Project
Reverse Dependencies for bio
The projects listed here declare bio as a runtime or development dependency
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A library for exome sequencing data management
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Utilities for GFF3, the genome annotation format. Useful to explore the gene model features.
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Easy fasta filtering, wrapping, calculating common statistics, sorting etc. Based on the fasta_tool script that I think was written by Jason Stajich.
2019
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De-novo assemblies generally only provide draft genomes. FinishM is aimed at improving these draft assemblies.
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FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LEN...
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The tool validates the input predicted genes and provides useful information (length validation, gene merge validation, sequence duplication checking, ORF finding) based on the similarities to genes in public databases.
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A Web App wrapper for GeneValidator, a program for validating gene predictions.
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This is a development release. Some features are functional at this time. Genfrag allows for rapid in-silico searching of fragments cut by different restriction enzymes in large nucleotide acid databases, followed by matching specificity adapters which allow a further data reduction when looking...
2019
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Modified version of the bio-svgenes gem, for use in https://geni-act.org education website.
2019
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A Sinatra RESTful web-service for sharing RDFized genomic data.
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GoRuby makes it easy to interact with the Gene Ontology by using the infrastructure setup in R. By connecting to R using RSRuby, the database and methods can be interrogated. Plus, keeping the R library up to date is much simpler than having to keep a GO implementation up to date.
2019
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Library code for Iroki, a phylogenetic tree customization program.
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ensembl-api provides a ruby API to the Ensembl databases (http://www.ensembl.org)
2019
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Ruby bindings for libssw
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Simultaneously perform custom microhomoly strategies for genetic engineering and bioinformatics.
2019
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The tools for our laboratory
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basic, shared functionality for mspire libraries.
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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.
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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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