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BigBio Stack

Official

@bigbio · Cambridge, UK

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61Public Repos
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40Published Skills

Provide big data solutions Bioinformatics

Skills Distribution
DomainData Systems...Proteomics Metadat.. (35%)Genomic Variant An.. (35%)Multiomics Data St.. (30%)

Agent Skills by BigBio Stack

Showing 40 vetted skills indexed across 2 GitHub repositories.

bigbiobigbio

fake

Validate hvantk plugin module structure and registration with pytest.

Official
Basic
bigbiobigbio

hvantk:resource-clingen

Convert ClinGen Gene-Disease Validity CSV data into Hail Tables.

Official
Advanced
bigbiobigbio

hvantk:resource-clinvar

Build Hail Table artifacts from ClinVar VCF releases for variant annotation.

Official
Advanced
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gevir

Integrate GeVIR and VIRLoF ranks into Hail-based variant annotation pipelines.

Official
Intermediate
bigbiobigbio

hvantk:resource-uniprot-ptm

Builds locus-keyed Hail Tables from UniProt PTM data for variant annotation.

Official
Advanced
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hvantk:resource-insider

Build a Hail Table from Interactome Insider BED files for interval-based variant annotation.

Official
Advanced
bigbiobigbio

onek-genomes

Ingest 1000 Genomes VCFs and sample metadata into Hail MatrixTables.

Official
Advanced
bigbiobigbio

alphagenome

Predict functional effects of genetic variants using the AlphaGenome API.

Official
Advanced
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pqtl

Processes pQTL summary statistics into Hail Tables with Ensembl ID mapping.

Official
Advanced
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hvantk:resource-hgnc

Map legacy gene symbols and aliases to canonical HGNC identifiers.

Official
Intermediate
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gnomad-metrics

Download gnomAD constraint tables and build Hail Tables with schema validation.

Official
Intermediate
bigbiobigbio

hvantk:conventions

Define development standards and architectural patterns for hvantk multiomics plugins.

Official
Advanced
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hvantk:resource-gtex-eqtl

Standardize GTEx cis-eQTL summary statistics into unified Hail Tables.

Official
Advanced
bigbiobigbio

cosmic-cgc

Process and annotate COSMIC Cancer Gene Census data for Hail-based multiomics variant analysis.

Official
Advanced
bigbiobigbio

hvantk:resource-gencc

Build GenCC gene-disease validity tables as Hail Tables for variant annotation.

Official
Advanced
bigbiobigbio

dbnsfp

Integrate functional prediction scores and population frequencies into a structured Hail Table.

Official
Advanced
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hvantk:resource-gwas-catalog

Build a structured Hail Table from EBI GWAS Catalog TSV files.

Official
Advanced
bigbiobigbio

hvantk:resource-ucsc-cellbrowser

Convert UCSC Cell Browser TSV matrices and metadata into AnnData objects.

Official
Advanced
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hvantk:resource-expression-atlas

Build standardized AnnData objects from EBI Expression Atlas bulk-RNA-seq TPM matrices and SDRF metadata.

Official
Intermediate
bigbiobigbio

ensembl-gene

Parse Ensembl GTF files into a per-gene Hail Table with structural and coordinate metadata.

Official
Advanced
bigbiobigbio

hvantk:resource-msigdb

Convert MSigDB GMT files into structured Hail Tables for genomic analysis.

Official
Intermediate
bigbiobigbio

hvantk:resource-peptideatlas-phospho

Parse PeptideAtlas human phospho-proteome TSV archives into site-level intermediate files.

Official
Advanced
bigbiobigbio

hvantk:resource-cptac-expression

Convert CPTAC protein expression matrices into AnnData objects with metadata integration.

Official
Intermediate
bigbiobigbio

hvantk:resource-cptac-phospho

Retrieve CPTAC phosphoproteomics data and transform it into AnnData and TSV formats.

Official
Advanced

Frequently Asked Questions About BigBio Stack

FAQPage Schema
What specific tasks can I perform with BigBio Stack?

You can validate and fix SDRF proteomics metadata, convert diverse genomic resources like ClinGen or GWAS Catalog into Hail Tables, and transform expression matrices into standardized AnnData objects for multiomics research.

Which technical personas benefit from these resources?

Bioinformaticians, computational biologists, and data engineers working on large-scale multiomics pipelines benefit from these standardized data ingestion and validation routines for proteomics and genomics datasets.

What are the prerequisites for running these data processing routines?

Users require a functional environment capable of executing data processing tasks, typically involving Conda, Pip, or uv for dependency management, alongside access to the specific source data archives like VCF, TSV, or GTF files.