jaspar-database

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JASPAR 2024 TF binding profiles via REST API and pyJASPAR. Retrieve PFMs/PWMs by TF name, JASPAR ID, species, or structural class. Scan DNA for TFBS; browse by taxon (human, mouse) or TF family (bHLH, zinc finger). Use for motif enrichment input, TFBS scanning, and regulatory sequence analysis. For ChIP-seq peak motif discovery use homer-motif-analysis; for regulatory variant scoring use regulomedb-database.

API & Backend 286 stars 26 forks Updated 4 days ago NOASSERTION

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# JASPAR Database ## Overview JASPAR is a curated, open-access database of transcription factor (TF) binding profiles represented as position frequency matrices (PFMs). The 2024 release contains 1,209 profiles in the CORE vertebrate collection, covering 783 TFs with experimentally validated binding data from SELEX, ChIP-seq, and PBM experiments. Access is free via the JASPAR REST API at `https://jaspar.elixir.no/api/v1/` — no authentication required — and through the `pyJASPAR` Python library for matrix retrieval and manipulation. ## When to Use - Looking up the PWM or PFM for a specific TF by name (e.g., CTCF, SP1, GATA1) to use as motif input for a scanning tool - Retrieving all JASPAR profiles for a species (e.g., Homo sapiens, Mus musculus) to build a motif library for enrichment analysis - Scanning a DNA promoter sequence for predicted TF binding sites using a known PWM - Finding all TFs of a given structural class (bHLH, zinc finger, homeodomain) to build a TF family binding profile set - Getting metadata for a JASPAR matrix: number of binding sites, information content, GC content, experiment type - Downloading complete JASPAR collection sets (CORE, UNVALIDATED, CNE) in JASPAR or MEME format for batch analysis - Use `homer-motif-analysis` instead when you need de novo motif discovery from ChIP-seq peaks; JASPAR is for retrieving known matrices - For regulatory element annotations tied to a genomic region use `encode-database` or `regulomedb-database` ## Prerequisi...

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Author
jaechang-hits
Repository
jaechang-hits/SciAgent-Skills
Created
5 months ago
Last Updated
4 days ago
Language
Python
License
NOASSERTION

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