HiMAP2: Identifying phylogenetically informative genetic markers from diverse genomic resources

Author:

Vernygora Oksana V.1ORCID,Congrains Carlos23ORCID,Geib Scott M.3ORCID,Dupuis Julian R.1ORCID

Affiliation:

1. Department of Entomology University of Kentucky Lexington Kentucky USA

2. College of Tropical Agriculture and Human Resources University of Hawaii at Manoa, Department of Plant and Environmental Protection Sciences, Entomology Section Honolulu Hawaii USA

3. Tropical Crop and Commodity Protection Research Unit, Daniel K. Inouye U.S. Pacific Basin Agricultural Center, USDA Agricultural Research Services Hilo Hawaii USA

Abstract

AbstractMultiplexed amplicon sequencing offers a cost‐effective and rapid solution for phylogenomic studies that include a large number of individuals. Selecting informative genetic markers is a critical initial step in designing such multiplexed amplicon panels, but screening various genomic data and selecting markers that are informative for the question at hand can be laborious. Here, we present a flexible and user‐friendly tool, HiMAP2, for identifying, visualizing and filtering phylogenetically informative loci from diverse genomic and transcriptomic resources. This bioinformatics pipeline includes orthology prediction, exon extraction and filtering of aligned exon sequences according to user‐defined specifications. Additionally, HiMAP2 facilitates exploration of the final filtered exons by incorporating phylogenetic inference of individual exon trees with raxml‐ng as well as the estimation of a species tree using astral. Finally, results of the marker selection can be visualized and refined with an interactive Bokeh application that can be used to generate publication‐quality figures. Source code and user instructions for HiMAP2 are available at https://github.com/popphylotools/HiMAP_v2.

Funder

U.S. Department of Agriculture

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3