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Benchmarking Studies

Benchmarking

Guest Editors: Olga Vitek and Mark D. Robinson

Genome Biology is currently inviting submissions for our upcoming special issue on Benchmarking Studies.

The issue, which is planned for the second half of 2019, will be guest edited by Professor Olga Vitek from Northeastern University and Professor Mark D. Robinson from University of Zurich.

Bioinformatics tools are essential for all kinds of genomic and post-genomic studies. As increasing numbers of methods are published in certain fields, it can be difficult to keep track of best practices for their use. Large scale studies that benchmark these methods on a wide range of datasets can be extremely useful to the scientific community. Genome Biology is issuing a call for papers reporting in-depth analyses of state-of-the-art computational tools on a wide range of datasets, with clear guidelines and recommendations given for the user.

The special issue will accept manuscripts presenting:

- in-depth analyses of advantages

-limitations of state-of-the-art methods

-demonstration on a variety of representative datasets and simulations

-clear guidelines/recommendations for the end-user

-insight into future directions for methods

Submission deadline: 18 May 2019

Please use the online submission system and indicate in your covering letter that you would like the manuscript to be considered for the ‘Benchmarking Studies’ special issue. If you would like to inquire about the suitability of a manuscript for consideration, please email a pre-submission inquiry to editorial@genomebiology.com.

The guest editors will have an advisory role to guide the scope of the issue and provide advice on commissioned content, but will not be involved in the editorial decision making on all papers submitted.

 

Yixin Yao
Special Issue Editor, Genome Biology

Barbara Cheifet
Chief Editor, Genome Biology

Olga Vitek

Mark D. Robinson

Guest Editors

 

  1. Content type: Review

    In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies aim to rigorously compare th...

    Authors: Lukas M. Weber, Wouter Saelens, Robrecht Cannoodt, Charlotte Soneson, Alexander Hapfelmeier, Paul P. Gardner, Anne-Laure Boulesteix, Yvan Saeys and Mark D. Robinson

    Citation: Genome Biology 2019 20:125

    Published on:

  2. Content type: Research

    In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate co...

    Authors: Keegan Korthauer, Patrick K. Kimes, Claire Duvallet, Alejandro Reyes, Ayshwarya Subramanian, Mingxiang Teng, Chinmay Shukla, Eric J. Alm and Stephanie C. Hicks

    Citation: Genome Biology 2019 20:118

    Published on:

  3. Content type: Research

    Structural variations (SVs) or copy number variations (CNVs) greatly impact the functions of the genes encoded in the genome and are responsible for diverse human diseases. Although a number of existing SV det...

    Authors: Shunichi Kosugi, Yukihide Momozawa, Xiaoxi Liu, Chikashi Terao, Michiaki Kubo and Yoichiro Kamatani

    Citation: Genome Biology 2019 20:117

    Published on: