Welcome to AtCAST
AtCAST is a web-based tool for analysis of transcriptome data and comparison of profiles with publicly available transcriptome data. AtCAST facilitates discovery of stimuli that induce similar gene expression responses and, therefore, are involved in similar biological processes. For example, one can search for experimental results demonstrating transcriptional changes that are similar or the opposite of those of a specific mutant in public transcriptome data.
What's new (3.1)
Speed up of calculation, 10 times faster than previous version.
New feature: Search experimental conditions, in which your favorite genes are differentially expressed.
New statistics page with refined annotation of genes, MA plot.
Input of Excel file (.xls and .xlsx) is supported.
User analyses run on a job queueing system to prevent overflow.
414 Microarray and 93 RNA-seq experiments are newly included, and 116 low-quality data are excluded.
What's new (3.00)
More than 7000 microarray data were newly included.
Gene Ontology term Enrichment (GOE) analysis is introduced to show the characteristics of the genes in a selected experiment.
AtCAST3.0 supports "AG" (8k array), "ATH1" (23k array) and "Arabisopsis gene 1.1 ST array" (28k array) .
Other microarray data can be input using AGI code.
Input of RNA-seq data is supported.
These new features will facilitate analysis of associations between data obtained using different platforms.
>Analyze Public data
>Analyze your data
Click to show the name of each nodes.
Windows IE9~, Safari 5.1~, Firefox 17.0~, Chrome
Mac OS X Safari 5.1~, Firefox 17.0~, Chrome
Kakei Y and Shimada Y. (2015) AtCAST3.0 Update: A Web-Based Tool for Analysis of Transcriptome Data by Searching Similarities in Gene Expression Profiles., Plant Cell Physiol., 56 (1): e7.
Contact : atpbsmd*yokohama-cu.ac.jp
AtCAST -+-+- Version 3.1
( When you send E-mail please change * to @ )
Copyright © 2018 YCU KIHARA Institute for Biological Research Plant Biotechnology Division All Rights Reserved.