Evidence map›Paper›PMID 26560340›Full record

ArticleGenome biology and evolution2015

SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand.

Haibao Tang, Matthew D Bomhoff, Evan Briones, Liangsheng Zhang, James C Schnable, Eric Lyons

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

34 citing papers in PubMed.

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  12. Tracing the Evolution of thePlants (Basel, Switzerland) · 2022
    Article
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  14. Evolutionary history and pan-genome dynamics of strawberry (Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Origin and Fates ofInternational journal of molecular sciences · 2021
    Article
  16. Abundant expression of maternal siRNAs is a conserved feature of seed development.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Transcriptomic and Phenotypic Analysis of aFrontiers in microbiology · 2020
    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

6 authors.

Haibao TangCenter for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China School of Plant Sciences, iPlant Collaborative, University of Arizona.
Matthew D BomhoffSchool of Plant Sciences, iPlant Collaborative, University of Arizona.
Evan BrionesSchool of Plant Sciences, iPlant Collaborative, University of Arizona.
Liangsheng ZhangCenter for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China.
James C SchnableDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln.
Eric LyonsSchool of Plant Sciences, iPlant Collaborative, University of Arizona elyons.uoa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of conserved syntenic regions enables discovery of predicted locations for orthologous and homeologous genes, even when no such gene is present. This capability means that synteny-based methods are far more effective than sequence similarity-based methods in identifying true-negatives, a necessity for studying gene loss and gene transposition. However, the identification of syntenic regions requires complex analyses which must be repeated for pairwise comparisons between any two species. Therefore, as the number of published genomes increases, there is a growing demand for scalable, simple-to-use applications to perform comparative genomic analyses that cater to both gene family studies and genome-scale studies. We implemented SynFind, a web-based tool that addresses this need. Given one query genome, SynFind is capable of identifying conserved syntenic regions in any set of target genomes. SynFind is capable of reporting per-gene information, useful for researchers studying specific gene families, as well as genome-wide data sets of syntenic gene and predicted gene locations, critical for researchers focused on large-scale genomic analyses. Inference of syntenic homologs provides the basis for correlation of functional changes around genes of interests between related organisms. Deployed on the CoGe online platform, SynFind is connected to the genomic data from over 15,000 organisms from all domains of life as well as supporting multiple releases of the same organism. SynFind makes use of a powerful job execution framework that promises scalability and reproducibility. SynFind can be accessed at http://genomevolution.org/CoGe/SynFind.pl. A video tutorial of SynFind using Phytophthrora as an example is available at http://www.youtube.com/watch?v=2Agczny9Nyc.

Indexed as

GenomeSoftwareSyntenySequence Analysis, DNAcyberinfrastructuregenome evolutionhomologysynteny

Identifiers

PMID26560340
PMCPMC4700967

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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.