Mapping & quantification
Analyzing RNA-seq data with Salmon/STAR/RSEM
Strategies
Methods | Tools | Output Quantification | Total Time (hr) |
Alignment-free | Transcript-level (gene-level aggregation using | 3.4 | |
Alignment-free | Transcript-level (gene-level aggregation using | 16.0 | |
Alignment-free | Transcript-level (gene-level aggregation using | 6.1 | |
Alignment-based | Gene-level (with | 14.8 | |
Alignment-based | Transcript-level (gene-level aggregation using | 16.3 STAR: 14.8 Salmon: 1.5 | |
Alignment-based | Gene-level and Transcript-level | 57.2 STAR: 14.8 RSEM: 42.3 |
CPU usage is limited to 6 threads and memory to 32 GB where applicable
LibType and strandedness
Tools | dUTP, NSR, NNSR | Ligation, Standard SOLiD | Standard Illumina |
TopHat/Cufflinks | fr-firststrand | fr-secondstrand | fr-unstranded |
HISAT2 | --rna-strandness RF (Paired) --rna-strandness R (Single) | --rna-strandness FR (Paired) --rna-strandness F (Single) | |
Salmon | -l ISR (Paired) -l SR (Single) | -l ISF (Paired) -l SF (Single) | -l IU (Paired) -l U (Single) |
Kallisto | --rf-stranded | --fr-stranded | |
RSEM | --strandedness reverse | --strandedness forward | --strandedness none |
FeatureCounts | -s 2 | -s 1 | -s 0 |
HTSeq | --stranded reverse | --stranded yes | --stranded no |
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