Project

Reverse Dependencies for bio-samtools

The projects listed here declare bio-samtools as a runtime or development dependency

0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
bio-ngs provides a framework for handling NGS data with BioRuby
2019
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0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
bio-ngs provides a framework for handling NGS data with BioRuby
2019
2020
2021
2022
2023
2024
0.01
No commit activity in last 3 years
No release in over 3 years
Repository of tools developed at Crop Genetics in JIC to work with polyploid wheat
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
A parser for CIGAR format alignments.
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
BioRuby plugins with dependecies from external library or tools
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
Identify causative mutations in a model genome from NGS reads using the NGM method.
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
Identify causative mutations in a model genome from NGS reads using the NGM method.
2019
2020
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0.0
No commit activity in last 3 years
No release in over 3 years
Simple classes for parsing SAM, CIGAR and MD:Z strings, including slices. Methods for calling mutations in HGVS format and looking up consequences using Ensembl VEP REST API. Developed for calling mutations at an expected position in an alignment - e.g. Amplicon sequencing of CRISPR-induced mutat...
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
A minimal web service on the top of sinatra to query bam files
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
a library and commandline tool to pick causative mutation from bulks segregant sequencing
2019
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0.0
No commit activity in last 3 years
No release in over 3 years
Calculated a metric that estimates read complexity at each base for RNA-seq BAM files. Alternative to pileup format.
2019
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