ARSER specifications
Information
| Unique identifier | OMICS_13327 |
|---|---|
| Name | ARSER |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | None |
| Input data | Microarray data file with a header line which records the time-points. The 1st column is probesets, other columns are expression values over time. It is assumed that the samples are linearly spaced (e.g., one point every 4 hrs, etc). |
| Output data | Analytical results |
| Operating system | Unix/Linux, Mac OS, Windows |
| Programming languages | Python, R |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Stability | Stable |
| Requirements | Scipy, Numpy, Matplotlib, Rpy2 |
| Maintained | Yes |
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Maintainer
- person_outline Zhen Su <>
Publication for ARSER
library_books
Analyzing circadian expression data by harmonic regression based on autoregressive spectral estimation.
2010 Bioinformatics
PMCID: 2881374
PMID: 20529902
DOI: 10.1093/bioinformatics/btq189
ARSER institution(s)
Division of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, China
ARSER funding source(s)
This work was supported by the Ministry of Science and Technology of China (2008AA02Z312, 2006CB100105).
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