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DESSO-DB: A web database for sequence and shape motif analyses and identification

Cis-regulatory motif (motif for short) identification and analyses are essential steps in detecting gene regulatory mechanisms. Deep learning (DL) models have shown substantial advances in motif prediction. In parallel, intuitive and integrative web databases are needed to make effective use of DL m...

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Autores principales: Wang, Xiaoying, Wang, Cankun, Li, Lang, Ma, Qin, Ma, Anjun, Liu, Bingqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233226/
https://www.ncbi.nlm.nih.gov/pubmed/35782725
http://dx.doi.org/10.1016/j.csbj.2022.06.031
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author Wang, Xiaoying
Wang, Cankun
Li, Lang
Ma, Qin
Ma, Anjun
Liu, Bingqiang
author_facet Wang, Xiaoying
Wang, Cankun
Li, Lang
Ma, Qin
Ma, Anjun
Liu, Bingqiang
author_sort Wang, Xiaoying
collection PubMed
description Cis-regulatory motif (motif for short) identification and analyses are essential steps in detecting gene regulatory mechanisms. Deep learning (DL) models have shown substantial advances in motif prediction. In parallel, intuitive and integrative web databases are needed to make effective use of DL models and ensure easy access to the identified motifs. Here, we present DESSO-DB, a web database developed to allow efficient access to the identified motifs and diverse motif analyses. DESSO-DB provides motif prediction results and visualizations of 690 ENCODE human Chromatin Immunoprecipitation sequencing (ChIP-seq) data (including 161 transcription factors (TFs) in 91 cell lines) and 1,677 human ChIP-seq data (including 547 TFs in 359 cell lines) from Cistrome DB using DESSO, which is an in-house developed DL tool for motif prediction. It also provides online motif finding and scanning functions for new ChIP-seq/ATAC-seq datasets and downloadable motif results of the above 690 DECODE datasets, 126 cancer ChIP-seq, 55 RNA Crosslinking-Immunoprecipitation and high-throughput sequencing (CLIP-seq) data. DESSO-DB is deployed on the Google Cloud Platform, providing stabilized and efficient resources freely to the public. DESSO-DB is free and available at http://cloud.osubmi.com/DESSO/.
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spelling pubmed-92332262022-07-01 DESSO-DB: A web database for sequence and shape motif analyses and identification Wang, Xiaoying Wang, Cankun Li, Lang Ma, Qin Ma, Anjun Liu, Bingqiang Comput Struct Biotechnol J Research Article Cis-regulatory motif (motif for short) identification and analyses are essential steps in detecting gene regulatory mechanisms. Deep learning (DL) models have shown substantial advances in motif prediction. In parallel, intuitive and integrative web databases are needed to make effective use of DL models and ensure easy access to the identified motifs. Here, we present DESSO-DB, a web database developed to allow efficient access to the identified motifs and diverse motif analyses. DESSO-DB provides motif prediction results and visualizations of 690 ENCODE human Chromatin Immunoprecipitation sequencing (ChIP-seq) data (including 161 transcription factors (TFs) in 91 cell lines) and 1,677 human ChIP-seq data (including 547 TFs in 359 cell lines) from Cistrome DB using DESSO, which is an in-house developed DL tool for motif prediction. It also provides online motif finding and scanning functions for new ChIP-seq/ATAC-seq datasets and downloadable motif results of the above 690 DECODE datasets, 126 cancer ChIP-seq, 55 RNA Crosslinking-Immunoprecipitation and high-throughput sequencing (CLIP-seq) data. DESSO-DB is deployed on the Google Cloud Platform, providing stabilized and efficient resources freely to the public. DESSO-DB is free and available at http://cloud.osubmi.com/DESSO/. Research Network of Computational and Structural Biotechnology 2022-06-16 /pmc/articles/PMC9233226/ /pubmed/35782725 http://dx.doi.org/10.1016/j.csbj.2022.06.031 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Wang, Xiaoying
Wang, Cankun
Li, Lang
Ma, Qin
Ma, Anjun
Liu, Bingqiang
DESSO-DB: A web database for sequence and shape motif analyses and identification
title DESSO-DB: A web database for sequence and shape motif analyses and identification
title_full DESSO-DB: A web database for sequence and shape motif analyses and identification
title_fullStr DESSO-DB: A web database for sequence and shape motif analyses and identification
title_full_unstemmed DESSO-DB: A web database for sequence and shape motif analyses and identification
title_short DESSO-DB: A web database for sequence and shape motif analyses and identification
title_sort desso-db: a web database for sequence and shape motif analyses and identification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233226/
https://www.ncbi.nlm.nih.gov/pubmed/35782725
http://dx.doi.org/10.1016/j.csbj.2022.06.031
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