Experimental design-based functional mining and characterization of high-throughput sequencing data in the sequence read archive.
Experimental design-based functional mining and characterization of high-throughput sequencing data in the sequence read archive.
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DOI：
10.1371/journal.pone.0077910
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Bono H
中科院分区：
文献类型：
--
作者：
Nakazato T;Ohta T;Bono H
高通量测序技术，也称为下一代测序（NGS），有可能彻底改变基因组测序、转录组学和表观遗传学的整个过程。测序数据在公共主数据存档（序列读取存档 (SRA)）中捕获。截至2013年1月，已有超过14,000个项目的数据提交给SRA，是上一年的两倍。研究人员可以从SRA网站下载原始序列数据以进行进一步分析并与自己的数据进行比较。然而，由于数据结构复杂，并且实验条件和原始序列部分用自然语言描述，因此使用SRA搜索条目和下载感兴趣的原始序列极其困难。此外，一些序列的质量不一致，因为任何人都可以向 SRA 提交测序数据而无需进行质量检查。因此，作为数据质量的标准，我们重点关注期刊文章中引用的 SRA 条目。我们从 SRA 和期刊文章的全文版本中提取了 SRA ID 和 PubMed ID (PMID)，并检索了 2748 个 SRA ID-PMID 对。我们构建了一个参考 SRA 条目的出版物列表。由于组学分析的主题之一是阐明疾病机制，因此我们还根据从分配给每个 SRA 条目的文章中提取的医学主题标题 (MeSH)，通过疾病关键词来表征 SRA 条目。我们获得了989个SRA ID-MeSH疾病术语对，并参考SRA数据构建了疾病列表。我们之前在一个名为“Gendoo”的系统中开发了疾病的特征概况。我们在从 SRA 中提取的疾病与其特征概况之间生成了超链接。本研究开发的项目、出版物和疾病清单可在我们的网络服务“DBCLS SRA”(http://sra.dbcls.jp/) 上获取。该服务将改善对 SRA 高质量数据的访问。
High-throughput sequencing technology, also called next-generation sequencing (NGS), has the potential to revolutionize the whole process of genome sequencing, transcriptomics, and epigenetics. Sequencing data is captured in a public primary data archive, the Sequence Read Archive (SRA). As of January 2013, data from more than 14,000 projects have been submitted to SRA, which is double that of the previous year. Researchers can download raw sequence data from SRA website to perform further analyses and to compare with their own data. However, it is extremely difficult to search entries and download raw sequences of interests with SRA because the data structure is complicated, and experimental conditions along with raw sequences are partly described in natural language. Additionally, some sequences are of inconsistent quality because anyone can submit sequencing data to SRA with no quality check. Therefore, as a criterion of data quality, we focused on SRA entries that were cited in journal articles. We extracted SRA IDs and PubMed IDs (PMIDs) from SRA and full-text versions of journal articles and retrieved 2748 SRA ID-PMID pairs. We constructed a publication list referring to SRA entries. Since, one of the main themes of -omics analyses is clarification of disease mechanisms, we also characterized SRA entries by disease keywords, according to the Medical Subject Headings (MeSH) extracted from articles assigned to each SRA entry. We obtained 989 SRA ID-MeSH disease term pairs, and constructed a disease list referring to SRA data. We previously developed feature profiles of diseases in a system called “Gendoo”. We generated hyperlinks between diseases extracted from SRA and the feature profiles of it. The developed project, publication and disease lists resulting from this study are available at our web service, called “DBCLS SRA” (http://sra.dbcls.jp/). This service will improve accessibility to high-quality data from SRA.
