Evidence map›Paper›PMID 30320765›Full record

ArticleNature biotechnology2018

High-quality genome sequences of uncultured microbes by assembly of read clouds.

Alex Bishara, Eli L Moss, Mikhail Kolmogorov, Alma E Parada, Ziming Weng, Arend Sidow, Anne E Dekas, Serafim Batzoglou, Ami S Bhatt

Abstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
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  4. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
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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

9 authors.

Alex BisharaDepartment of Computer Science, Stanford University, Stanford, California, USA.
Eli L MossDepartment of Medicine (Hematology, Blood and Marrow Transplantation) and Department of Genetics, Stanford University, Stanford, California, USA.
Mikhail KolmogorovDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA.ORCID http://orcid.org/0000-0002-5489-9045
Alma E ParadaDepartment of Earth System Science, Stanford University, Stanford, California, USA.
Ziming WengDepartment of Pathology, Stanford University School of Medicine, Stanford, California, USA.
Arend SidowDepartment of Medicine (Hematology, Blood and Marrow Transplantation) and Department of Genetics, Stanford University, Stanford, California, USA.ORCID http://orcid.org/0000-0002-8287-331X
Anne E DekasDepartment of Earth System Science, Stanford University, Stanford, California, USA.
Serafim BatzoglouDepartment of Computer Science, Stanford University, Stanford, California, USA.
Ami S BhattDepartment of Medicine (Hematology, Blood and Marrow Transplantation) and Department of Genetics, Stanford University, Stanford, California, USA.ORCID http://orcid.org/0000-0001-8099-2975

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Computational appliance: a supercomputer for modern biomedical researchS10OD023452 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2017 to 2017
$600k
Sequence-based pathogen discovery in post-stem cell transplantation syndromesK08CA184420 · NCI · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2014 to 2017
$524k
NCI NIH HHS K08 CA184420NCI NIH HHS P30 CA124435NHGRI NIH HHS T32 HG000044
6 · The paper itself

Abstract

Although shotgun metagenomic sequencing of microbiome samples enables partial reconstruction of strain-level community structure, obtaining high-quality microbial genome drafts without isolation and culture remains difficult. Here, we present an application of read clouds, short-read sequences tagged with long-range information, to microbiome samples. We present Athena, a de novo assembler that uses read clouds to improve metagenomic assemblies. We applied this approach to sequence stool samples from two healthy individuals and compared it with existing short-read and synthetic long-read metagenomic sequencing techniques. Read-cloud metagenomic sequencing and Athena assembly produced the most comprehensive individual genome drafts with high contiguity (>200-kb N50, fewer than ten contigs), even for bacteria with relatively low (20×) raw short-read-sequence coverage. We also sequenced a complex marine-sediment sample and generated 24 intermediate-quality genome drafts (>70% complete, <10% contaminated), nine of which were complete (>90% complete, <5% contaminated). Our approach allows for culture-free generation of high-quality microbial genome drafts by using a single shotgun experiment.

Identifiers

PMID30320765
PMCPMC6465186

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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.