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This article is part of the supplement: Selected articles from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013): Genomics

Open Access Proceedings

Unraveling overlapping deletions by agglomerative clustering

Roland Wittler

Author Affiliations

Genome Informatics, Faculty of Technology and Institute for Bioinformatics, Center for Biotechnology (CeBiTec), Bielefeld University, 33594 Bielefeld, Germany

BMC Genomics 2013, 14(Suppl 1):S12  doi:10.1186/1471-2164-14-S1-S12

Published: 21 January 2013

Additional files

Additional file 1:

Results of the simulation-based evaluation. Results of the simulation-based evaluation described in Section "Simulation of overlapping deletions" of the paper. The leftmost column specifies the number of simulated overlapping deletions (no deletion, single deletion, or pair of overlapping deletions) and the predictions (no deletion, single deletion, pair of overlapping deletions, or three or more overlapping deletions). The remainder of the table shows the corresponding counts per tool (agglomerative clustering, GASV [22], GASV with option "maximal", and CLEVER [37]) for four different settings (coverage 20× and 60×, and scenario A and B, cf. Figure 6).

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