RNAlien VS ViennaRNAParser

Compare RNAlien vs ViennaRNAParser and see what are their differences.

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RNAlien ViennaRNAParser
0 0
14 3
- -
0.0 0.0
over 1 year ago almost 5 years ago
Haskell Haskell
GNU General Public License v3.0 only GNU General Public License v3.0 only
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.

RNAlien

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

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

ViennaRNAParser

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

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

What are some alternatives?

When comparing RNAlien and ViennaRNAParser you can also consider the following projects:

hPDB - PDB parser in Haskell

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

phybin - Binning (Newick) Phylogenetic Trees by Topology

FormalGrammars - Context-free and linear grammars in Haskell (parsing, pretty-printing, embedded DSL)

samtools - [Moved to: https://github.com/ingolia/SamTools]

BlastHTTP - Haskell cabal libary for submission and result retrieval from the NCBI Blast REST webservice

TaxonomyTools - Tools to process and visualize NCBI taxonomy data

bio-sequence

cmv - Visualize HMMs, CMs and their comparisons

seqloc - Bio.SeqLoc

bioinformatics-toolkit - A collection of bioinformatics algorithms