Genome Biology

official impact factor 6.89

Open Access

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

Jan O Korbel*, Alexej Abyzov, Xinmeng J Mu, Nicholas Carriero, Philip Cayting, Zhengdong Zhang, Michael Snyder and Mark B Gerstein

Genome Biology 2009, 10:R23 doi:10.1186/gb-2009-10-2-r23

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Proceedings   Open Access

PAIR: polymorphic Alu insertion recognition

Jón Sveinbjörnsson, Bjarni V Halldórsson BMC Bioinformatics 2012, 13(Suppl 6):S7 (19 April 2012)

Proceedings   Open Access

An improved approach for accurate and efficient calling of structural variations with low-coverage sequence data

Jin Zhang, Jiayin Wang, Yufeng Wu BMC Bioinformatics 2012, 13(Suppl 6):S6 (19 April 2012)

Proceedings   Open Access

A Hidden Markov Model for Copy Number Variant prediction from whole genome resequencing data

Yufeng Shen, Yiwei Gu, Itsik Pe’er BMC Bioinformatics 2011, 12(Suppl 6):S4 (28 July 2011)

Methodology article   Open Access Highly Accessed

Identification of genomic indels and structural variations using split reads

Zhengdong D Zhang, Jiang Du, Hugo Lam, Alex Abyzov, Alexander E Urban, Michael Snyder, Mark Gerstein BMC Genomics 2011, 12:375 (25 July 2011)

A new method for the identification of structural variations and indels based on split reads in short read sequencing allows discovery of the precise location and sequence of structural variants covering the whole size spectrum.

Methodology article   Open Access Highly Accessed

Designing deep sequencing experiments: detecting structural variation and estimating transcript abundance

Ali Bashir, Vikas Bansal, Vineet Bafna BMC Genomics 2010, 11:385 (18 June 2010)