pranavathiyani

pranavathiyani's Stars

• Steinbeck-Lab/coconut

  COCONUT (COlleCtion of Open Natural prodUcTs): A comprehensive platform facilitating natural product research by providing data, tools, and services for deposition, curation, and reuse.

  Language:PHP14

• chanzuckerberg/czid-workflows

  Portable WDL workflows for CZ ID production pipelines

  Language:Python407

• baliga-lab/PRIME

  Phenotype prediction tool

  2

• jiabowang/GAPIT

  Genome Association Predict Integrate Tools

  Language:R18157

• microbial-pangenomes-lab/microGWAS

  Bacterial GWAS analysis

  Language:Python341

• jl02142/OrthoRefine

  Language:C++4

• cokelaer/bioservices

  Access to Biological Web Services from Python.

  Language:Python28661

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• huggingface/smol-course

  A course on aligning smol models.

  Language:Jupyter Notebook3.6k1.1k

• bbglab/openvariant

  Read, parse and operate different multiple input file formats with OpenVariant

  Language:Python101

• liudan111/PLM-interact

  PLM-interact: extending protein language models to predict protein-protein interactions.

  Language:Python13

• wshuai294/RGC_analysis

  Simulate the microbiome sample based on the RGC genomes

  Language:Python1

• Blessed-Deep/Trustworthy-Centrality-Prediction-Paradigm-for-analyzing-Two-Protein-Protein-Interaction-Networks

  TCPP-2PPIN: Trustworthy Centrality Prediction Paradigm for analyzing Two Protein-Protein Interaction Networks using 31 centrality measures

  Language:Jupyter Notebook1

• sacdallago/biotrainer

  Biological prediction models made simple.

  Language:Python378

• tencent-ailab/Interformer

  Language:Jupyter Notebook6410

• saezlab/networkcommons

  NetworkCommons is a community-driven platform designed to simplify access to tools and resources for inferring context-specific protein interaction networks by integrating context-agnostic prior knowledge with omics data.

  Language:Python93

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.2k549

• marbl/Mash

  Fast genome and metagenome distance estimation using MinHash

  Language:C++39690

• Cao-Labs/GOBoost

  Language:Python2

• mpjw/consensus3Di

  Language:Jupyter Notebook1

• duckdb/duckdb

  DuckDB is an analytical in-process SQL database management system

  Language:C++25.3k2k

• soedinglab/MMseqs2

  MMseqs2: ultra fast and sensitive search and clustering suite

  Language:C1.5k202

• cyNeo4j/DSMN

  Discovering life’s directed metabolic (sub)paths to interpret biochemical markers

  Language:HTML11

• google-deepmind/alphafold3

  AlphaFold 3 inference pipeline.

  Language:Python5.7k673

• BioinfoMachineLearning/TransFew

  Transformer for protein function prediction (version 2)

  Language:Jupyter Notebook11

• MIDIfactory/AlphaFastPPi

  Fast AlphaFold-Multimer based pipeline for Protein-Protein Interaction (PPI) screening

  Language:Python314

• wells-wood-research/drMD

  Molecular Dynamics for Experimentalists

  Language:Python101

• elixir-europe-training/Training-Metrics-Database

  TMD - a database for aggregation of training metrics in ELIXIR

  Language:Python61

• jhyun95/pangenomix

  Language:Python32

• refresh-bio/VCFShark

  Language:C++182