Single-cell analysis in Python. Scales to >100M cells.
- machine-learning
- data-science
- visualize-data
- transcriptomics
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Single-cell analysis in Python. Scales to >100M cells.
Reverse engineering SARS-CoV-2
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A versatile pairwise aligner for genomic and spliced nucleotide sequences
Official code repository for GATK versions 4 and up
Deep probabilistic analysis of single-cell and spatial omics data
Implementation of Alphafold 3 from Google Deepmind in Pytorch
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
Spatial Single Cell Analysis in Python
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
A dependency-free cross-platform swiss army knife for PDB files.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
talk with NCBI entrez using R
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
LLM for Drug Editing, ICLR 2024
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Run scripts, explore your genome, and get personalized explanations — all in natural dialogue.