Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs"
Description
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. 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: https://doi.org/10.1101/683722.
The dataset was originally published in DiVA and moved to SND in 2024.
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http://data.europa.eu/88u/dataset/https-doi-org-10-57804-y6dd-4f83 |
Tags
- genomik
- gene-expression
- genuttryck
- genomics