Evidence map›Paper›PMID 23060610›Full record

ArticleBioinformatics (Oxford, England)2012

CD-HIT: accelerated for clustering the next-generation sequencing data.

Limin Fu, Beifang Niu, Zhengwei Zhu, Sitao Wu, Weizhong Li

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5,737 papers.

0numbers the graph read from it
0cells of the map it votes in
5,737citing 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

5,737 citing papers in PubMed.

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5,677 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

5 authors.

Limin FuCenter for Research in Biological Systems, University of California San Diego, La Jolla, CA 92093, USA.
Beifang Niu
Zhengwei Zhu
Sitao Wu
Weizhong Li

Funding

Novel Methods for Effective Analysis Assembly and Comparison of HMP SequencesR01HG005978 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, WEIZHONG · 2010 to 2012
$1.1M
CD-HIT: A Fast Program to Cluster and Compare Large Sets of Biological SequencesR01RR025030 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, WEIZHONG · 2008 to 2010
$1.0M
NCRR NIH HHS R01 RR025030NCRR NIH HHS R01RR025030NHGRI NIH HHS R01 HG005978NHGRI NIH HHS R01HG005978
6 · The paper itself

Abstract

summaryCD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions. AVAILABILITY: http://cd-hit.org. CONTACT: liwz@sdsc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareAlgorithmsCluster AnalysisComputational BiologySequence Analysis, Protein

Identifiers

PMID23060610
PMCPMC3516142

What OpenQuestion holds

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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.