Evidence map›Paper›PMID 32246826›Full record

ArticleBioinformatics (Oxford, England)2020

GenMap: ultra-fast computation of genome mappability.

Christopher Pockrandt, Mai Alzamel, Costas S Iliopoulos, Knut Reinert

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

138 citing papers in PubMed, 244 citations in OpenAlex.

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  13. Census and genetic analysis of the United States marmoset population.bioRxiv : the preprint server for biology · 2026
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  20. The Japanese Archipelago sheltered cave lions, not tigers, during the Late Pleistocene.Proceedings of the National Academy of Sciences of the United States of America · 2026
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78 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 4 countries.

Christopher PockrandtCenter for Computational Biology, School of Medicine.
Mai AlzamelDepartment of Informatics, King's College London, London, UK.
Costas S IliopoulosDepartment of Informatics, King's College London, London, UK.
Knut ReinertDepartment of Computer Science and Mathematics, Freie Universität Berlin.
Johns Hopkins University · USKing Saud University · SAKing's College London · GBMax Planck Institute for Molecular Genetics · DE

Funding

Computational Methods for Microbial and Microbiome Sequence AnalysisR35GM130151 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Steven L. Salzberg · 2019 to 2026
$2.9M
NIGMS NIH HHS R35 GM130151
6 · The paper itself

Abstract

motivationComputing the uniqueness of k-mers for each position of a genome while allowing for up to e mismatches is computationally challenging. However, it is crucial for many biological applications such as the design of guide RNA for CRISPR experiments. More formally, the uniqueness or (k, e)-mappability can be described for every position as the reciprocal value of how often this k-mer occurs approximately in the genome, i.e. with up to e mismatches.

resultsWe present a fast method GenMap to compute the (k, e)-mappability. We extend the mappability algorithm, such that it can also be computed across multiple genomes where a k-mer occurrence is only counted once per genome. This allows for the computation of marker sequences or finding candidates for probe design by identifying approximate k-mers that are unique to a genome or that are present in all genomes. GenMap supports different formats such as binary output, wig and bed files as well as csv files to export the location of all approximate k-mers for each genomic position. AVAILABILITY AND IMPLEMENTATION: GenMap can be installed via bioconda. Binaries and C++ source code are available on https://github.com/cpockrandt/genmap.

Indexed as

GenomeSoftwareAlgorithmsGenomicsSequence Analysis, DNA

Identifiers

PMID32246826
PMCPMC7320602
OpenAlexW3014502522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.