Evidence map›Paper›PMID 22965131›Full record

ArticleNucleic acids research2013

From next-generation sequencing alignments to accurate comparison and validation of single-nucleotide variants: the pibase software.

Michael Forster, Peter Forster, Abdou Elsharawy, Georg Hemmrich, Benjamin Kreck, Michael Wittig, Ingo Thomsen, Björn Stade, Matthias Barann, David Ellinghaus and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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  19. Cancer genome landscapes.Science (New York, N.Y.) · 2013
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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

18 authors.

Michael ForsterInstitute of Clinical Molecular Biology, Christian-Albrechts-University Kiel, D-24105 Kiel, Germany. m.forster@ikmb.uni-kiel.de
Peter Forster
Abdou Elsharawy
Georg Hemmrich
Benjamin Kreck
Michael Wittig
Ingo Thomsen
Björn Stade
Matthias Barann
David Ellinghaus
Britt-Sabina Petersen
Sandra May
Espen Melum
Markus B Schilhabel
Andreas Keller
Stefan Schreiber
Philip Rosenstiel
Andre Franke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientists working with single-nucleotide variants (SNVs), inferred by next-generation sequencing software, often need further information regarding true variants, artifacts and sequence coverage gaps. In clinical diagnostics, e.g. SNVs must usually be validated by visual inspection or several independent SNV-callers. We here demonstrate that 0.5-60% of relevant SNVs might not be detected due to coverage gaps, or might be misidentified. Even low error rates can overwhelm the true biological signal, especially in clinical diagnostics, in research comparing healthy with affected cells, in archaeogenetic dating or in forensics. For these reasons, we have developed a package called pibase, which is applicable to diploid and haploid genome, exome or targeted enrichment data. pibase extracts details on nucleotides from alignment files at user-specified coordinates and identifies reproducible genotypes, if present. In test cases pibase identifies genotypes at 99.98% specificity, 10-fold better than other tools. pibase also provides pair-wise comparisons between healthy and affected cells using nucleotide signals (10-fold more accurately than a genotype-based approach, as we show in our case study of monozygotic twins). This comparison tool also solves the problem of detecting allelic imbalance within heterozygous SNVs in copy number variation loci, or in heterogeneous tumor sequences.

Indexed as

Genetic VariationHigh-Throughput Nucleotide SequencingSequence AlignmentSequence Analysis, DNASoftwareGenomicsHumansPhylogenyReproducibility of ResultsTwins, Monozygotic

Identifiers

PMID22965131
PMCPMC3592472

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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.