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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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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/. |
format | Online Article Text |
id | pubmed-9233226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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