HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis

摘要

Over the past two decades, the rapid development of molecular measurement technologies, such as microarray [ ] and RNA sequencing (RNA-Seq) [ ], have improved scalability and accuracy and reduced time and cost in measuring expression levels of all genes in a cell, which is known as transcriptome data. Analyzing transcriptome data can be very helpful in understanding complex biological mechanisms. Among many research questions, understanding how plants respond to environmental stress such as drought, salt, cold and heat is an important research problem. Then, using large-scale parallel measurement techniques, transcriptome data are measured under stress conditions to identifying stress response genes.