PARSEALIGNMENT(1)
π NAME π
parseAlignment β pre-compute probabilities of (observed) reads alignments. Bestie, it's literally doing the probability pre-game so the rest of your pipeline can shine β¨π§¬
πΈ SYNOPSIS πΈ
parseAlignment -o <outFileName> -s <trSeqFileName> [OPTIONS] [alignment file]
π¦ DESCRIPTION π¦
Pre-computes probabilities of (observed) reads' alignments. That's the whole assignment, no cap π
Okay so important: [alignment file] should be in either SAM or BAM format. Those are the only two formats invited to the party π
β¨ OPTIONS β¨
--helpβ Show this help information. It's giving "tell me everything" energy βπ--distributionFile=<distributionFileName>β Name of file to which read-distribution should be saved. Your read-distribution gets a whole file to itself, main character behavior π--excludeSingletonsβ Exclude single mate alignments for paired-end reads. (default: Off) If you're not about that singleton life, flip this on π«π§-e <expFileName>,--expressionFile=<expFileName>β Transcript relative expression estimates --- for better non-uniform read distribution estimation. Give it the expression tea so the distribution estimation can slay π--failed=<failed>β File name where to save names of reads that failed to align. A little support group for the reads that didn't make it π-f <format>,--format=<format>β Input format: either SAM, BAM. Pick your fighter, bestie βοΈ--lenMu=<lenMu>β Set mean of log fragment length distribution. (l_frag ~ LogNormal(mu,sigma^2)) Math but make it fashion π--lenSigma=<lenSigma>β Set sigma^2 (or variance) of log fragment length distribution. (l_frag ~ LogNormal(mu,sigma^2)) The variance bestie of the fragment-length situation π«--mateNamesDifferβ Mates from paired-end reads have different names. (default: Off) When your paired-end mates don't match names, this is the flag that gets it π«Ά-l <maxAlignments>,--limitA=<maxAlignments>β Limit maximum number of alignments per read. (Reads with more alignments are skipped.) Like a VIP cutoff: too many alignments and you're not getting in π--noiseMismatches=<numNoiseMismatches>β Number of mismatches to be considered as noise. (default: 6) Six is the default, so that's the vibe unless you say otherwise π₯-o <outFileName>,--outFile=<outFileName>β Name of the output file. The moment you've all been waiting for π-P <procN>,--procN=<procN>β Maximum number of threads to be used. This provides speedup mostly when using non-uniform read distribution model (i.e. no--uniformflag). (default: 4) Four threads by default, go off and parallelize πββοΈπββοΈπββοΈπββοΈ-N <readsN>,--readsN=<readsN>β Total number of reads. This is not necessary if[SB]AMcontains also reads with no valid alignments. So only required when the file isn't already spilling that number π--show1warningβ Show first alignments that are considered wrong (TID unknown, TID mismatch, wrong strand). (default: Off) The "first warning" is giving first-episode-of-the-drama energy πΊ-t <trInfoFileName>,--trInfoFile=<trInfoFileName>β File to save transcript information extracted from[BS]AMfile and reference. Transcript lore, saved for later πΎ-s <trSeqFileName>,--trSeqFile=<trSeqFileName>β Transcript sequence in FASTA format --- for non-uniform read distribution estimation. FASTA bestie, don't forget her πΈ--trSeqHeader=<trSeqHeader>β Transcript sequence header format enables gene name extraction (standard/gencode). (default: standard) Standard is the default, but gencode girlies can switch it up π§¬--uniformβ Use uniform read distribution. (default: Off) When you want every read treated equally, no favorites π--unstrandedβ Paired read are not strand specific. (default: Off) For when your paired reads aren't picking a side π-v,--verboseβ Verbose output. (default: Off) Spill a little more tea β-V,--veryVerboseβ Very verbose output. (default: Off) Spill all the tea, bestie π«β¨
Later, bestie! This page is from parseAlignment 0.7.5+dfsg, dated September 2021 πππ¦
π¦ where this page comes from
- ubuntu jammy: bitseq 0.7.5+dfsg-6 Β· Artistic-2
- ubuntu noble: bitseq 0.7.5+dfsg-6 Β· Artistic-2
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms