Literature DB >> 26161257

Erratum: SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Ruibang Luo1, Binghang Liu1, Yinlong Xie2, Zhenyu Li1, Weihua Huang3, Jianying Yuan3, Guangzhu He3, Yanxiang Chen3, Qi Pan3, Yunjie Liu3, Jingbo Tang3, Gengxiong Wu3, Hao Zhang3, Yujian Shi3, Yong Liu3, Chang Yu3, Bo Wang3, Yao Lu3, Changlei Han3, David W Cheung4, Siu-Ming Yiu4, Shaoliang Peng5, Zhu Xiaoqian5, Guangming Liu5, Xiangke Liao5, Yingrui Li1, Huanming Yang3, Jian Wang3, Tak-Wah Lam4, Jun Wang3.   

Abstract

[This corrects the article DOI: 10.1186/2047-217X-1-18.].

Entities:  

Year:  2015        PMID: 26161257      PMCID: PMC4496933          DOI: 10.1186/s13742-015-0069-2

Source DB:  PubMed          Journal:  Gigascience        ISSN: 2047-217X            Impact factor:   6.524


Erratum

After the publication of ‘SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. GigaScience 2012 1:18’ [1] this paper was used as case study by the ISA, Research Object and Nanopublication communities to use their data models to try to quantitatively assess the reproducibility of published research. While the supporting data and overall results were found to be accurate, a number of semantic problems were detected in a few points of interpretation, and in order to ensure the accuracy of the scientific we now outline these in this correction article. While there are huge improvements to the quality of the resulting assemblies, other than the tables it was not stressed in the text that the speed of SOAPdenovo2 can be slightly slower than SOAPdenovo v1. In the testing an assessment section (page 3), based on the correct results in table 1, where we say the scaffold N50 metric is an order of magnitude longer from SOAPdenovo2 versus SOAPdenovo1, this was actually 45 times longer. Also in the testing an assessment section, based on the correct results in table 1, where we say SOAPdenovo2 produced a contig N50 1.53 times longer than ALLPATHS-LG, this should be 2.18 times longer. Finally in this section, where we say the correct assembly length produced by SOAPdenovo2 was 3–80 fold longer than SOAPdenovo1, this should be 3–64 fold longer. To see more about how these errors were detected see the case study article [2]. To access all the supporting materials, ISA metadata and pipelines implemented in Galaxy to test these results on your own, please see the supporting entry in GigaDB [3].
  2 in total

1.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Authors:  Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiaoqian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak-Wah Lam; Jun Wang
Journal:  Gigascience       Date:  2012-12-27       Impact factor: 6.524

2.  From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics.

Authors:  Alejandra González-Beltrán; Peter Li; Jun Zhao; Maria Susana Avila-Garcia; Marco Roos; Mark Thompson; Eelke van der Horst; Rajaram Kaliyaperumal; Ruibang Luo; Tin-Lap Lee; Tak-Wah Lam; Scott C Edmunds; Susanna-Assunta Sansone; Philippe Rocca-Serra
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

  2 in total
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