Project

Reverse Dependencies for bio

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

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Methods to classify and manipulate PfEMP1 DBL-alpha sequence tags
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decoding the dbSNP bitfield containg detaild information
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a method to get the nucleotide sequence of translations done by the EMBOSS bioinformatics package program transeq.
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This API provides a complete set of methods and classes to access the Ensembl database using Ruby programming language
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This API provides a complete set of methods and classes to access the Ensembl database using Ruby programming language
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BioRuby executables is a collection of miscellaneous utilities for bioinformatics that were formerly part of the BioRuby core ("bio" gem). Because of reducing complexity, they were moved to this gem.
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Wrapper around the ExportPred algorithm for predicting P. falciparum exported proteins. Requires local install of the program, which is available from http://bioinf.wehi.edu.au/exportpred/
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ools to work with fasta files, indexed with samtools. The initial releases depend on bio-samtools, but that will change
2019
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Gem that helps to retrieve DNA sequence from UCSC
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bio-gag is a biogem for detecting and correcting a particular type of error that occurs/occurred in particular versions of the IonTorrent DNA sequencing kit. Recent versions of the system don't appear to suffer the same problem
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a BioRuby plugin: handling genomic intervals,such as "chr1:123-456", and overlap state between two intervals
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Bioinformatics. Aggregate FastQC (quality control for Next Generation Sequencing -NGS-) results from many different samples in a single web page, with charts and tables organized and simplified. The main goal is to speed up the communication process with colleagues (PIs, Biologists, BioInformatic...
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GFF3 (genome browser) information and digest mRNA and CDS sequences. Options for low memory use and caching of records. Support for external FASTA files.
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A Ruby client for GGGenome the Ultrafast sequence search
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Identify causative mutations in a model genome from NGS reads using the NGM method.
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Identify causative mutations in a model genome from NGS reads using the NGM method.
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