Evidence map›Paper›PMID 23471301›Full record

ArticleBioinformatics (Oxford, England)2013

MitoSeek: extracting mitochondria information and performing high-throughput mitochondria sequencing analysis.

Yan Guo, Jiang Li, Chung-I Li, Yu Shyr, David C Samuels

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  6. Article
  7. Mitochondrial DNA variation and cancer.Nature reviews. Cancer · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Unraveling heteroplasmy patterns with NOVOPlasty.NAR genomics and bioinformatics · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. eKLIPse: a sensitive tool for the detection and quantification of mitochondrial DNA deletions from next-generation sequencing data.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  16. Article
  17. Article
  18. Article
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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.

Yan GuoCenter for Quantitative Sciences, Vanderbilt University, Nashville, TN 37232, USA. yan.guo@vanderbilt.edu
Jiang Li
Chung-I Li
Yu Shyr
David C Samuels

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
NCI NIH HHS P30 CA068485
6 · The paper itself

Abstract

motivationExome capture kits have capture efficiencies that range from 40 to 60%. A significant amount of off-target reads are from the mitochondrial genome. These unintentionally sequenced mitochondrial reads provide unique opportunities to study the mitochondria genome.

resultsMitoSeek is an open-source software tool that can reliably and easily extract mitochondrial genome information from exome and whole genome sequencing data. MitoSeek evaluates mitochondrial genome alignment quality, estimates relative mitochondrial copy numbers and detects heteroplasmy, somatic mutation and structural variants of the mitochondrial genome. MitoSeek can be set up to run in parallel or serial on large exome sequencing datasets. AVAILABILITY: https://github.com/riverlee/MitoSeek

Indexed as

Genome, MitochondrialSoftwareChromosome MappingData MiningDNA, MitochondrialExomeHigh-Throughput Nucleotide SequencingSequence AlignmentSequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID23471301
PMCPMC4492415

What OpenQuestion holds

Textmetadata
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.