The SRBR Education Committee has compiled a list of resources that allow students and researchers to seek answers to new questions related to biological rhythms. This includes links to open access datasets that may support student-directed research as well as data analysis tools that may help in the analysis of these data sets.
Open Access data sets
CircaDB – Circadian Gene Expression Data Base
This list contains links to tools that can be used for the analysis of biological time-series data. If you know of any others, please email us at email@example.com.
- LimoRhyde, an R package for analyzing transcriptome data from circadian systems, developed by Singer and Hughey (2019).
- RhythmicAlly, a user-friendly application for the analysis of biological time-series data, developed by Abhilash and Sheeba (2019).
- MetaCycle, an R package for detecting rhythmic signals from large scale time-series data, developed by Wu et al. (2016).
- CATkit, this website documents core techniques for analyzing circadian rhythms and describes the CAT analysis toolkit that can be used to perform these analyses. The CAT package was developed by Gierke and Cornelissen (2016).
- ActogramJ is a package based on ImageJ for analysis of chronobiological data, developed by Schmid, Helfrich-Foster, and Yoshii (2011)