Evidence map›Paper›PMID 35279076›Full record

ArticleBMC genomics2022

SprayNPray: user-friendly taxonomic profiling of genome and metagenome contigs.

Arkadiy I Garber, Catherine R Armbruster, Stella E Lee, Vaughn S Cooper, Jennifer M Bomberger, Sean M McAllister

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Draft genome sequence ofMicrobiology resource announcements · 2024
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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

6 authors at 4 institutions in 1 country.

Arkadiy I GarberBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ, 85287, USA. agarber4@asu.edu.
Catherine R ArmbrusterDepartment of Microbiology and Molecular Genetics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.
Stella E LeeDepartment of Otolaryngology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA.
Vaughn S CooperDepartment of Microbiology and Molecular Genetics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.
Jennifer M BombergerDepartment of Microbiology and Molecular Genetics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15219, USA.
Sean M McAllisterPacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, WA, 98115, USA. mcallis@uw.edu.
University of Pittsburgh · USArizona State University · USNOAA Pacific Marine Environmental Laboratory · USUniversity of Pittsburgh Medical Center · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
Pittsburgh Training Grant in Pediatric Pulmonary MedicineT32HL129949 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Juan Carlos Celedon · 2016 to 2026
$2.9M
Impact of Virome on Microbial Communities in the Respiratory TractR33HL137077 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOMBERGER, JENNIFER MELINDA · 2019 to 2021
$2.2M
NCATS NIH HHS UL1 TR000005NIH HHS CFF BOMBER18G0NIH HHS CFF RDP BOMBER19R0NIH HHS R01HL12377NIH HHS R33HL137077NIH HHS T32HL129949NIH HHS U01AI124302
6 · The paper itself

Abstract

backgroundShotgun sequencing of cultured microbial isolates/individual eukaryotes (whole-genome sequencing) and microbial communities (metagenomics) has become commonplace in biology. Very often, sequenced samples encompass organisms spanning multiple domains of life, necessitating increasingly elaborate software for accurate taxonomic classification of assembled sequences.

resultsWhile many software tools for taxonomic classification exist, SprayNPray offers a quick and user-friendly, semi-automated approach, allowing users to separate contigs by taxonomy (and other metrics) of interest. Easy installation, usage, and intuitive output, which is amenable to visual inspection and/or further computational parsing, will reduce barriers for biologists beginning to analyze genomes and metagenomes. This approach can be used for broad-level overviews, preliminary analyses, or as a supplement to other taxonomic classification or binning software. SprayNPray profiles contigs using multiple metrics, including closest homologs from a user-specified reference database, gene density, read coverage, GC content, tetranucleotide frequency, and codon-usage bias.

conclusionsThe output from this software is designed to allow users to spot-check metagenome-assembled genomes, identify, and remove contigs from putative contaminants in isolate assemblies, identify bacteria in eukaryotic assemblies (and vice-versa), and identify possible horizontal gene transfer events.

Indexed as

MetagenomeMicrobiotaBacteriaMetagenomicsSoftwareBinningBioinformaticsContaminant identificationHGTHorizontal gene transferSymbiontTaxonomic classification

Identifiers

PMID35279076
PMCPMC8917688
OpenAlexW4220875767

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.