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Using Hidden Markov Models to Model Multiple Transcription Factor Binding
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ekeberg, Örjan Lansner, Anders |
| Copyright Year | 2006 |
| Abstract | Transcription is a cellular process leading to protein synthesis. The process is activated through the binding of proteins to specific sequences of the DNA strand. These proteins are referred to as transcription factors, and their DNA binding sites are called motifs. Computational techniques are used to predict and study such motifs. The two transcription factors Oct4 and Sox9 are known to be co-regulated. Prior research investigate the motifs of these two proteins, giving a distance between them. This report presents a hidden Markov model for modeling the co-regulation of motifs. A specific model for Oct4/Sox9 is developed and evaluated, confirming previous results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.nada.kth.se/utbildning/grukth/exjobb/rapportlistor/2006/rapporter06/pass_estherlou_06170.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
