Evidence map›Paper›PMID 40271438›Full record

ArticlePeerJ. Computer science2017

Bracken: estimating species abundance in metagenomics data.

Jennifer Lu, Florian P Breitwieser, Peter Thielen, Steven L Salzberg

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,354 papers.

0numbers the graph read from it
0cells of the map it votes in
1,354citing 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

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3 · Its place in the literature

Who cites it

1,354 citing papers in PubMed.

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1,294 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.

Jennifer LuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Florian P BreitwieserCenter for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Peter ThielenApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United States.
Steven L SalzbergDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
Bioinformatics Software for Analyzing Microbial GenomesR01GM083873 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 2008 to 2017
$2.1M
NHGRI NIH HHS R01 HG006677NIGMS NIH HHS R01 GM083873
6 · The paper itself

Abstract

Metagenomic experiments attempt to characterize microbial communities using high-throughput DNA sequencing. Identification of the microorganisms in a sample provides information about the genetic profile, population structure, and role of microorganisms within an environment. Until recently, most metagenomics studies focused on high-level characterization at the level of phyla, or alternatively sequenced the 16S ribosomal RNA gene that is present in bacterial species. As the cost of sequencing has fallen, though, metagenomics experiments have increasingly used unbiased shotgun sequencing to capture all the organisms in a sample. This approach requires a method for estimating abundance directly from the raw read data. Here we describe a fast, accurate new method that computes the abundance at the species level using the reads collected in a metagenomics experiment. Bracken (Bayesian Reestimation of Abundance after Classification with KrakEN) uses the taxonomic assignments made by Kraken, a very fast read-level classifier, along with information about the genomes themselves to estimate abundance at the species level, the genus level, or above. We demonstrate that Bracken can produce accurate species- and genus-level abundance estimates even when a sample contains multiple near-identical species.

Indexed as

Bayesian estimationBioinformaticsComputational BiologyMetagenomicsMicrobiomeSpecies abundance

Identifiers

PMID40271438
PMCPMC12016282

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.