For this, a modified adapter.py file was used, where we added the various, library-specific adapter sequences (Table 6). The first mapped nucleotide downstream the “END” adapter was labelled the 5′ end of a read, while the last mapping nucleotide upstream of the “START” (polyA tail: A20 or 3′ adapters) was designated the 3′ end of the read. Reads lacking an adapter on both ends, or with 5′ or 3′ adapters on both ends, can be discarded from further in silico analysis.

Code Availability

1.SMRT Analysis v2.3.0: https://s3.amazonaws.com/files.pacb.com/software/smrtanalysis/2.3.0/smrtanalysis-patch_2.3.0.140936.p5.run

2.SMRT Link v5.1.0: https://downloads.pacbcloud.com/public/software/installers/smrtlink_5.1.0.26412.zip

3.Albacore v2.0.1: https://github.com/Albacore/albacore

4.GMAP: http://research-pub.gene.com/gmap/ (version 2015-12-31)

5.Custom routines have been archived on Github (https://doi.org/10.5281/zenodo.1034511).

6.Porechop v.0.2.3: https://github.com/rrwick/Porechop

Data Records

Data from MinION and Sequel sequencing have been uploaded to the European Nucleotide Archive (Data Citation 1) - contains BAM files. The RSII raw sequencing files, processed data files as well as metadata have been submitted to the Gene Expression Omnibus repository (Data Citation 2). All reads were mapped to the X14112 genome build. The provided sequencing data can be used without restrictions.

Technical Validation

The quantity of the purified total RNAs, the polyA-selected RNAs, the ribodepleted RNA samples, as well as the cDNA samples and the final sequencing libraries were detected by Qubit 2.0 (Life Technologies) fluorometer using the Qubit RNA Broad-Range, High Sensitivity RNA and High Sensitivity dsDNA Assay Kits.

Usage Notes

Our provided dataset was primarily generated to analyse the potential splice variants, as well as transcriptional start and stop site variations, the isoforms and the complexity of HSV-1 transcriptome. The provided raw RSII data files can be utilized to develop novel base calling algorithms or read processing tools, as well as to improve the currently existing bioinformatics software. The uploaded BAM files contain reads already aligned to the X14112 HSV-1 reference genome using GMAP v2017-04-2417.

These mapped reads can be further analysed by using different long-read aligners (e.g. NGMLR: https://github.com/philres/ngmlr; GraphMap: https://github.com/isovic/graphmap, etc.), or bioinformatics tools (e.g. samtools19 and bedtools20). These data can be visualized by utilizing different programs such as the Geneious21, IGV22, or Artemis23. The files contain terminal poly(A) sequences as well as the 5′and 3′ adapter sequences, which can be utilized to determine the orientations of the reads. Novel long-read sequencing pipelines e.g.: SQANTI24 can be tested using this dataset.

Additional information

How to cite this article: Boldogkői, Z. et al. Transcriptomic study of Herpes simplex virus type-1 using full-length sequencing techniques. Sci. Data. 5:180266 doi: 10.1038/sdata.2018.266 (2018).

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

sdata2018266-isa1.zip (3.3KB, zip)

Acknowledgments

This work was supported by the Swiss-Hungarian Cooperation Programme: SH/7/2/8 to Z.B., by the NIH Centers of Excellence in Genomic Science (CEGS) Center for Personal Dynamic Regulomes: 5P50HG00773502 to M.S., and by the Bolyai János Scholarship of the Hungarian Academy of Sciences to D.T.

Footnotes

The authors declare no competing interests.

