Find open-source science resources
A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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23 of 9,808 resources
The following tool computes background parenchyma enhancement quantification on DCE-MRI at baseline and first time point with enhancement.
Structural Variants Assessment Based on Haplotype-resolved Assemblies.
Rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity.
Neural ADMIXTURE is an unsupervised global ancestry inference technique based on ADMIXTURE. By using neural networks, Neural ADMIXTURE offers high quality ancestry assignments with a running time which is much faster than ADMIXTURE's.
A network-based approach for genome-wide association studies in structured populations.
A Massively Parallel Method for Accelerating Protein Structure Reconstruction from Internal Coordinates.
User-guided local and global copy-number segmentation for tumor sequencing data.
The ToxPi framework provides a method for transparently integrating and visualizing data across disparate information domains and is often used to determine risk values for the data being analyzed.
openCARP is an open cardiac electrophysiology simulator for in-silico experiments. Its source code is public and the software is freely available for academic purposes. openCARP is easy to use and offers single cell as well as multiscale simulations from ion channel to organ level. Additionally, openCARP includes a wide variety of functions for pre- and post-processing of data as well as visualization. The python-based CARPutils framework enables the user to develop and share simulation pipelines, i.e. automating in-silico experiments including all modeling/simulation steps.
A Method for the Identification and Prioritization of Personalized Cancer Drivers.
A Machine Learning Model for Predicting the Pathogenicity of Missense Variants.
iQcell is a platform for predicting the effect of gene perturbations on developmental trajectories using single-cell RNA-seq data.
ClassifyCNV is a command-line tool that implements the 2019 ACMG guidelines to evaluate the pathogenicity of germline duplications and deletions.
Predicting effects of mutations on protein stability using graph neural networks.
A method for annotation of metal binding functionality encoded in protein sequences.
Efficient TWAS Tool with Nonparametric Bayesian eQTL Weights of 49 Tissue Types from GTEx V8.
An open-source computational pipeline for robust nanobody humanization.
A Python script to predict peptide MHC binding and presentation with BERT model. Improves MHC-peptide class II interaction prediction with transformer and multiple instance learning.
MultiiVI is a part of the scvi-tools framework and carries out integration of paired/unpaired multiome data, missing modality imputation, normalization of other cell- and sample-level confounding factors
The Federated Execution Manager (FEM) is a software component designed to coordinate and manage the execution of distributed processes in a federated leaning (FL) or decentralised compute environment where multiple devices or clients, i.e. the federated data nodes (FDN) provide compute and data resources.