Evidence map›Paper›PMID 21899761›Full record

ArticleBMC genomics2011

WebMGA: a customizable web server for fast metagenomic sequence analysis.

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

Abstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 355 papers.

0numbers the graph read from it
0cells of the map it votes in
355citing 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

355 citing papers in PubMed.

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  12. Discovery and Transcriptional Profiling ofJournal of fungi (Basel, Switzerland) · 2024
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  20. Characterization of a Potential ProbioticJournal of microbiology and biotechnology · 2023
    Article

295 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.

Sitao WuCenter for Research in Biological Systems, University of California San Diego, La Jolla, California 92093, USA.
Zhengwei Zhu
Liming Fu
Beifang Niu
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

backgroundThe new field of metagenomics studies microorganism communities by culture-independent sequencing. With the advances in next-generation sequencing techniques, researchers are facing tremendous challenges in metagenomic data analysis due to huge quantity and high complexity of sequence data. Analyzing large datasets is extremely time-consuming; also metagenomic annotation involves a wide range of computational tools, which are difficult to be installed and maintained by common users. The tools provided by the few available web servers are also limited and have various constraints such as login requirement, long waiting time, inability to configure pipelines etc.

resultsWe developed WebMGA, a customizable web server for fast metagenomic analysis. WebMGA includes over 20 commonly used tools such as ORF calling, sequence clustering, quality control of raw reads, removal of sequencing artifacts and contaminations, taxonomic analysis, functional annotation etc. WebMGA provides users with rapid metagenomic data analysis using fast and effective tools, which have been implemented to run in parallel on our local computer cluster. Users can access WebMGA through web browsers or programming scripts to perform individual analysis or to configure and run customized pipelines. WebMGA is freely available at http://weizhongli-lab.org/metagenomic-analysis.

conclusionsWebMGA offers to researchers many fast and unique tools and great flexibility for complex metagenomic data analysis.

Indexed as

InternetMetagenomicsSoftwareCluster AnalysisComputational BiologySequence Analysis, DNA

Identifiers

PMID21899761
PMCPMC3180703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.