Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Methodology article

BSMAP: whole genome bisulfite sequence MAPping program

Yuanxin Xi and Wei Li*

BMC Bioinformatics 2009, 10:232  doi:10.1186/1471-2105-10-232

PubMed Commons is an experimental system of commenting on PubMed abstracts, introduced in October 2013. Comments are displayed on the abstract page, but during the initial closed pilot, only registered users can read or post comments. Any researcher who is listed as an author of an article indexed by PubMed is entitled to participate in the pilot. If you would like to participate and need an invitation, please email info@biomedcentral.com, giving the PubMed ID of an article on which you are an author. For more information, see the PubMed Commons FAQ.

Not clear how method parameters affect performance

Fabien Campagne   (2011-01-25 12:57)  Weill Medical College of Cornell University

An interesting article because DNA methylation studies are now more often performed with sequencing-based method. Efficient approaches and tools are needed to map these datasets to reference genomes. I found the benchmark description to be a weak point of this manuscript. The benchmark results and methods that are presented do not really discuss or measure how the performance (measured as number of reads mapped per second per CPU core) is affected by changing the parameters of the approach (e.g., seed length) or data characteristics (e.g., read length, total reference sequence length). I think these parameters are likely to impact overall performance so it would have been nice to see this discussed. It would be nice if the authors could comment about the impact of these parameters on performance (perhaps on their web-site?)

Competing interests

None declared

top

Post a comment