FIT: statistical modeling tool for transcriptome dynamics under fluctuating field conditions.

ABSTRACT:

Motivation

Considerable attention has been given to the quantification of environmental effects on organisms. In natural conditions, environmental factors are continuously changing in a complex manner. To reveal the effects of such environmental variations on organisms, transcriptome data in field environments have been collected and analyzed. Nagano et al. proposed a model that describes the relationship between transcriptomic variation and environmental conditions and demonstrated the capability to predict transcriptome variation in rice plants. However, the computational cost of parameter optimization has prevented its wide application.

Results

: We propose a new statistical model and efficient parameter optimization based on the previous study. We developed and released

SUBMITTER: Iwayama K 

PROVIDER: S-EPMC5447243 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature