Literature DB >> 12424110

ARROGANT: an application to manipulate large gene collections.

Amit V Kulkarni1, Noelle Sevilir Williams, Yun Lian, Jonathan D Wren, David Mittelman, Alexander Pertsemlidis, Harold R Garner.   

Abstract

ARROGANT (ARRay OrGANizing Tool) is a software tool developed to facilitate the identification, annotation and comparison of large collections of genes or clones. The objective is to enable users to compile gene/clone collections from different databases, allowing them to design experiments and analyze the collections as well as associated experimental data efficiently. ARROGANT can relate different sequence identifiers to their common reference sequence using the UniGene database, allowing for the comparison of data from two different microarray experiments. ARROGANT has been successfully used to analyze microarray expression data for colon cancer, to compile genes potentially related to cardiac diseases for subsequent resequencing (to identify single nucleotide polymorphisms, SNPs), to design a new comprehensive human cDNA microarray for cancer, to combine and compare expression data generated by different microarrays and to provide annotation for genes on custom and Affymetrix chips.

Entities:  

Mesh:

Year:  2002        PMID: 12424110     DOI: 10.1093/bioinformatics/18.11.1410

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


  3 in total

1.  KARMA: a web server application for comparing and annotating heterogeneous microarray platforms.

Authors:  Kei-Hoi Cheung; Janet Hager; Deyun Pan; Ranjana Srivastava; Shrikant Mane; Yuli Li; Perry Miller; Kenneth R Williams
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  CROPPER: a metagene creator resource for cross-platform and cross-species compendium studies.

Authors:  Jussi Paananen; Markus Storvik; Garry Wong
Journal:  BMC Bioinformatics       Date:  2006-09-22       Impact factor: 3.169

3.  Cross-platform comparison and visualisation of gene expression data using co-inertia analysis.

Authors:  Aedín C Culhane; Guy Perrière; Desmond G Higgins
Journal:  BMC Bioinformatics       Date:  2003-11-21       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.