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Awesome List
A curated list of awesome Bioinformatics libraries and software.
GitHub stars and default-branch commits for danielecook/Awesome-Bioinformatics.
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A suite of utilities for converting to and working with CSV, the king of tabular file formats.
Official git repository for Biopython (originally converted from CVS)
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Single-cell analysis in Python. Scales to >100M cells.
RNAseq analysis notes from Ming Tang
Cloud-native genomic dataframes and batch computing
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
ChIP-seq analysis notes from Ming Tang
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
Yet another redundant workflow engine
Efficient pythonic random access to fasta subsequences
A Variant Call Format reader for Python.
Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl
Access to Biological Web Services from Python.
Python wrapper -- and more -- for BEDTools (bioinformatics tools for "genome arithmetic")
GFF and GTF file manipulation and interconversion
tools for adding mutations to existing .bam files, used for testing mutation callers
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
Blazing-Fast Bioinformatic Operations on Python DataFrames
CGAT-ruffus is a lightweight python module for running computational pipelines
python access to UCSC genomes database
An imagemagick-like frontend to Biopython SeqIO
Simple FASTQ quality assessment using Python
A simple Partial Order Aligner based on Lee, Grasso and Sharlow (2002), for education/demonstration purposes
A fast Python library for VCF files leveraging Cython for speed.
The command-line interface to GGD
📈 DNA Sequence Visualization for Humans
Easily submitting multiple PBS jobs or running local jobs in parallel. Multiple input files supported.
Write-once-read-many table for large datasets.
Explore and analyze biological sequence data
Automate common sam & bam conversions
A bam toolbox