Evidence map›Paper›PMID 26617984›Full record

ReviewGigaScience2015

Image processing for optical mapping.

Prabu Ravindran, Aditya Gupta

Abstract readReview
In one paragraph

Review in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
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

2 authors.

Prabu RavindranLaboratory of Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin, 425 Henry Mall, Madison, USA.
Aditya GuptaLaboratory of Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin, 425 Henry Mall, Madison, USA.

Funding

NEW PHYSICAL METHODOLOGIES FOR GENOMIC ANALYSISR01HG000225 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI SCHWARTZ, DAVID C. · 1991 to 2014
$5.2M
NHGRI NIH HHS R01 HG000225NHGRI NIH HHS R01HG000225
6 · The paper itself

Abstract

Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which extracts single molecule restriction maps from image datasets of immobilized, restriction digested and fluorescently stained large DNA molecules. In this review, we describe robust and efficient image processing techniques to process these massive datasets and extract accurate restriction maps in the presence of noise, ambiguity and confounding artifacts. We also highlight a few applications of the Optical Mapping system.

Indexed as

GenomeAnimalsChromosome MappingHumansImage Processing, Computer-AssistedSensitivity and SpecificityGroupingImage processingIntegrated fluorescence intensityOptical mappingShortest pathSkeletonizationTiling

Identifiers

PMID26617984
PMCPMC4662010

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.