Evidence map›Paper›PMID 27054987›Full record

ArticleNature biotechnology2016

Compressive mapping for next-generation sequencing.

Deniz Yorukoglu, Yun William Yu, Jian Peng, Bonnie Berger

Abstract readLetter
In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  7. Review
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  9. Article
  10. Review
  11. Article
  12. Seq: A High-Performance Language for Bioinformatics.Proceedings of the ACM on programming languages · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  19. Need for speed in accurate whole-genome data analysis: GENALICE MAP challenges BWA/GATK more than PEMapper/PECaller and Isaac.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  20. Article
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.

Deniz YorukogluComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Yun William YuComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID http://orcid.org/0000-0002-8275-9576
Jian PengComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Bonnie BergerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Compressive genomics for large omics data sets: Algorithms applications & toolsR01GM108348 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2013 to 2019
$2.1M
Howard Hughes Medical InstituteNIGMS NIH HHS GM108348NIGMS NIH HHS R01 GM108348
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

SoftwareAnimalsChromosome MappingComputational BiologyHigh-Throughput Nucleotide SequencingHumansMiceSequence AlignmentSequence Analysis, DNA

Identifiers

PMID27054987
PMCPMC5080835

What OpenQuestion holds

Textmetadata
LicenceTDM
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.