Sign in
BioinformaticsBioinformatics
Peer-reviewed journal article

GenMap: Fast and Exact Computation of Genome Mappability

Christopher PockrandtiD, Mai AlzameliD, Costas S. IliopoulosiD, Knut ReinertiD

Abstract

We present a fast and exact algorithm to compute the (k, e)-mappability. Its inverse, the (k, e)-frequency counts the number of occurrences of each k-mer with up to e errors in a sequence. The algorithm we present is a magnitude faster than the algorithm in the widely used GEM suite while not relying on heuristics, and can even compute the mappability for short k-mers on highly repetitive plant genomes. We also show that mappability can be computed on multiple sequences to identify marker genes illustrated by the example of E. coli strains. GenMap allows exporting the mappability information into different formats such as raw output, wig and bed files. The application and its C++ source code is available on https://github.com/cpockrandt/genmap.

02 /Specification & Classification

Click any tag to browse matching papers
Citations
231
FWCI
6.73
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJain '18Mehrab '21Zorita '20Jain '20Filion '20Melsted '14
64% semantic matchBioinformatics
Chirag Jain, Sergey Koren, Alexander Dilthey+2 more·Bioinformatics·Jul 31, 2018· 165 citations