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. 2019 Apr 24;8(4):giz052. doi: 10.1093/gigascience/giz052

Table 2:

Read characteristics of processed RNA-Seq data

SRA Run ID Read length No. of reads per strand BioSample ID Sample description Sequencing instrument
SRR4250750 50 1,000,425 SAMN05779985 Cultured embryonic stem cells Illumina HiSeq 2500
SRR5185518 50 5,008,398 SAMN06239034 Cultured embryonic stem cells Illumina HiSeq 2500
SRR2932901 50 10,017,495 SAMN04211783 Fetal lung fibroblasts Illumina HiSeq 2500
SRR4428678 75 1,043,870 SAMN05913930 Embryonic stem cell−derived macrophage Illumina HiSeq 4000
SRR4241930 75 5,004,985 SAMN05770731 Primordial germ cell−like cells Illumina HiSeq 2000
ERR204893 75 10,234,883 SAMEA1573291 Lymphoblastoid cell line Illumina HiSeq 2000
SRR5168756 100 1,006,868 SAMN06218220 Subcutaneous metastasis Illumina HiSeq 2500
SRR5023408 100 5,004,554 SAMN06017954 Primary breast cancer Illumina HiSeq 2500
SRR2567462 100 10,007,044 SAMN04147557 Prostate cancer cells LNCaP Illumina HiSeq 2500

We chose 9 different RNA-Seq datasets from the Sequence Read Archive (SRA), a public high-throughput sequencing repository. To compare their performance, each sequence was selected to be different in terms of read length and total number of reads. All data are from human samples sequenced by the Illumina HiSeq platform.