Evidence map›Paper›PMID 22898652›Full record

ReviewNature reviews. Genetics2012

Next-generation sequencing data interpretation: enhancing reproducibility and accessibility.

Anton Nekrutenko, James Taylor

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
–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

149 citing papers in PubMed, 1 synthesis or guideline pooled it.

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89 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

2 authors.

Anton NekrutenkoHuck Institutes of the Life Sciences and the Department of Biochemistry and Molecular Biology, Penn State University, Wartik 505, University Park, Pennsylvania 16802, USA. anton@bx.psu.edul
James Taylor

Funding

Democratization of Data Analysis in Life Sciences Through GalaxyU41HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, SCHATZ, MICHAEL · 2012 to 2020
$14.4M
Dynamically scalable accessible analysis for next generation sequence dataRC2HG005542 · NHGRI · EMORY UNIVERSITY · PI NEKRUTENKO, ANTON, TAYLOR, JAMES PETER · 2009 to 2010
$1.5M
An Efficient Lightweight Environment for Biomedical ComputationR01HG004909 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON · 2009 to 2011
$1.3M
A Turnkey Solution for Next Generation Sequence Data AnalysisR21HG005133 · NHGRI · EMORY UNIVERSITY · PI TAYLOR, JAMES PETER · 2009 to 2010
$445k
NHGRI NIH HHS HG004909NHGRI NIH HHS HG005133NHGRI NIH HHS HG006620NHGRI NIH HHS U41 HG006620
6 · The paper itself

Abstract

Areas of life sciences research that were previously distant from each other in ideology, analysis practices and toolkits, such as microbial ecology and personalized medicine, have all embraced techniques that rely on next-generation sequencing instruments. Yet the capacity to generate the data greatly outpaces our ability to analyse it. Existing sequencing technologies are more mature and accessible than the methodologies that are available for individual researchers to move, store, analyse and present data in a fashion that is transparent and reproducible. Here we discuss currently pressing issues with analysis, interpretation, reproducibility and accessibility of these data, and we present promising solutions and venture into potential future developments.

Indexed as

Access to InformationBase SequenceData Interpretation, StatisticalGenetic PrivacyHigh-Throughput Nucleotide SequencingHumansMolecular Sequence DataReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID22898652

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.