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EBioMedicine. 2024 Feb;100:104988. doi: 10.1016/j.ebiom.2024.104988. Epub 2024 Feb 1.
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本文引用的文献

1
Cancer biomarkers: are we ready for the prime time?癌症生物标志物:我们是否已经准备好迎接黄金时代?
Cancers (Basel). 2010 Mar 22;2(1):190-208. doi: 10.3390/cancers2010190.
2
CoMAGC: a corpus with multi-faceted annotations of gene-cancer relations.CoMAGC:一个具有基因-癌症关系多方面注释的语料库。
BMC Bioinformatics. 2013 Nov 14;14:323. doi: 10.1186/1471-2105-14-323.
3
DigSee: Disease gene search engine with evidence sentences (version cancer).DigSee:带证据句的疾病基因搜索引擎(癌症版)。
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W510-7. doi: 10.1093/nar/gkt531. Epub 2013 Jun 12.
4
Cancer genome landscapes.肿瘤基因组图谱。
Science. 2013 Mar 29;339(6127):1546-58. doi: 10.1126/science.1235122.
5
TSGene: a web resource for tumor suppressor genes.TSGene:肿瘤抑制基因的网络资源。
Nucleic Acids Res. 2013 Jan;41(Database issue):D970-6. doi: 10.1093/nar/gks937. Epub 2012 Oct 12.
6
Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations.使用EVEX探索生物分子文献:通过事件、同源性和间接关联连接基因。
Adv Bioinformatics. 2012;2012:582765. doi: 10.1155/2012/582765. Epub 2012 Jun 6.
7
BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events.BioContext:一个用于大规模提取和语境化生物分子事件的集成文本挖掘系统。
Bioinformatics. 2012 Aug 15;28(16):2154-61. doi: 10.1093/bioinformatics/bts332. Epub 2012 Jun 17.
8
MeInfoText 2.0: gene methylation and cancer relation extraction from biomedical literature.MeInfoText 2.0:从生物医学文献中提取基因甲基化与癌症的关系。
BMC Bioinformatics. 2011 Dec 14;12:471. doi: 10.1186/1471-2105-12-471.
9
Génie: literature-based gene prioritization at multi genomic scale.基因工程:多基因组尺度的基于文献的基因优先级排序。
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W455-61. doi: 10.1093/nar/gkr246. Epub 2011 May 23.
10
UniProt Knowledgebase: a hub of integrated protein data.UniProt 知识库:一个集成蛋白质数据的中心。
Database (Oxford). 2011 Mar 29;2011:bar009. doi: 10.1093/database/bar009. Print 2011.

OncoSearch:具有文献证据的癌症基因搜索引擎。

OncoSearch: cancer gene search engine with literature evidence.

机构信息

Department of Computer Science, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea.

School of Information and Communications, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju 500-712, Republic of Korea.

出版信息

Nucleic Acids Res. 2014 Jul;42(Web Server issue):W416-21. doi: 10.1093/nar/gku368. Epub 2014 May 9.

DOI:10.1093/nar/gku368
PMID:24813447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4086113/
Abstract

In order to identify genes that are involved in oncogenesis and to understand how such genes affect cancers, abnormal gene expressions in cancers are actively studied. For an efficient access to the results of such studies that are reported in biomedical literature, the relevant information is accumulated via text-mining tools and made available through the Web. However, current Web tools are not yet tailored enough to allow queries that specify how a cancer changes along with the change in gene expression level, which is an important piece of information to understand an involved gene's role in cancer progression or regression. OncoSearch is a Web-based engine that searches Medline abstracts for sentences that mention gene expression changes in cancers, with queries that specify (i) whether a gene expression level is up-regulated or down-regulated, (ii) whether a certain type of cancer progresses or regresses along with such gene expression change and (iii) the expected role of the gene in the cancer. OncoSearch is available through http://oncosearch.biopathway.org.

摘要

为了鉴定参与肿瘤发生的基因,并了解这些基因如何影响癌症,人们积极研究癌症中的异常基因表达。为了高效获取生物医学文献中报告的此类研究结果,通过文本挖掘工具来积累相关信息,并通过网络提供。然而,目前的网络工具还不够灵活,无法支持指定查询,即指定癌症如何随着基因表达水平的变化而变化,这是了解相关基因在癌症进展或消退中作用的重要信息。OncoSearch 是一个基于网络的引擎,用于在 Medline 摘要中搜索提到癌症中基因表达变化的句子,查询指定(i)基因表达水平是上调还是下调,(ii)某种类型的癌症是否随着这种基因表达变化而进展或消退,以及(iii)该基因在癌症中的预期作用。OncoSearch 可通过 http://oncosearch.biopathway.org 获得。