Repository Index

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

• tensorflow
• deep-neural-network
• genomics
• science

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

Cloud-native genomic dataframes and batch computing

• genetics
• vcf
• genomics
• gwas

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

• spark
• big-data
• bioinformatics
• genomics

C library for high-throughput sequencing data formats

• htslib
• bioinformatics
• sam
• bam

Precision Medicine Knowledge Graph (PrimeKG)

• knowledge-graph
• precision-medicine
• therapeutics
• bioinformatics

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning

Fast, sensitive and accurate integration of single-cell data with Harmony

• scrna-seq
• algorithm
• data-integration
• r

Spatial Single Cell Analysis in Python

• single-cell-rna-seq
• single-cell-genomics
• spatial-transcriptomics
• spatial-analysis

R package for detecting doublets in single-cell RNA sequencing data

[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome

• dataset
• dna
• dna-processing
• dna-training

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

Graph-linked unified embedding for single-cell multi-omics data integration

• bioinformatics
• deep-learning
• single-cell
• single-cell-multiomics

Benchmarking analysis of data integration tools

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

UCE is a zero-shot foundation model for single-cell gene expression data

Native R and Python sample-deletion robustness for omics: candidate certificates, minimum deletion bounds, Bioconductor model refits and donor-level pseudobulk

• bioinformatics
• exact-optimization
• metabolomics
• paired-data

Schema and generated objects for biolink data model and upper ontology

• biolink
• monarchinitiative
• gene-ontology
• datamodel

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

• cancer-genomics
• cnv-detection
• single-cell
• phylogeny

A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Open-source software for exploring and analyzing large, high-dimensional image-derived data.

• cellprofiler-analyst
• cellprofiler
• image-analysis
• machine-learning

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.