ArrayCyGHt: a web application for analysis and visualization of array-CGH data | Zendy

S. Y. Kim | Zendy; S.W. Nam | Zendy; S. H. Lee | Zendy; W S Park | Zendy; Nam Jin Yoo | Zendy; Jae-Yeong Lee | Zendy; YeunJun Chung | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

S. Y. Kim,

S.W. Nam,

S. H. Lee,

W S Park,

Nam Jin Yoo,

Jae-Yeong Lee,

YeunJun Chung

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti357

Subject(s) - computer science , visualization , web application , data mining , computational biology , world wide web , biology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research