BDB Genomics develops "open-source" computational infrastructure for epigenomic data analysis, with a focus on reproducibility, accessibility, and scalable design.
Type 2 Diabetes epigenomics.
Cancer
A production-grade, modular Snakemake framework for reproducible ATAC-seq analysis, featuring upfront configuration validation and robust QC gating.
Python 2
Production-grade, modular Snakemake pipeline for RNA-seq analysis. Includes QC (FastQC, fastp), alignment (STAR), quantification (featureCounts), post-alignment QC (RSeQC, Preseq, Picard), DESeq2 …
Python 2
A lightweight R package that infers chromatin remodelling velocity from scATAC-seq data
R 1
A modular, production-ready Snakemake pipeline for CUT&RUN epigenomic analysis — featuring E. coli spike-in normalization, SEACR peak calling, fragment size analysis, and comprehensive QC reporting…
Python
R interface to Google DeepMind AlphaGenome API. Bridging gRPC-based multimodal genomic predictions (RNA-seq, ATAC, Splicing, 3D Genome) into R-native workflows.
R
A production-grade, modular Snakemake framework for reproducible ATAC-seq analysis, featuring upfront configuration validation and robust QC gating.
A modular, production-ready Snakemake pipeline for CUT&RUN epigenomic analysis — featuring E. coli spike-in normalization, SEACR peak calling, fragment size analysis, and comprehensive QC reporting. Designed following ENCODE and nf-core best practices.
Production-grade, modular Snakemake pipeline for RNA-seq analysis. Includes QC (FastQC, fastp), alignment (STAR), quantification (featureCounts), post-alignment QC (RSeQC, Preseq, Picard), DESeq2 normalization, and MultiQC reporting. HPC-ready with Singularity support.
A lightweight R package that infers chromatin remodelling velocity from scATAC-seq data
R interface to Evo 2 via NVIDIA BioNeMo. Enabling zero-shot variant effect prediction and generative genomics in R-native workflows.
R interface to Google DeepMind AlphaGenome API. Bridging gRPC-based multimodal genomic predictions (RNA-seq, ATAC, Splicing, 3D Genome) into R-native workflows.
Takes a list of genes and builds one graph connecting them, using data from KEGG, STRING, Gene Ontology, UniProt, Ensembl, and Reactome. Matches gene names across these databases, notes which database each connection came from, and records which version of each database was used so results can be reproduced later.
A centralized PostgreSQL database to store and manage sample metadata across all BDB Genomics epigenomic pipeline assays with integrated QC tracking to flag and monitor low-quality samples.
This organization has no public members. You must be a member to see who’s a part of this organization.
Loading…
Loading…