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GROP: A genomic information repository for oilplants

Biomass energy is an essential component of the agriculture economy and represents an important and particularly significant renewable energy source in the fight against fossil fuel depletion and global warming. The recognition that many plants naturally synthesize hydrocarbons makes these oil plant...

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Autores principales: Guo, Wenlei, Jin, Hongmiao, Chen, Junhao, Huang, Jianqin, Zheng, Dingwei, Cheng, Zhitao, Liu, Xinyao, Yang, Zhengfu, Chen, Fei, Lim, Kean-Jin, Wang, Zhengjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583018/
https://www.ncbi.nlm.nih.gov/pubmed/36275551
http://dx.doi.org/10.3389/fpls.2022.1023938
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author Guo, Wenlei
Jin, Hongmiao
Chen, Junhao
Huang, Jianqin
Zheng, Dingwei
Cheng, Zhitao
Liu, Xinyao
Yang, Zhengfu
Chen, Fei
Lim, Kean-Jin
Wang, Zhengjia
author_facet Guo, Wenlei
Jin, Hongmiao
Chen, Junhao
Huang, Jianqin
Zheng, Dingwei
Cheng, Zhitao
Liu, Xinyao
Yang, Zhengfu
Chen, Fei
Lim, Kean-Jin
Wang, Zhengjia
author_sort Guo, Wenlei
collection PubMed
description Biomass energy is an essential component of the agriculture economy and represents an important and particularly significant renewable energy source in the fight against fossil fuel depletion and global warming. The recognition that many plants naturally synthesize hydrocarbons makes these oil plants indispensable resources for biomass energy, and the advancement of next-generation sequencing technology in recent years has now made available mountains of data on plants that synthesize oil. We have utilized a combination of bioinformatic protocols to acquire key information from this massive amount of genomic data and to assemble it into an oil plant genomic information repository, built through website technology, including Django, Bootstrap, and echarts, to create the Genomic Information Repository for Oil Plants (GROP) portal (http://grop.site/) for genomics research on oil plants. The current version of GROP integrates the coding sequences, protein sequences, genome structure, functional annotation information, and other information from 18 species, 22 genome assemblies, and 46 transcriptomes. GROP also provides BLAST, genome browser, functional enrichment, and search tools. The integration of the massive amounts of oil plant genomic data with key bioinformatics tools in a database with a user-friendly interface allows GROP to serve as a central information repository to facilitate studies on oil plants by researchers worldwide.
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spelling pubmed-95830182022-10-21 GROP: A genomic information repository for oilplants Guo, Wenlei Jin, Hongmiao Chen, Junhao Huang, Jianqin Zheng, Dingwei Cheng, Zhitao Liu, Xinyao Yang, Zhengfu Chen, Fei Lim, Kean-Jin Wang, Zhengjia Front Plant Sci Plant Science Biomass energy is an essential component of the agriculture economy and represents an important and particularly significant renewable energy source in the fight against fossil fuel depletion and global warming. The recognition that many plants naturally synthesize hydrocarbons makes these oil plants indispensable resources for biomass energy, and the advancement of next-generation sequencing technology in recent years has now made available mountains of data on plants that synthesize oil. We have utilized a combination of bioinformatic protocols to acquire key information from this massive amount of genomic data and to assemble it into an oil plant genomic information repository, built through website technology, including Django, Bootstrap, and echarts, to create the Genomic Information Repository for Oil Plants (GROP) portal (http://grop.site/) for genomics research on oil plants. The current version of GROP integrates the coding sequences, protein sequences, genome structure, functional annotation information, and other information from 18 species, 22 genome assemblies, and 46 transcriptomes. GROP also provides BLAST, genome browser, functional enrichment, and search tools. The integration of the massive amounts of oil plant genomic data with key bioinformatics tools in a database with a user-friendly interface allows GROP to serve as a central information repository to facilitate studies on oil plants by researchers worldwide. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9583018/ /pubmed/36275551 http://dx.doi.org/10.3389/fpls.2022.1023938 Text en Copyright © 2022 Guo, Jin, Chen, Huang, Zheng, Cheng, Liu, Yang, Chen, Lim and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Guo, Wenlei
Jin, Hongmiao
Chen, Junhao
Huang, Jianqin
Zheng, Dingwei
Cheng, Zhitao
Liu, Xinyao
Yang, Zhengfu
Chen, Fei
Lim, Kean-Jin
Wang, Zhengjia
GROP: A genomic information repository for oilplants
title GROP: A genomic information repository for oilplants
title_full GROP: A genomic information repository for oilplants
title_fullStr GROP: A genomic information repository for oilplants
title_full_unstemmed GROP: A genomic information repository for oilplants
title_short GROP: A genomic information repository for oilplants
title_sort grop: a genomic information repository for oilplants
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583018/
https://www.ncbi.nlm.nih.gov/pubmed/36275551
http://dx.doi.org/10.3389/fpls.2022.1023938
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