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Data · dataset · 2021

Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs"

Listed in Researchdata.se

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.

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Where it is published

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Researchdata.seoai:researchdata.se:2024-343/113 d agoJSON v1
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