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Systems biology of the Neurospora biological clock
- Source :
- IET Systems Biology. 1:257-265
- Publication Year :
- 2007
- Publisher :
- Institution of Engineering and Technology (IET), 2007.
-
Abstract
- A major challenge of systems biology is explaining complex traits, such as the biological clock, in terms of the kinetics of macromolecules. The clock poses at least four challenges for systems biology: (i) identifying the genetic network to explain the clock mechanism quantitatively; (ii) specifying the clock's functional connection to a thousand or more genes and their products in the genome; (iii) explaining the clock's response to light and other environmental cues; and (iv) explaining how the clock's genetic network evolves. Here, the authors illustrate an approach to these problems by fitting an ensemble of genetic networks to microarray data derived from oligonucleotide arrays with approximately all 11 000 Neurospora crassa genes represented. A promising genetic network for the clock mechanism is identified.
- Subjects :
- Systems biology
Computational biology
Models, Biological
Genome
Neurospora
Neurospora crassa
Fungal Proteins
Biological Clocks
Genetics
Computer Simulation
Molecular Biology
Gene
Oligonucleotide Array Sequence Analysis
Fungal protein
biology
Mechanism (biology)
Microarray analysis techniques
Systems Biology
Cell Biology
biology.organism_classification
Circadian Rhythm
Gene Expression Regulation
Modeling and Simulation
ComputingMethodologies_GENERAL
Signal Transduction
Transcription Factors
Biotechnology
Subjects
Details
- ISSN :
- 17518857 and 17518849
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- IET Systems Biology
- Accession number :
- edsair.doi.dedup.....5b700e79c6a43066d083b8c8e747ab86