WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis tools | Zendy

Owen J. L. Rackham | Zendy; Πέτρος Δελλαπόρτας | Zendy; Enrico Petretto | Zendy; Leonardo Bottolo | Zendy

Open Access

WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis tools

Author(s) -

Owen J. L. Rackham,

Πέτρος Δελλαπόρτας,

Enrico Petretto,

Leonardo Bottolo

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv114

Subject(s) - benchmark (surveying) , computer science , benchmarking , dna methylation , data mining , code (set theory) , documentation , computational biology , biology , programming language , genetics , gene expression , geodesy , set (abstract data type) , marketing , business , gene , geography

As the number of studies looking at differences between DNA methylation increases, there is a growing demand to develop and benchmark statistical methods to analyse these data. To date no objective approach for the comparison of these methods has been developed and as such it remains difficult to assess which analysis tool is most appropriate for a given experiment. As a result, there is an unmet need for a DNA methylation data simulator that can accurately reproduce a wide range of experimental setups, and can be routinely used to compare the performance of different statistical models.

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