Project
Reverse Dependencies for bio
The projects listed here declare bio as a runtime or development dependency
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The tools for our laboratory
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basic, shared functionality for mspire libraries.
2019
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reads .SRF, .SQT and supports conversions
2019
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Identify Neuropeptides using powerful Hidden Markov Models.
For further information please refer to: https://github.com/wurmlab/neurohmmer
2019
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A Web App wrapper for NeuroHmmer, a program for validating gene predictions.
2019
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Search for Neuropeptides based solely on the common neuropeptide markers (e.g. signal peptide, dibasic cleavage sites etc.) i.e. not based on homology to known neuropeptides.
For more information: https://github.com/wurmlab/npsearch
2019
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ORF Finder is a library that with a sequence of nucletotides it
finds the all the possible ORFs in the sequence.
It will look for a sequence that starts with a start codon and
ends with a stop codon.
It will default to the beggining of the sequence if it cannot
find an ORF...
2019
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Provides nice, programmatic access to fasta and fastq files, as well as providing Sequence and Quality helper classes. No need for BioRuby ;)
2019
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Commandline tools for proteomics
2019
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A toolkit for publishing scientific results and datasets using RDF, OWL, and related technologies
2019
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Useful class or methods used in qu-* projects.
2019
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Light wrapper for RFam data in Ruby.
2019
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Rewrite of Kenji's subst (http://www-cryst.bioc.cam.ac.uk/~kenji/subst/) in Ruby programming language
2019
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Turns scaffolded contigs and annotations into a genome.
2019
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Build a genome scaffold using scaffolder and a set of annotated contigs. This tool updates the locations of the contig annotations using the scaffold template as a base.
2019
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Useful Helper methods and classes for testing scaffolder.
2019
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Binary to use with scaffolder genome scaffolds
2019
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A new ESST generator
2019
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'ulla' is a program for calculating environment-specific substitution tables from user providing environmental class definitions and sequence alignments with the annotations of the environment classes.
2019
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Predict silk-like proteins from its amino acid sequence.
2019
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