Evidence map›Paper›PMID 24949242›Full record

ArticlePeerJ2014

FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares.

Genivaldo Gueiros Z Silva, Daniel A Cuevas, Bas E Dutilh, Robert A Edwards

Abstract read
In one paragraph

Article in PeerJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

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  20. Metagenome SNP calling via read-colored de Bruijn graphs.Bioinformatics (Oxford, England) · 2021
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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.

Genivaldo Gueiros Z SilvaComputational Science Research Center, San Diego State University , San Diego, CA , USA.
Daniel A CuevasComputational Science Research Center, San Diego State University , San Diego, CA , USA.
Bas E DutilhCentre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, GA , Nijmegen , The Netherlands ; Department of Marine Biology, Institute of Biology, Federal University of Rio de Janeiro , Brazil.
Robert A EdwardsComputational Science Research Center, San Diego State University , San Diego, CA , USA ; Department of Computer Science, San Diego State University , San Diego, CA , USA ; Department of Biology, San Diego State University , San Diego, CA , USA ; Department of Marine Biology, Institute of Biology, Federal University of Rio de Janeiro , Brazil ; Division of Mathematics and Computer Science, Argonne National Laboratory , Argonne, IL , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major goals in metagenomics is to identify the organisms present in a microbial community from unannotated shotgun sequencing reads. Taxonomic profiling has valuable applications in biological and medical research, including disease diagnostics. Most currently available approaches do not scale well with increasing data volumes, which is important because both the number and lengths of the reads provided by sequencing platforms keep increasing. Here we introduce FOCUS, an agile composition based approach using non-negative least squares (NNLS) to report the organisms present in metagenomic samples and profile their abundances. FOCUS was tested with simulated and real metagenomes, and the results show that our approach accurately predicts the organisms present in microbial communities. FOCUS was implemented in Python. The source code and web-sever are freely available at http://edwards.sdsu.edu/FOCUS.

Indexed as

k-merMetagenomesModeling

Identifiers

PMID24949242
PMCPMC4060023

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.