Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
Data Apps & Dasards for Python. No JavaScript Required.
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.
A full spaCy pipeline and models for scientific/biomedical documents.
Data intensive science for everyone.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Scripts to download genomes from the NCBI FTP servers
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
Python library to facilitate genome assembly, annotation, and comparative genomics
A comprehensive library for computational molecular biology
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Python package for graph neural networks in chemistry and biology
Working with molecular structures in pandas DataFrames
Plant phenotyping with image analysis
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Interactive network visualization in Python and Dash, powered by Cytoscape.js