cobot-io VS vcf

Compare cobot-io vs vcf and see what are their differences.

cobot-io

Biological data file formats and IO (by biocad)

vcf

Haskell library to handle VCF (Variant Call Format) files (by juanpaucar)
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cobot-io vcf
- -
1 4
- -
5.1 0.0
5 months ago about 5 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" 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.

cobot-io

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

We haven't tracked posts mentioning cobot-io 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 cobot-io and vcf you can also consider the following projects:

cmv - Visualize HMMs, CMs and their comparisons

phybin - Binning (Newick) Phylogenetic Trees by Topology

ViennaRNAParser

cobot - Computational biology toolkit to collaborate with researchers in constructive protein engineering

RNAlien - RNAlien - unsupervised RNA family model construction

cobot-tools

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

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

ADPfusionForest - Dynamic programming on tree and forest structures

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