Evidence map›Paper›PMID 30902113›Full record

ArticleMicrobiome2019

Sunbeam: an extensible pipeline for analyzing metagenomic sequencing experiments.

Erik L Clarke, Louis J Taylor, Chunyu Zhao, Andrew Connell, Jung-Jin Lee, Bryton Fett, Frederic D Bushman, Kyle Bittinger

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing 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

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

  1. Pooled it
  2. Article
  3. Early-life colonization withScience (New York, N.Y.) · 2026
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  14. IntratumoralScience advances · 2026
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  18. International journal of microbiology · 2026
    Review
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90 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.

Erik L ClarkeDepartment of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Louis J TaylorDepartment of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Chunyu ZhaoDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Andrew ConnellDepartment of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jung-Jin LeeDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Bryton FettDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Frederic D BushmanDepartment of Microbiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Kyle BittingerDivision of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. bittingerk@email.chop.edu.

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DAVID S METZGER · 1999 to 2026
$78.6M
TRAINING IN VIROLOGYT32AI007324 · NIAID · WISTAR INSTITUTE · PI Paul Bates, Matthew D. Weitzman · 1989 to 2026
$6.8M
Human Respiratory Tract Microbiome in Health, HIV Infection and HIV Lung DiseaseU01HL098957 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, COLLMAN, RONALD G · 2009 to 2013
$3.9M
Lung Transplant Microbiome and Chronic Allograft DysfunctionR01HL113252 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, CHRISTIE, JASON D · 2013 to 2016
$2.9M
The Lung DNA Virome in Health and DiseaseR61HL137063 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BUSHMAN, FREDERIC D, COLLMAN, RONALD G · 2017 to 2018
$605k
GRADS Clinical Center: Studies in Sarcoidosis and Microbiomics ResearchU01HL112712 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COLLMAN, RONALD G, ROSSMAN, MILTON DAVID · 2012 to 2014
$469k
NHLBI NIH HHS R01 HL113252NHLBI NIH HHS R61 HL137063NHLBI NIH HHS U01 HL098957NHLBI NIH HHS U01 HL112712NIAID NIH HHS P30 AI045008NIAID NIH HHS T32 AI007324
6 · The paper itself

Abstract

backgroundAnalysis of mixed microbial communities using metagenomic sequencing experiments requires multiple preprocessing and analytical steps to interpret the microbial and genetic composition of samples. Analytical steps include quality control, adapter trimming, host decontamination, metagenomic classification, read assembly, and alignment to reference genomes.

resultsWe present a modular and user-extensible pipeline called Sunbeam that performs these steps in a consistent and reproducible fashion. It can be installed in a single step, does not require administrative access to the host computer system, and can work with most cluster computing frameworks. We also introduce Komplexity, a software tool to eliminate potentially problematic, low-complexity nucleotide sequences from metagenomic data. A unique component of the Sunbeam pipeline is an easy-to-use extension framework that enables users to add custom processing or analysis steps directly to the workflow. The pipeline and its extension framework are well documented, in routine use, and regularly updated.

conclusionsSunbeam provides a foundation to build more in-depth analyses and to enable comparisons in metagenomic sequencing experiments by removing problematic, low-complexity reads and standardizing post-processing and analytical steps. Sunbeam is written in Python using the Snakemake workflow management software and is freely available at github.com/sunbeam-labs/sunbeam under the GPLv3.

Indexed as

AlgorithmsComputational BiologyData AnalysisData MiningHigh-Throughput Nucleotide SequencingHumansMetagenomicsSequence Analysis, DNASoftwarePipelineQuality controlShotgun metagenomic sequencingSoftwareSunbeam

Identifiers

PMID30902113
PMCPMC6429786

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.