The library

deeptools · Efficient RNA-seq QC and coverage visualization across large datasets.

depmap · One-query CRISPR dependency lookups for target prioritization.

diffdock · Structure-based drug discovery when you need 3D binding poses and pose rankings for virtual screening or lead optimization.

exa-search · Finding technical references, research papers, and blog posts when keyword search is too literal.

exploratory-data-analysis · Quickly understanding data distribution, correlations, and anomalies before modeling when you need visual and statistical summaries.

flowio · Flow cytometry experiments requiring FCS file parsing and event data extraction.

accessibility-aggregation · Building comprehensive open chromatin maps from multiple ATAC-seq and DNase-seq experiments.

batch-analysis · Quality screening and comparison across 5+ ENCODE experiments simultaneously.

geniml · Unsupervised learning on genomic interval data, region embeddings, and single-cell ATAC analysis.

cellxgene-context · Resolving cell-type contributions to bulk ENCODE regulatory signals using single-cell expression.

geomaster · Geospatial workflows spanning satellite imagery, GIS operations, and spatial ML across 70+ topics.

geopandas · Vector geospatial data operations (shapefiles, GeoJSON) with spatial joins and analysis.

compare-biosamples · Comparing metadata and attributes across ENCODE biosamples.

gget · Querying genomic databases and retrieving sequence and annotation data.

cross-reference · Linking data across multiple heterogeneous sources with consistent identifiers.

data-provenance · Publishing genomics workflows where 'we aligned with STAR' is too vague—lock down exact versions, genomes, parameters, and accessions for publication-ready methods.

disease-research · Disease mechanism research where non-coding variants need interpretation, or identifying therapeutic targets from epigenomic evidence rather than coding-only databases.

gtars · Genomic interval analysis where performance matters (millions of regions) or tokenization for genomic ML models; orders of magnitude faster than bedtools in pure Python.

download-encode · Bulk download and organization of ENCODE files when local infrastructure needed; starts with dry_run preview to confirm scope before committing.

hypogenic · Drug discovery when rational design beats screening; structure-guided SAR (structure-activity relationships) directly from sequences.

latchbio-integration · Running large-scale bioinformatics pipelines on managed cloud infrastructure without managing clusters

integrative-analysis · Creating a coherent multi-layer view of gene regulation by integrating ENCODE with expression, variation, and protein data

jaspar-motifs · Confirming ChIP-seq specificity or discovering co-binding regulatory complexes when gold-standard target validation is required.

liteparse · Local parsing with spatial awareness when cloud APIs are forbidden or bounding boxes are required for RAG grounding.

liftover-coordinates · Integrating historical GWAS or legacy ENCODE data when assembly consistency is a silent correctness requirement.

methylation-aggregation · Understanding tissue-specific regulatory chromatin state when aggregated epigenetic methylation landscape is the bottleneck.

motif-analysis · Discovering unknown binding factors or validating ChIP-seq specificity when a prior motif is not available.

multi-omics-integration · Systems understanding of gene regulation when no single modality captures the full biology.

peak-annotation · Functional interpretation of ChIP-seq experiments when gene-centric answers are needed quickly.

matchms · Identifying unknown compounds from mass spectra using spectral similarity.

pipeline-atacseq · Processing ATAC-seq FASTQ to peaks with proper Tn5 transposase offset correction.

matlab · Matrix operations and scientific computing with full visualization control.

pipeline-chipseq · Processing ChIP-seq data with treatment/control comparisons and IDR replicate analysis.

matplotlib · Creating publication-quality scientific plots with full customization control.

pipeline-cutandrun · Processing CUT&RUN epigenomic data with targeted chromatin profiling.

medchem · Designing drug molecules with integrated ADME and toxicity assessment.

modal · Running Python functions serverless with GPU/TPU for batch compute.

pipeline-guide · Selecting and executing appropriate pipeline for your genomics workflow.

molecular-dynamics · Running classical MD simulations with analysis pipelines and GPU acceleration.

pipeline-hic · Processing Hi-C FASTQ to 3D contact matrices and loop calls.

molfeat · Quickly featurizing chemical structures for QSAR, virtual screening, or deep learning without manual descriptor engineering.

pipeline-rnaseq · Processing bulk RNA-seq from raw data to publication-ready expression matrices following ENCODE standards.

networkx · Analyzing organizational hierarchies, social networks, or biological interaction networks without custom graph code.

pipeline-wgbs · Generating publication-ready methylation maps from whole-genome bisulfite sequencing following ENCODE methylation standards.

neurokit2 · Rapidly extracting heart rate, HRV, brainwave power, or autonomic indices from raw biosignals without implementing DSP.

publication-trust · Deciding whether to build downstream analysis on a paper's methods before wasting resources on unreliable findings.

neuropixels-analysis · Processing Neuropixels recordings to high-quality sorted units without manual curation optimization.

quality-assessment · Quickly deciding if a sequencing sample meets publication standards without manual QC checklist.

regulatory-elements · Linking noncoding variants or peaks to biological function without training custom classification models.

omero-integration · Centralizing large imaging datasets with rich metadata without custom database schema design.