Evidence map›Paper›PMID 22720753›Full record

ArticleBMC bioinformatics2012

The M5nr: a novel non-redundant database containing protein sequences and annotations from multiple sources and associated tools.

Andreas Wilke, Travis Harrison, Jared Wilkening, Dawn Field, Elizabeth M Glass, Nikos Kyrpides, Konstantinos Mavrommatis, Folker Meyer

Abstract read
In one paragraph

Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing 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

156 citing papers in PubMed.

  1. Trial
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  9. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
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  13. Deciphering the microbial communities of alkaline hot spring in Panamik, Ladakh, India using a high-throughput sequencing approach.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
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  16. Article
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  18. Article
  19. Article
  20. Shotgun metagenomics dataset ofData in brief · 2023
    Article

96 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

8 authors.

Andreas WilkeMathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, USA.
Travis Harrison
Jared Wilkening
Dawn Field
Elizabeth M Glass
Nikos Kyrpides
Konstantinos Mavrommatis
Folker Meyer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputing of sequence similarity results is becoming a limiting factor in metagenome analysis. Sequence similarity search results encoded in an open, exchangeable format have the potential to limit the needs for computational reanalysis of these data sets. A prerequisite for sharing of similarity results is a common reference. DESCRIPTION: We introduce a mechanism for automatically maintaining a comprehensive, non-redundant protein database and for creating a quarterly release of this resource. In addition, we present tools for translating similarity searches into many annotation namespaces, e.g. KEGG or NCBI's GenBank.

conclusionsThe data and tools we present allow the creation of multiple result sets using a single computation, permitting computational results to be shared between groups for large sequence data sets.

Indexed as

Databases, ProteinSoftwareComputational BiologyDatabases, Nucleic AcidMetagenomicsProteinsProteins

Identifiers

PMID22720753
PMCPMC3410781

What OpenQuestion holds

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LicenceCC BY
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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.