List of Computer Science courses with video lectures.
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Updated
Oct 12, 2026
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.
List of Computer Science courses with video lectures.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Data Apps & Dashboards for Python. No JavaScript Required.
Official git repository for Biopython (originally converted from CVS)
A curated list of awesome Bioinformatics libraries and software.
The open-source AI workbench for scientific research
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
A workflow language for data-driven computational pipelines
Making Protein folding accessible to all!
Single-cell analysis in Python. Scales to >100M cells.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A versatile pairwise aligner for genomic and spliced nucleotide sequences
MMseqs2: ultra fast and sensitive search and clustering suite
A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.
Official code repository for GATK versions 4 and up
A full spaCy pipeline and models for scientific/biomedical documents.
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
Conda recipes for the bioconda channel.
Data intensive science for everyone.