Evidence map›Paper›PMID 25928589›Full record

ArticleBMC bioinformatics2015

ContextMap 2: fast and accurate context-based RNA-seq mapping.

Thomas Bonfert, Evelyn Kirner, Gergely Csaba, Ralf Zimmer, Caroline C Friedel

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  8. Nanopore Guided Annotation of Transcriptome Architectures.bioRxiv : the preprint server for biology · 2024
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  11. Alternative splicing analysis benchmark with DICAST.NAR genomics and bioinformatics · 2023
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  12. Article
  13. Decoding murine cytomegalovirus.PLoS pathogens · 2023
    Article
  14. Article
  15. Article
  16. Review
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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

5 authors.

Thomas BonfertInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, Munich, 80333, Germany. thomas.bonfert@bio.ifi.lmu.de.
Evelyn KirnerInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, Munich, 80333, Germany. evelyn.kirner@campus.lmu.de.
Gergely CsabaInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, Munich, 80333, Germany. gergely.csaba@bio.ifi.lmu.de.
Ralf ZimmerInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, Munich, 80333, Germany. ralf.zimmer@bio.ifi.lmu.de.
Caroline C FriedelInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstr. 17, Munich, 80333, Germany. caroline.friedel@bio.ifi.lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMapping of short sequencing reads is a crucial step in the analysis of RNA sequencing (RNA-seq) data. ContextMap is an RNA-seq mapping algorithm that uses a context-based approach to identify the best alignment for each read and allows parallel mapping against several reference genomes.

resultsIn this article, we present ContextMap 2, a new and improved version of ContextMap. Its key novel features are: (i) a plug-in structure that allows easily integrating novel short read alignment programs with improved accuracy and runtime; (ii) context-based identification of insertions and deletions (indels); (iii) mapping of reads spanning an arbitrary number of exons and indels. ContextMap 2 using Bowtie, Bowtie 2 or BWA was evaluated on both simulated and real-life data from the recently published RGASP study.

conclusionsWe show that ContextMap 2 generally combines similar or higher recall compared to other state-of-the-art approaches with significantly higher precision in read placement and junction and indel prediction. Furthermore, runtime was significantly lower than for the best competing approaches. ContextMap 2 is freely available at http://www.bio.ifi.lmu.de/ContextMap .

Indexed as

AlgorithmsGenome, HumanExonsHigh-Throughput Nucleotide SequencingHumansINDEL MutationRNA, MessengerSequence Analysis, RNATranscriptomeRNA, Messenger

Identifiers

PMID25928589
PMCPMC4411664

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.