Evidence map›Paper›PMID 26153515›Full record

ArticleBioinformatics (Oxford, England)2015

LayerCake: a tool for the visual comparison of viral deep sequencing data.

Michael Correll, Adam L Bailey, Alper Sarikaya, David H O'Connor, Michael Gleicher

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 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. 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

5 authors.

Michael CorrellDepartment of Computer Sciences and.
Adam L BaileyDepartment of Pathology and Laboratory Medicine, University of Wisconsin, Madison, Madison, WI 53706, USA.
Alper SarikayaDepartment of Computer Sciences and.
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin, Madison, Madison, WI 53706, USA.
Michael GleicherDepartment of Computer Sciences and.

Funding

INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Adoptive transfer of immunity elicited by attenuated HIV vaccinesR01AI077376 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI O'CONNOR, DAVID H. · 2008 to 2015
$5.4M
Graduate Training In Cellular And Molecular Pathogenesis Of Human DiseasesT32GM081061 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FABRY, ZSUZSANNA · 2010 to 2019
$1.8M
NIAID NIH HHS R01 AI077376NIGMS NIH HHS T32 GM008692NIGMS NIH HHS T32 GM081061
6 · The paper itself

Abstract

motivationThe advent of next-generation sequencing (NGS) has created unprecedented opportunities to examine viral populations within individual hosts, among infected individuals and over time. Comparing sequence variability across viral genomes allows for the construction of complex population structures, the analysis of which can yield powerful biological insights. However, the simultaneous display of sequence variation, coverage depth and quality scores across thousands of bases presents a unique visualization challenge that has not been fully met by current NGS analysis tools.

resultsHere, we present LayerCake, a self-contained visualization tool that allows for the rapid analysis of variation in viral NGS data. LayerCake enables the user to simultaneously visualize variations in multiple viral populations across entire genomes within a highly customizable framework, drawing attention to pertinent and interesting patterns of variation. We have successfully deployed LayerCake to assist with a variety of different genomics datasets. AVAILABILITY AND IMPLEMENTATION: Program downloads and detailed instructions are available at http://graphics.cs.wisc.edu/WP/layercake under a modified MIT license. LayerCake is a cross-platform tool written in the Processing framework for Java. CONTACT: mcorrell@cs.wisc.edu.

Indexed as

Genetic VariationGenome, ViralHigh-Throughput Nucleotide SequencingComputer GraphicsGenomicsSoftware

Identifiers

PMID26153515
PMCPMC4626748

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.