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- enhancement: aaftoolz (parallelization of composable analysis for A…
…AF files)
- enhancement: tool to collate alignment accuracy vs variant content vs MQ data
from an AAF and write it out as a CSV
2.25.1
- bugfix: bam2illumina discards read with tlen = 0
Also discards reads with tlen < 0.95 read len, which allows us to have some reads with tlen = rlen
in the simulation (which tests some edge cases in the aligner) but not too many,
which screws up our stats.
- bugfix: god-aligner now writes out tlen
Does so matching the SAM spec.
- enhancement: new model illuminaHiSeq-FCA.pkl added
- bugfix: god-aligner now sets .mate_is_reverse too
d-err fix, MQ heatmaps, god-aligner V1 CIGAR
- bugfix: Fix to alignment scoring. Affects data with soft-clips and insertions
- bugfix: subset-bam: fixed v range to be inclusive
- enhancement: read count heatmap added to alignment analysis
- enhancement: read fate bar chart now has read count numbers
- enhancement: god-aligner outputs V1 CIGARs by default, V2 CIGARs if requested
- workaround: pysam.index is finicky (on Linux). Adding option to god-aligner to skip indexing
Used on the platform and on platforms where pysam.index is finicky
Read lengths can be truncated to arbitrary lengths if needed.
New variant model: Copy Insertion, creates insertions that are copies of random parts of the reference sequence. These insertions are challenging to align to and assemble.