Evidence map›Paper›PMID 28245230›Full record

ArticlePloS one2017

The impact of RNA secondary structure on read start locations on the Illumina sequencing platform.

Adam Price, Jaishree Garhyan, Cynthia Gibas

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

3 authors.

Adam PriceDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, United States of America.
Jaishree GarhyanJawaharlal Nehru University, New Delhi, India.
Cynthia GibasDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, United States of America.ORCID http://orcid.org/0000-0002-1288-9543

Funding

Biophysical Optimization of Oligonucleotide MicroarraysR01GM072619 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI GIBAS, CYNTHIA J. · 2005 to 2009
$1.8M
NIGMS NIH HHS R01 GM072619
6 · The paper itself

Abstract

High-throughput sequencing is subject to sequence dependent bias, which must be accounted for if researchers are to make precise measurements and draw accurate conclusions from their data. A widely studied source of bias in sequencing is the GC content bias, in which levels of GC content in a genomic region effect the number of reads produced during sequencing. Although some research has been performed on methods to correct for GC bias, there has been little effort to understand the underlying mechanism. The availability of sequencing protocols that target the specific location of structure in nucleic acid molecules enables us to investigate the underlying molecular origin of observed GC bias in sequencing. By applying a parallel analysis of RNA structure (PARS) protocol to bacterial genomes of varying GC content, we are able to observe the relationship between local RNA secondary structure and sequencing outcome, and to establish RNA secondary structure as the significant contributing factor to observed GC bias.

Indexed as

Base CompositionGenome, BacterialGenomicsHigh-Throughput Nucleotide SequencingProtein Structure, SecondaryRNASequence Analysis, DNARNA

Identifiers

PMID28245230
PMCPMC5330537

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.