지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 145 - 150 (6page)
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Recent technical advances, such as chromatin immunoprecipitation combined with DNA microarrays (ChIp-chip) and chromatin immunoprecipitation-sequencing (ChIP-seq), have generated large quantities of high-throughput data. Considering that epigenomic datasets are arranged over chromosomes, their analysis must account for spatial or temporal characteristics. In that sense, simple clustering or classification methodologies are inadequate for the analysis of multi-track ChIP-chip or ChIP-seq data. Approaches that are based on hidden Markov models (HMMs) can integrate dependencies between directly adjacent measurements in the genome. Here, we review three HMM-based studies that have contributed to epigenetic research, from a computational perspective. We also give a brief tutorial on HMM modelling-targeted at bioinformaticians who are new to the field.
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참고문헌 (29)
참고문헌 신청
박현석 / 2011 / Recent Progresses in the Linguistic Modeling of Biological Sequences Based on Formal Language Theory / Genomics & Informatics 9(1):05~11
Searls DB / 2002 / The language of genes / Nature 420:211~217
Munch K / 2006 / Automatic generation of gene finders for eukaryotic species / BMC Bioinformatics 7:263
Durbin R / 1998 / Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids / Cambridge University Press
Pachter L / 2002 / Applications of generalized pair hidden Markov models to alignment and gene finding problems / J Comput Biol 9:389~399
Searls DB / 2002 / The language of genes / Nature 420:211~217
Munch K / 2006 / Automatic generation of gene finders for eukaryotic species / BMC Bioinformatics 7:263
Durbin R / 1998 / Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids / Cambridge University Press
Pachter L / 2002 / Applications of generalized pair hidden Markov models to alignment and gene finding problems / J Comput Biol 9:389~399
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