Evidence map›Paper›PMID 28337071›Full record

ReviewJournal of biomolecular techniques : JBT2017

International Standards for Genomes, Transcriptomes, and Metagenomes.

Christopher E Mason, Ebrahim Afshinnekoo, Scott Tighe, Shixiu Wu, Shawn Levy

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of biomolecular techniques : JBT, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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4 · The record

Corrections and comments

  • Erratum issued
    2017
5 · Who and what money

Authors and funding

5 authors.

Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA;; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10065, USA;; Feil Family Brain & Mind Research Institute, Weill Cornell Medicine, New York, New York 10065, USA.
Ebrahim AfshinnekooDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA;; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10065, USA;; School of Medicine, New York Medical College, Valhalla, New York 10595, USA.
Scott TigheAdvanced Genomics Lab, University of Vermont Cancer Center, Burlington, Vermont 05405, USA.
Shixiu WuHangzhou Cancer Institute in Hangzhou Cancer Hospital, Hangzhou, China; and.
Shawn LevyHudsonAlpha Institute of Technology, Huntsville, Alabama 35806, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Challenges and biases in preparing, characterizing, and sequencing DNA and RNA can have significant impacts on research in genomics across all kingdoms of life, including experiments in single-cells, RNA profiling, and metagenomics (across multiple genomes). Technical artifacts and contamination can arise at each point of sample manipulation, extraction, sequencing, and analysis. Thus, the measurement and benchmarking of these potential sources of error are of paramount importance as next-generation sequencing (NGS) projects become more global and ubiquitous. Fortunately, a variety of methods, standards, and technologies have recently emerged that improve measurements in genomics and sequencing, from the initial input material to the computational pipelines that process and annotate the data. Here we review current standards and their applications in genomics, including whole genomes, transcriptomes, mixed genomic samples (metagenomes), and the modified bases within each (epigenomes and epitranscriptomes). These standards, tools, and metrics are critical for quantifying the accuracy of NGS methods, which will be essential for robust approaches in clinical genomics and precision medicine.

Indexed as

AnimalsDNAGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansMetagenomeReference StandardsSequence Analysis, DNASoftwareTranscriptomeDNAepigenomicsepitranscriptomicsgenomicsmetagenomicstranscriptomics

Identifiers

PMID28337071
PMCPMC5359768

What OpenQuestion holds

Textmetadata
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.