Skip to Main content Skip to Navigation
Journal articles

Mapsembler, targeted and micro assembly of large NGS datasets on a desktop computer

Pierre Peterlongo 1, * Rayan Chikhi 1
* Corresponding author
1 GenScale - Scalable, Optimized and Parallel Algorithms for Genomics
Abstract : The analysis of next-generation sequencing data from large genomes is a timely research topic. Sequencers are producing billions of short sequence fragments from newly sequenced organisms. Computational methods for reconstructing whole genomes/transcriptomes (de novo assemblers) are typically employed to process such data. However, these methods require large memory resources and computation time. Many basic biological questions could be answered targeting specific information in the reads, thus avoiding complete assembly. We present Mapsembler, an iterative micro and targeted assembler which processes large datasets of reads on commodity hardware. Mapsembler checks for the presence of given regions of interest that can be constructed from reads and builds a short assembly around it, either as a plain sequence or as a graph, showing contextual structure. We introduce new algorithms to retrieve approximate occurrences of a sequence from reads and construct an extension graph. Among other results presented in this paper, Mapsembler enabled to retrieve previously described human breast cancer candidate fusion genes, and to detect new ones not previously known. Mapsembler is the first software that enables de novo discovery around a region of interest of repeats, SNPs, exon skipping, gene fusion, as well as other structural events, directly from raw sequencing reads. As indexing is localized, the memory footprint of Mapsembler is negligible. Mapsembler is released under the CeCILL license and can be freely downloaded from
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download
Contributor : Ed. Bmc Connect in order to contact the contributor
Submitted on : Monday, February 4, 2013 - 1:01:52 PM
Last modification on : Monday, November 22, 2021 - 1:52:23 PM
Long-term archiving on: : Sunday, May 5, 2013 - 6:00:09 AM



Pierre Peterlongo, Rayan Chikhi. Mapsembler, targeted and micro assembly of large NGS datasets on a desktop computer. BMC Bioinformatics, BioMed Central, 2012, 13 (1), pp.48. ⟨10.1186/1471-2105-13-48⟩. ⟨hal-00784408⟩



Les métriques sont temporairement indisponibles