Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs" Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs" 2024-343-1 https://doi.org/10.57804/y6dd-4f83 Swedish National Data Service Svensk nationell datatjänst Landing page Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs" Supplementary data for the article "funMotifs: Tissue-specific transcription factor motifs" 2024-343-1 https://doi.org/10.57804/y6dd-4f83 10.1101/683722 Smolinska, Karolina Smolinska, Karolina Umer, Husen Muhammad Umer, Husen Muhammad Marzouka, Nour-al-dain Marzouka, Nour-al-dain Wadelius, Claes Wadelius, Claes Komorowski, Jan Komorowski, Jan Swedish National Data Service Svensk nationell datatjänst Landing page genomics genomik gene expression genuttryck 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. Se engelsk version för beskrivning. Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024. Numeric Text Still image Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess Husen M. Umer, Karolina Smolinska-Garbulowska, Nour-al-dain Marzouka, Zeeshan Khaliq, Claes Wadelius, Jan Komorowski bioRxiv 683722; doi: https://doi.org/10.1101/683722 Husen M. Umer, Karolina Smolinska-Garbulowska, Nour-al-dain Marzouka, Zeeshan Khaliq, Claes Wadelius, Jan Komorowski bioRxiv 683722; doi: https://doi.org/10.1101/683722 10.1101/683722 2019