rnaseq-transcript-quantification
Skill4 starsChanged 12 days agoMITView on GitHub
Alignment-free transcript-level quantification using Salmon or kallisto for fast and accurate RNA-seq expression estimates.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 30
If Salmon: run salmon quant with --validateMappings, --seqBias, and --gcBias for bias correction.
- Very specific: line 31
If kallisto: run kallisto quant.
- Very specific: line 32
If bootstraps are requested: add --numBootstraps (Salmon) or -b (kallisto).
- Distinctive: line 48
Not suitable for novel transcript or isoform discovery.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill: RNA-seq Transcript Quantification
Use When
- User wants fast transcript-level quantification without genome alignment
- User wants TPM and count estimates per transcript
- User needs input for downstream differential expression analysis (tximport/tximeta in R)
- User wants to compare Salmon vs kallisto quantification
Inputs
- Required:
- Trimmed FASTQ file(s) (single-end or paired-end)
- Transcriptome index (Salmon index directory or kallisto index file)
- Optional:
- Tool choice:
salmonorkallisto(default:salmon) - Library type for Salmon (default:
Afor auto-detect) - Number of threads (default: 4)
- Output directory (default:
./quant_output) - Number of bootstrap samples (for downstream use with sleuth)
- Tool choice:
Workflow
- Validate that the transcriptome index exists for the chosen tool.
- If Salmon: run
salmon quantwith--validateMappings,--seqBias, and--gcBiasfor bias correction. - If kallisto: run
kallisto quant. - If bootstraps are requested: add
--numBootstraps(Salmon) or-b(kallisto). - Report: total reads processed, mapping rate, number of quantified transcripts.
Output Contract
- Quantification file:
- Salmon:
quant.sfwith columns: Name, Length, EffectiveLength, TPM, NumReads - kallisto:
abundance.tsvwith columns: target_id, length, eff_length, est_counts, tpm
- Salmon:
- Log file with mapping statistics
- Auxiliary files (Salmon
aux_info/directory or kallistorun_info.json)
Limits
- Salmon and kallisto must be installed and available on PATH.
- Transcriptome index must be pre-built before running this skill.
- Quantification is at the transcript level; use tximport in R to summarize to gene level for DE analysis.
- Not suitable for novel transcript or isoform discovery.
- For single-end reads with kallisto, fragment length and standard deviation must be provided.
- Common failure cases:
- Transcriptome index built from a different annotation version than expected, skewing quantification.
- Salmon library type auto-detection failing on very low-read-count samples.
- kallisto single-end mode missing required
--fragment-lengthand--sdparameters.
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