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影响因子：
14.9
作者：
Kodama Y;Shumway M;Leinonen R;International Nucleotide Sequence Database Collaboration
通讯作者：
International Nucleotide Sequence Database Collaboration
影响因子：
14.9
作者：
Leinonen R;Akhtar R;Birney E;Bower L;Cerdeno-Tárraga A;Cheng Y;Cleland I;Faruque N;Goodgame N;Gibson R;Hoad G;Jang M;Pakseresht N;Plaister S;Radhakrishnan R;Reddy K;Sobhany S;Ten Hoopen P;Vaughan R;Zalunin V;Cochrane G
通讯作者：
Cochrane G
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
影响因子：
64.8
作者：
Chin, L.;Meyerson, M.;Aldape, K.;Bigner, D.;Mikkelsen, T.;VandenBerg, S.;Kahn, A.;Penny, R.;Ferguson, M. L.;Gerhard, D. S.;Getz, G.;Brennan, C.;Taylor, B. S.;Winckler, W.;Park, P.;Ladanyi, M.;Hoadley, K. A.;Verhaak, R. G. W.;Hayes, D. N.;Spellman, Paul T.;Absher, D.;Weir, B. A.;Ding, L.;Wheeler, D.;Lawrence, M. S.;Cibulskis, K.;Mardis, E.;Zhang, Jinghui;Wilson, R. K.;Donehower, L.;Wheeler, D. A.;Purdom, E.;Wallis, J.;Laird, P. W.;Herman, J. G.;Schuebel, K. E.;Weisenberger, D. J.;Baylin, S. B.;Schultz, N.;Yao, Jun;Wiedemeyer, R.;Weinstein, J.;Sander, C.;Gibbs, R. A.;Gray, J.;Kucherlapati, R.;Lander, E. S.;Myers, R. M.;Perou, C. M.;McLendon, Roger;Friedman, Allan;Van Meir, Erwin G;Brat, Daniel J;Mastrogianakis, Gena Marie;Olson, Jeffrey J;Lehman, Norman;Yung, W. K. Alfred;Bogler, Oliver;Berger, Mitchel;Prados, Michael;Muzny, Donna;Morgan, Margaret;Scherer, Steve;Sabo, Aniko;Nazareth, Lynn;Lewis, Lora;Hall, Otis;Zhu, Yiming;Ren, Yanru;Alvi, Omar;Yao, Jiqiang;Hawes, Alicia;Jhangiani, Shalini;Fowler, Gerald;San Lucas, Anthony;Kovar, Christie;Cree, Andrew;Dinh, Huyen;Santibanez, Jireh;Joshi, Vandita;Gonzalez-Garay, Manuel L.;Miller, Christopher A.;Milosavljevic, Aleksandar;Sougnez, Carrie;Fennell, Tim;Mahan, Scott;Wilkinson, Jane;Ziaugra, Liuda;Onofrio, Robert;Bloom, Toby;Nicol, Rob;Ardlie, Kristin;Baldwin, Jennifer;Gabriel, Stacey;Fulton, Robert S.;McLellan, Michael D.;Larson, David E.;Shi, Xiaoqi;Abbott, Rachel;Fulton, Lucinda;Chen, Ken;Koboldt, Daniel C.;Wendl, Michael C.;Meyer, Rick;Tang, Yuzhu;Lin, Ling;Osborne, John R.;Dunford-Shore, Brian H.;Miner, Tracie L.;Delehaunty, Kim;Markovic, Chris;Swift, Gary;Courtney, William;Pohl, Craig;Abbott, Scott;Hawkins, Amy;Leong, Shin;Haipek, Carrie;Schmidt, Heather;Wiechert, Maddy;Vickery, Tammi;Scott, Sacha;Dooling, David J.;Chinwalla, Asif;Weinstock, George M.;O'Kelly, Michael;Robinson, Jim;Alexe, Gabriele;Beroukhim, Rameen;Carter, Scott;Chiang, Derek;Gould, Josh;Gupta, Supriya;Korn, Josh;Mermel, Craig;Mesirov, Jill;Monti, Stefano;Nguyen, Huy;Parkin, Melissa;Reich, Michael;Stransky, Nicolas;Garraway, Levi;Golub, Todd;Protopopov, Alexei;Perna, Ilana;Aronson, Sandy;Sathiamoorthy, Narayan;Ren, Georgia;Kim, Hyunsoo;Kong, Sek Won;Xiao, Yonghong;Kohane, Isaac S.;Seidman, Jon;Cope, Leslie;Pan, Fei;Van Den Berg, David;Van Neste, Leander;Yi, Joo Mi;Li, Jun Z.;Southwick, Audrey;Brady, Shannon;Aggarwal, Amita;Chung, Tisha;Sherlock, Gavin;Brooks, James D.;Jakkula, Lakshmi R.;Lapuk, Anna V.;Marr, Henry;Dorton, Shannon;Choi, Yoon Gi;Han, Ju;Ray, Amrita;Wang, Victoria;Durinck, Steffen;Robinson, Mark;Wang, Nicholas J.;Vranizan, Karen;Peng, Vivian;Van Name, Eric;Fontenay, Gerald V.;Ngai, John;Conboy, John G.;Parvin, Bahram;Feiler, Heidi S.;Speed, Terence P.;Socci, Nicholas D.;Olshen, Adam;Lash, Alex;Reva, Boris;Antipin, Yevgeniy;Stukalov, Alexey;Gross, Benjamin;Cerami, Ethan;Wang, Wei Qing;Qin, Li-Xuan;Seshan, Venkatraman E.;Villafania, Liliana;Cavatore, Magali;Borsu, Laetitia;Viale, Agnes;Gerald, William;Topal, Michael D.;Qi, Yuan;Balu, Sai;Shi, Yan;Wu, George;Bittner, Michael;Shelton, Troy;Lenkiewicz, Elizabeth;Morris, Scott;Beasley, Debbie;Sanders, Sheri;Sfeir, Robert;Chen, Jessica;Nassau, David;Feng, Larry;Hickey, Erin;Schaefer, Carl;Madhavan, Subha;Buetow, Ken;Barker, Anna;Vockley, Joseph;Compton, Carolyn;Vaught, Jim;Fielding, Peter;Collins, Francis;Good, Peter;Guyer, Mark;Ozenberger, Brad;Peterson, Jane;Thomson, Elizabeth
通讯作者：
Thomson, Elizabeth
影响因子：
14.9
作者：
Amberger J;Bocchini CA;Scott AF;Hamosh A
通讯作者：
Hamosh A