bioinformatics-toolkit VS vcf

Compare bioinformatics-toolkit vs vcf and see what are their differences.

vcf

Haskell library to handle VCF (Variant Call Format) files (by juanpaucar)
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bioinformatics-toolkit vcf
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12 4
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0.0 0.0
over 1 year ago about 5 years ago
Haskell Haskell
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

bioinformatics-toolkit

Posts with mentions or reviews of bioinformatics-toolkit. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning bioinformatics-toolkit yet.
Tracking mentions began in Dec 2020.

vcf

Posts with mentions or reviews of vcf. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning vcf yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing bioinformatics-toolkit and vcf you can also consider the following projects:

Genbank - Genbank format tools and parser

cmv - Visualize HMMs, CMs and their comparisons

ViennaRNAParser

SelectSequencesFromMSA - Tool to select representative sequences from a multiple sequence alignment

taxonomy - An open source application built using the new router, server components and everything new in Next.js 13.

RNAlien - RNAlien - unsupervised RNA family model construction

hPDB - PDB parser in Haskell

hemokit - Haskell library for the Emotiv EEG, inspired by the Emokit code

Gene-CluEDO - Gene Cluster Evolution Determined Order

BioHMM - Libary containing parsing and visualisation functions and datastructures for Hidden Markov Models in HMMER3 format.