pydna
BioSequences.jl
pydna | BioSequences.jl | |
---|---|---|
1 | 3 | |
153 | 146 | |
- | 0.7% | |
9.4 | 6.1 | |
4 days ago | about 1 month ago | |
Jupyter Notebook | Julia | |
GNU General Public License v3.0 or later | MIT License |
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pydna
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Most optimal programming language for the field of genetics?
pydna: https://github.com/BjornFJohansson/pydna
BioSequences.jl
- findall in BioSequences.jl and Base
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Learning which programming language will make me the most accessible in bioinformatics community? (if there's any)
https://github.com/BioJulia/BioSequences.jl/blob/master/src/longsequences/longsequence.jl#L10
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N-Grams in julia
Yes, you should use the BioSequences.jl package for this - assuming you don't need k-mers longer than 32 bases, or need kmers of anything other than DNA or RNA.
What are some alternatives?
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
gazelle - BioTorrents.de’s version of Gazelle
py - Repository to store sample python programs for python learning
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks
full_spectrum_bioinformatics - An open-access bioinformatics text
transient_rotordynamic - transient dynamics of elastic rotors in journal bearings with Julia and Python
article_apply_test_in_jupyter_notebook - Article apply test in jupyter notebook
HyRiver-examples - Example Notebooks for HyRiver software stack
QUEEN - QUEEN: a framework to generate quinable and efficiently editable nucleotide sequence resources
bamboo - Cooling system modelling for liquid rocket engines.
julia-vim - Vim support for Julia.