Data Citations

  1. 2018. European Nucleotide Archive. PRJEB25433
  2. 2017. Gene Expression Omnibus. GSE97785

References

  1. Miller C. S. & Redding S. W. Diagnosis and management of orofacial herpes simplex virus infections. Dent. Clin. North. Am. 36, 879–895 (1992). [PubMed] [Google Scholar]
  2. Marchi S., Trombetta C. M., Gasparini R., Temperton N. & Montomoli E. Epidemiology of herpes simplex virus type 1 and 2 in Italy: a seroprevalence study from 2000 to 2014. J. Prev. Med. Hyg. 58, E27–E33 (2017). [PMC free article] [PubMed] [Google Scholar]
  3. Lim F., Khalique H., Ventosa M. & Baldo A. Biosafety of gene therapy vectors derived from herpes simplex virus type 1. Curr. Gene. Ther. 13, 478–491 (2013). [DOI] [PubMed] [Google Scholar]
  4. Filip L. HSV-1 as a Model for Emerging Gene Delivery Vehicles. ISRN Virology 2013, 397243 (2013). [Google Scholar]
  5. Grant K. G., Krisky D. M., Ataai M. M. & Glorioso J. C. Engineering cell lines for production of replication defective HSV-1 gene therapy vectors. Biotechnol. Bioeng. 102, 1087–1097 (2009). [DOI] [PubMed] [Google Scholar]
  6. Kaur B., Chiocca E. A. & Cripe T. P. Oncolytic HSV-1 Virotherapy: Clinical Experience and Opportunities for Progress. Curr. Pharm. Biotechnol. 13, 1842–1851 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Tombácz D. et al. Long-Read Isoform Sequencing Reveals a Hidden Complexity of the Transcriptional Landscape of Herpes Simplex Virus Type 1. Front. Microbiol 8, 1079 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Niedringhaus T. P., Milanova D., Kerby M. B., Snyder M. P. & Barron A. E. Landscape of Next-Generation Sequencing Technologies. Anal Chem. 83, 4327–4341 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Sharon D., Tilgner H., Grubert F. & Snyder M. A single-molecule long-read survey of the human transcriptome. Nat. Biotechnol. 31, 1009–1014 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Tilgner H., Grubert F., Sharon D. & Snyder M. P. Defining a personal, allele-specific, and single-molecule long-read transcriptome. Proc. Natl. Acad. Sci. USA 111, 9869–9874 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Rhoads A. & Au K. F. PacBio Sequencing and Its Applications. Genomics, Proteomics Bioinformatics 13, 278–289 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Tombácz D. et al. Full-Length Isoform Sequencing Reveals Novel Transcripts and Substantial Transcriptional Overlaps in a Herpesvirus. PLoS One. 11, e0162868 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chen S. Y., Deng F., Jia X., Li C. & Lai S. J. A transcriptome atlas of rabbit revealed by PacBio single-molecule long-read sequencing. Sci. Rep 7, 7648 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Weirather J. L. et al. Comprehensive comparison of Pacific Biosciences and Oxford Nanopore Technologies and their applications to transcriptome analysis. F1000Research 6, 100 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Moldován N. et al. Third-generation Sequencing Reveals Extensive Polycistronism and Transcriptional Overlapping in a Baculovirus. Sci Rep 8, 8604 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Moldován N., Tombácz D., Szűcs A., Csabai Z., Snyder M. & Boldogkői Z. Multi-Platform Sequencing Approach Reveals a Novel Transcriptome Profile in Pseudorabies Virus. Front. Microbiol. 8, 2708 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Wu T. D. & Watanabe C. K. GMAP: a genomic mapping and alignment program for mRNA and EST sequences. Bioinformatics 21, 1859–1875 (2005). [DOI] [PubMed] [Google Scholar]
  18. Szunyike. Source code for: Long-read sequencing of the HCMV transcriptome with the Pacific Biosciences RSII platform: Long-read sequencing data statistics. Zenodo https://zenodo.org/record/1034511 (2017).
  19. Li H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Quinlan A. R. & Hall I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kearse M. et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28, 1647–1649 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Robinson J. T. et al. Integrative genomics viewer. Nat. Biotechnol. 29, 24–26 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Rutherford K. et al. Artemis: sequence visualization and annotation. Bioinformatic 16, 944–945 (2000). [DOI] [PubMed] [Google Scholar]
  24. Tardaguilla M. et al. SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification. Genome Res. 28, 396–411 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. 2018. European Nucleotide Archive. PRJEB25433
  2. 2017. Gene Expression Omnibus. GSE97785

Supplementary Materials

sdata2018266-isa1.zip (3.3KB, zip)

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