From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics.
From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics.
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DOI:
10.1371/journal.pone.0127612
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Rocca-Serra P
中科院分区:
文献类型:
--
作者:
González-Beltrán A;Li P;Zhao J;Avila-Garcia MS;Roos M;Thompson M;van der Horst E;Kaliyaperumal R;Luo R;Lee TL;Lam TW;Edmunds SC;Sansone SA;Rocca-Serra P
Reproducing the results from a scientific paper can be challenging due to the absence of data and the computational tools required for their analysis. In addition, details relating to the procedures used to obtain the published results can be difficult to discern due to the use of natural language when reporting how experiments have been performed. The Investigation/Study/Assay (ISA), Nanopublications (NP), and Research Objects (RO) models are conceptual data modelling frameworks that can structure such information from scientific papers. Computational workflow platforms can also be used to reproduce analyses of data in a principled manner. We assessed the extent by which ISA, NP, and RO models, together with the Galaxy workflow system, can capture the experimental processes and reproduce the findings of a previously published paper reporting on the development of SOAPdenovo2, a de novo genome assembler. Executable workflows were developed using Galaxy, which reproduced results that were consistent with the published findings. A structured representation of the information in the SOAPdenovo2 paper was produced by combining the use of ISA, NP, and RO models. By structuring the information in the published paper using these data and scientific workflow modelling frameworks, it was possible to explicitly declare elements of experimental design, variables, and findings. The models served as guides in the curation of scientific information and this led to the identification of inconsistencies in the original published paper, thereby allowing its authors to publish corrections in the form of an errata. SOAPdenovo2 scripts, data, and results are available through the GigaScience Database: http://dx.doi.org/10.5524/100044; the workflows are available from GigaGalaxy: http://galaxy.cbiit.cuhk.edu.hk; and the representations using the ISA, NP, and RO models are available through the SOAPdenovo2 case study website http://isa-tools.github.io/soapdenovo2/. Contact: philippe.rocca-serra@oerc.ox.ac.uk and susanna-assunta.sansone@oerc.ox.ac.uk.
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影响因子:
1.9
作者:
Dumontier M;Baker CJ;Baran J;Callahan A;Chepelev L;Cruz-Toledo J;Del Rio NR;Duck G;Furlong LI;Keath N;Klassen D;McCusker JP;Queralt-Rosinach N;Samwald M;Villanueva-Rosales N;Wilkinson MD;Hoehndorf R
通讯作者:
Hoehndorf R
影响因子:
3.7
作者:
Garijo D;Kinnings S;Xie L;Xie L;Zhang Y;Bourne PE;Gil Y
通讯作者:
Gil Y
影响因子:
1.9
作者:
Brinkman RR;Courtot M;Derom D;Fostel JM;He Y;Lord P;Malone J;Parkinson H;Peters B;Rocca-Serra P;Ruttenberg A;Sansone SA;Soldatova LN;Stoeckert CJ Jr;Turner JA;Zheng J;OBI consortium
通讯作者:
OBI consortium
影响因子:
2.5
作者:
Belhajjame, Khalid;Zhao, Jun;Goble, Carole
通讯作者:
Goble, Carole
DOI:
10.1073/pnas.1017351108
发表时间:
2011-01-25
影响因子:
11.1
作者:
Gnerre, Sante;MacCallum, Iain;Jaffe, David B.
通讯作者:
Jaffe, David B.