Evidence map›Paper›PMID 30704396›Full record

ArticleBMC bioinformatics2019

GenESysV: a fast, intuitive and scalable genome exploration open source tool for variants generated from high-throughput sequencing projects.

Mohammad Zia, Paul Spurgeon, Adrian Levesque, Thomas Furlani, Jianxin Wang

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Mohammad ZiaCenter for Computational Research, University at Buffalo, Buffalo, NY, USA.
Paul SpurgeonCenter for Computational Research, University at Buffalo, Buffalo, NY, USA.
Adrian LevesqueCenter for Computational Research, University at Buffalo, Buffalo, NY, USA.
Thomas FurlaniCenter for Computational Research, University at Buffalo, Buffalo, NY, USA.
Jianxin WangCenter for Computational Research, University at Buffalo, Buffalo, NY, USA. jw24@buffalo.edu.ORCID http://orcid.org/0000-0002-0998-4996
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh throughput sequencing technologies have been increasingly used in basic genetic research as well as in clinical applications. More and more variants underlying Mendelian and complex diseases are being discovered and documented using these technologies. However, identifying and obtaining a short list of candidate disease-causing variants remains challenging for most of the users after variant calling, especially for people without computational skills.

resultsWe developed GenESysV (Genome Exploration System for Variants) as a scalable, intuitive and user-friendly open source tool. It can be used in any high throughput sequencing or genotyping project for storing, managing, prioritizing and efficient retrieval of variants of interest. GenESysV is designed for use by researchers from a wide range of disciplines and computational skills, including wet-lab scientists, clinicians, and bioinformaticians.

conclusionsGenESysV is the first tool to be able to handle genomic variant dataset ranging in size from a few to thousands of samples and still maintain fast data importation and good query performance. It has a very intuitive graphical user interface and can also be used in studies where secured data access is an important concern. We believe this tool will benefit the human disease research community to speed up discoveries for genetic variants underlying human genetic disorders.

Indexed as

SoftwareGenetic VariationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansTime FactorsAnnotationComplex diseasesGenomeGenotypingHigh-throughput sequencingMendelian diseasesVariantsVCFWESWGS

Identifiers

PMID30704396
PMCPMC6357466
OpenAlexW2915485565

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.