Step | Section | Problem | Possible reason | Solution |
---|---|---|---|---|
3 | Trinity assembly |
‘bad_alloc’ error |
Insufficient computing resources resulting in a fatal out-of-memory error. |
Ensure you have ~1G of RAM per ~1 M PE reads to be assembled. See Box 2 for computing requirements and services available. |
3 | Trinity assembly |
Large numbers of fusion transcripts |
Not using strand- specific RNA-Seq, or applying assembly to a transcriptome derived from a compact genome having (minimally) overlapping transcripts. |
If PE reads are being used, try running Trinity.pl with the ‘--jaccard_clip’ parameter, which uses PE reads to separate minimally overlapping transcripts. |
3 | Trinity assembly |
Retained introns are prevalent |
Unprocessed RNA is captured and assembled, or contaminating genomic DNA contributes to the assembly. |
Setting Trinity.pl ‘--min_kmer_cov’ to 2 or higher should reduce the number of retained introns, but will also reduce sensitivity for transcript reconstruction. Alternatively, lowly expressed transcripts (often enriched for retained introns) can be filtered from a given component post- abundance estimation. |
5-11 | Quality assessment and abundance estimation |
Cannot find makeblastdb, blastn, or Bowtie |
The additional required software tools were not installed or available via the Unix PATH setting. |
See EQUIPMENT section, be sure software tools are installed as required and that the software utilities are accessible via your PATH setting. Check with a systems administrator as necessary. |
13-15 | Differential expression analysis |
Few or no transcripts identified as differentially expressed |
Assuming transcripts are truly differentially expressed, increased sensitivity is required to detect them. |
Adjust the sensitivity thresholds of ‘analyze_diff_expr.pl’, increasing the allowed FDR and lowering the fold- change requirements. Try running Bioconductor tools directly and examine the available options for data exploration. Increase your depth of sequencing to improve upon the detection of lowly expressed transcripts. |