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. Author manuscript; available in PMC: 2014 Feb 1.
Published in final edited form as: Nat Protoc. 2013 Jul 11;8(8):10.1038/nprot.2013.084. doi: 10.1038/nprot.2013.084
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.