Toolkit for processing sequences in FASTA/Q formats
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Updated
Dec 6, 2020 - C
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Toolkit for processing sequences in FASTA/Q formats
Fast multi-line FASTA/Q reader in several programming languages
A comprehensive library for computational molecular biology
As analyzing biological data with BioFSharp involves a lot of scripting, optional pretty printers help a lot when looking at results directly in the fsi window. This should be especially easy to add for parsing libraries that can already write the correct file format. A basic pretty printer for biocollections is already impelemented.
Here are some formats from the top of my head, feel free to add
Highly customizable, ambiguity-aware dotplots for visual sequence analyses
Program for estimating πN/πS, dN/dS, and other diversity measures from next-generation sequencing data
Tools and software library developed by the ONT Applications group
My experimental tools on top of htslib. NOT OFFICIAL!!!
A fast multiple sequence alignment program.
Gfapy: a flexible and extensible software library for handling sequence graphs in Python
Comprehensive toolkit for generating various numerical features of protein sequences
A high throughput sequence read toolset using a streaming approach facilitated by Linux pipes
Sequence alignment tools
SpacePHARER CRISPR Spacer Phage-Host pAiRs findER
A collection of simple JavaScript programs for generating, formatting, and analyzing short DNA and protein sequences. The Sequence Manipulation Suite is commonly used by molecular biologists, for teaching purposes, and for program and algorithm testing.
Divide and Conquer BLAST: using grid engines to accelerate NCBI-BLAST+ and other sequence analysis tools
Explore and analyze biological sequence data
Cython bindings and Python interface to HMMER3.
Disease Pattern Miner is a free, open-source mining framework for interactively discovering sequential disease patterns in medical health record datasets.
The classes library for analysis of large data arrays, based on new approach in the field of informatics - formal order analysis (FOA).
Taxonomic classification of metagenomic contigs
Machine Learning and Deep Learning Projects using python.
Python package for doing fast and accurate sequence annotation
Parallel tool that allows to perform various quality controls, as well as transformations, on genomic sequence datasets in an efficient way.
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