In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter
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In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
A Go package for engineering organisms.
Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.
Generative biopolymer design with rich conditioning.
The repository host gives no description.
Graph-linked unified embedding for single-cell multi-omics data integration
Official repository for the ProteinGym benchmarks
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
A dependency-free cross-platform swiss army knife for PDB files.
The repository host gives no description.
Multi-Omics Factor Analysis
bioruby
Open Frontier Biomolecular Intelligence
Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk
Schema and generated objects for biolink data model and upper ontology
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
🏃 The go-to single-cell Foundation Model
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
Data visualisation web components for the life sciences.
A tool for cell instance aware segmentation in densely packed 3D volumetric images