Dataset
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Title of Dataset
Data from: From peer-reviewed to peer-reproduced in scholarly publishing: The complementary roles of data models and workflows in bioinformatics
Author of Dataset
Contact
Date of Dataset Creation
2015-06-09
Description
The SOAPdenovo2 case study is a reproducibility study aimed at exploring how existing research objects and workflow enactment engines can help assess, record and preserve scientific workflows and associated findings by reviewing a comparison between sequence assembly algorithm performance in the light of development of the SOAPdenovo2 de novo genome assembler. The case study was a joint effort by the GigaScience journal, the Investigation/Study/Assay (ISA) infrastructure, Nanopublication (Nanopub) and Research Object (RO) communities and SOAPdenovo2 de novo genome assembler developers. Included here are the relevant ISA-TAB, linkedISA, nanopubs and Research Object files. For more see the paper and GitHub page.
Citation
Gonzalez-Beltran, A, Li, P, Zhao, J, Avila-Garcia, MS, Roos, M, Thompson, M, van der Horst, E, Kaliyaperumal, R, Luo, R, Lee, TL, Lam, T, Edmunds, SC, Sansone, SA, Rocca-Serra, P. (2015). Data from: From peer-reviewed to peer-reproduced in scholarly publishing: The complementary roles of data models and workflows in bioinformatics. [Data File]. Access to Files at http://dx.doi.org/10.5281/zenodo.18403,Access to Files at http://dx.doi.org/10.5524/100148
Subject (RGC Codes)
E2 — Computing Science & Information Technology — 電腦科學及資訊科技
- 2211 — Information Analytics — 資訊分析
Subject (ANZSRC)
08 — INFORMATION AND COMPUTING SCIENCES — 資訊與計算科學
- 0803 — COMPUTER SOFTWARE — 電腦軟體
- 080307 — Operating Systems — 作業系統
Affiliations
- Univ Oxford, Oxford E Res Ctr, Oxford OX1 3QG, England
- GigaScience, BGI HK Res Inst, Hong Kong, Hong Kong, Peoples R China
- Univ Lancaster, InfoLab21, Lancaster LA1 4WA, England
- John Radcliffe Hosp, Nuffield Dept Med, Div Expt Med, Oxford OX3 9DU, England
- Leiden Univ, Med Ctr, Dept Human Genet, NL-2300 RC Leiden, Netherlands
- Univ Hong Kong, HKU BGI Bioinformat Algorithms & Core Technol Res, Hong Kong, Hong Kong, Peoples R China ; Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
- Chinese Univ Hong Kong, Sch Biomed Sci, Shatin, Hong Kong, Peoples R China ; Chinese Univ Hong Kong, CUHK BGI Innovat Inst Transom, Shatin, Hong Kong, Peoples R China