Evidence map›Paper›PMID 18428782›Full record

ArticleCurrent protocols in bioinformatics2007

Using galaxy to perform large-scale interactive data analyses.

James Taylor, Ian Schenck, Dan Blankenberg, Anton Nekrutenko

Open access · greenAbstract read
In one paragraph

Article in Current protocols in bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

76 citing papers in PubMed, 146 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Single-cell technologies in reproductive immunology.American journal of reproductive immunology (New York, N.Y. : 1989) · 2019
    Review
  5. Article
  6. Article
  7. Article
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  11. Cell cycle progression in Caulobacter requires a nucleoid-associated protein with high AT sequence recognition.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Article

16 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

4 authors at 2 institutions in 1 country.

James TaylorNew York University, New York, New York, USA.
Ian Schenck
Dan Blankenberg
Anton Nekrutenko
Pennsylvania State University · USNew York University · US

Funding

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
Male Mutation Bias and Paternal Age Effect in MammalsR01GM072264 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MAKOVA, KATERYNA · 2004 to 2010
$1.2M
A Turnkey Solution for Next Generation Sequence Data AnalysisR21HG005133 · NHGRI · EMORY UNIVERSITY · PI TAYLOR, JAMES PETER · 2009 to 2010
$445k
NHGRI NIH HHS R01 HG004909NHGRI NIH HHS R21 HG005133NHGRI NIH HHS RC2 HG005542NIGMS NIH HHS R01 GM072264
6 · The paper itself

Abstract

While most experimental biologists know where to download genomic data, few have a concrete plan on how to analyze it. This situation can be corrected by: (1) providing unified portals serving genomic data and (2) building Web applications to allow flexible retrieval and on-the-fly analyses of the data. Powerful resources, such as the UCSC Genome Browser already address the first issue. The second issue, however, remains open. For example, how to find human protein-coding exons with the highest density of single nucleotide polymorphisms (SNPs) and extract orthologous sequences from all sequenced mammals? Indeed, one can access all relevant data from the UCSC Genome Browser. But once the data is downloaded how would one deal with millions of SNPs and gigabytes of alignments? Galaxy (http://g2.bx.psu.edu) is designed specifically for that purpose. It amplifies the strengths of existing resources (such as UCSC Genome Browser) by allowing the user to access and, most importantly, analyze data within a single interface in an unprecedented number of ways.

Indexed as

AlgorithmsSoftwareUser-Computer InterfaceBase SequenceChromosome MappingComputer GraphicsDNADNA Mutational AnalysisMolecular Sequence DataSequence AlignmentSequence Analysis, DNADNA

Identifiers

PMID18428782
PMCPMC3418382
OpenAlexW1518437340

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.