ArrayCyGHt: A web application for analysis and visualization of array-CGH data

Su Young Kim; Suk Woo Nam; Sug Hyung Lee; Won Sang Park; Nam Jin Yoo; Jung Young Lee; Yeun Jun Chung

doi:10.1093/bioinformatics/bti357

ArrayCyGHt: A web application for analysis and visualization of array-CGH data

Su Young Kim
, Suk Woo Nam
, Sug Hyung Lee
, Won Sang Park
, Nam Jin Yoo
, Jung Young Lee
, Yeun Jun Chung

The Catholic University of Korea, College of Medicine

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Summary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format.

Original language	English
Pages (from-to)	2554-2555
Number of pages	2
Journal	Bioinformatics
Volume	21
Issue number	10
DOIs	https://doi.org/10.1093/bioinformatics/bti357
State	Published - 15 May 2005

Bibliographical note

Funding Information:
This work was supported by BumSuk Academic Research Fund of 2004.

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10.1093/bioinformatics/bti357

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@article{7ab8fa0253c845ee998d1f93cd450457,

title = "ArrayCyGHt: A web application for analysis and visualization of array-CGH data",

abstract = "Summary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format.",

author = "Kim, \{Su Young\} and Nam, \{Suk Woo\} and Lee, \{Sug Hyung\} and Park, \{Won Sang\} and Yoo, \{Nam Jin\} and Lee, \{Jung Young\} and Chung, \{Yeun Jun\}",

note = "Funding Information: This work was supported by BumSuk Academic Research Fund of 2004.",

year = "2005",

month = may,

day = "15",

doi = "10.1093/bioinformatics/bti357",

language = "English",

volume = "21",

pages = "2554--2555",

journal = "Bioinformatics",

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T1 - ArrayCyGHt

T2 - A web application for analysis and visualization of array-CGH data

AU - Kim, Su Young

AU - Nam, Suk Woo

AU - Lee, Sug Hyung

AU - Park, Won Sang

AU - Yoo, Nam Jin

AU - Lee, Jung Young

AU - Chung, Yeun Jun

N1 - Funding Information: This work was supported by BumSuk Academic Research Fund of 2004.

PY - 2005/5/15

Y1 - 2005/5/15

N2 - Summary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format.

AB - Summary: ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, therefore, provides an easy and fast tool for the analysis of copy number aberrations in any kinds of data format.

UR - https://www.scopus.com/pages/publications/19544370909

U2 - 10.1093/bioinformatics/bti357

DO - 10.1093/bioinformatics/bti357

M3 - Article

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AN - SCOPUS:19544370909

SN - 1367-4803

VL - 21

SP - 2554

EP - 2555

JO - Bioinformatics

JF - Bioinformatics

IS - 10

ER -

ArrayCyGHt: A web application for analysis and visualization of array-CGH data

Abstract

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