Literature DB >> 17032677

ChromoScan: a scan statistic application for identifying chromosomal regions in genomic studies.

Yan V Sun1, Douglas M Jacobsen, Sharon L R Kardia.   

Abstract

UNLABELLED: ChromoScan is an implementation of a genome-based scan statistic that detects genomic regions, which are statistically significant for targeted measurements, such as genetic associations with disease, gene expression profiles, DNA copy number variations, as well as other genome-based measurements. A Java graphic user interface (GUI) is provided to allow users to select appropriate data transformations and thresholds for defining the significant events. AVAILABILITY: ChromoScan is freely available from http://www.epidkardia.sph.umich.edu/software/chromoscan/

Mesh：

Year:  2006        PMID： 17032677     DOI： 10.1093/bioinformatics/btl503

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  5 in total

1.  Dynamic Scan Procedure for Detecting Rare-Variant Association Regions in Whole-Genome Sequencing Studies.

Authors:  Zilin Li; Xihao Li; Yaowu Liu; Jincheng Shen; Han Chen; Hufeng Zhou; Alanna C Morrison; Eric Boerwinkle; Xihong Lin
Journal:  Am J Hum Genet       Date:  2019-04-12       Impact factor: 11.025

2.  A Fast Implementation of a Scan Statistic for Identifying Chromosomal Patterns of Genome Wide Association Studies.

Authors:  Yan V Sun; Douglas M Jacobsen; Stephen T Turner; Eric Boerwinkle; Sharon L R Kardia
Journal:  Comput Stat Data Anal       Date:  2009-03-15       Impact factor: 1.681

3.  Identifying Loci Under Positive Selection in Yellow Korean Cattle (Hanwoo).

Authors:  Yi Li; Yun-Mi Lee; You-Sam Kim; Se-Pil Park; Jong-Joo Kim
Journal:  Evol Bioinform Online       Date:  2019-06-27       Impact factor: 1.625

4.  Analyzes of genome-wide association follow-up study for calving traits in dairy cattle.

Authors:  Johanna K Höglund; Bernt Guldbrandtsen; Mogens S Lund; Goutam Sahana
Journal:  BMC Genet       Date:  2012-08-14       Impact factor: 2.797

5.  A whole genome association study to detect additive and dominant single nucleotide polymorphisms for growth and carcass traits in Korean native cattle, Hanwoo.

Authors:  Yi Li; Yuxuan Gao; You-Sam Kim; Asif Iqbal; Jong-Joo Kim
Journal:  Asian-Australas J Anim Sci       Date:  2016-05-22       Impact factor: 2.509
  5 in total

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