Data · dataset · 2021
Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs"
Listed in Researchdata.se and Swedish National Data Service — shown once because both records carry DOI 10.57804/y6dd-4f83
We built a framework to identify tissue-specific functional motifs (funMotifs) across the genome based on thousands of annotation tracks obtained from large-scale genomics projects including ENCODE, RoadMap Epigenomics and FANTOM.
Description
The annotations were weighted using a logistic regression model trained on regulatory elements obtained from massively parallel reporter assays. Overall, genome-wide predicted motifs of 519 TFs were characterized across fifteen tissue types. funMotifs summarizes the weighted annotations into a functional activity score for each of the predicted motifs.
Please read the article the data contributed to for further information: doi.org/10.1101/683722. The dataset was originally published in DiVA and moved to SND in 2024.
Links
Where it is published
- DOI doi.org/10.57804/y6dd-4f83 ↗
DOI / persistent id · from researchdata se
Catalogue records · 2
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
- OAI-PMH record snd.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from snd se
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences
- Inferred from text
- Bioinformatics and computational biology 75%
Provenance · 2 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Researchdata.se | oai:researchdata.se:2024-343/1 | 13 d ago | JSON v1 |
| Swedish National Data Service | oai:researchdata.se:2024-343/1 | 2 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · researchdata se | taxonomy-embedding@1.1.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · snd se | connector:snd_se@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · snd se | connector:snd_se@1.0.0 | |
| description | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata se | connector:researchdata_se@1.0.0 | |
| publication_date | source · researchdata se | connector:researchdata_se@1.0.0 | |
| title | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/title |