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- Title
Evaluating characteristics of de novo assembly software on 454 transcriptome data: a simulation approach.
- Authors
Mundry, Marvin; Bornberg-Bauer, Erich; Sammeth, Michael; Feulner, Philine G D
- Abstract
The quantity of transcriptome data is rapidly increasing for non-model organisms. As sequencing technology advances, focus shifts towards solving bioinformatic challenges, of which sequence read assembly is the first task. Recent studies have compared the performance of different software to establish a best practice for transcriptome assembly. Here, we adapted a simulation approach to evaluate specific features of assembly programs on 454 data. The novelty of our study is that the simulation allows us to calculate a model assembly as reference point for comparison.
- Publication
PloS one, 2012, Vol 7, Issue 2, pe31410
- ISSN
1932-6203
- Publication type
Journal Article
- DOI
10.1371/journal.pone.0031410