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Computational epigenetics
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| Zeitschriftentitel: | Bioinformatics |
|---|---|
| Personen und Körperschaften: | , |
| In: | Bioinformatics, 24, 2008, 1, S. 1-10 |
| Format: | E-Article |
| Sprache: | Englisch |
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Oxford University Press (OUP)
|
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Bock, Christoph Lengauer, Thomas Bock, Christoph Lengauer, Thomas |
|---|---|
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Bock, Christoph Lengauer, Thomas |
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Bock, Christoph Lengauer, Thomas Bioinformatics Computational epigenetics Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability |
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bock, christoph |
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Bock, Christoph Lengauer, Thomas 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btm546 <jats:title>Abstract</jats:title> <jats:p>Epigenetic research aims to understand heritable gene regulation that is not directly encoded in the DNA sequence. Epigenetic mechanisms such as DNA methylation and histone modifications modulate the packaging of the DNA in the nucleus and thereby influence gene expression. Patterns of epigenetic information are faithfully propagated over multiple cell divisions, which makes epigenetic regulation a key mechanism for cellular differentiation and cell fate decisions. In addition, incomplete erasure of epigenetic information can lead to complex patterns of non-Mendelian inheritance. Stochastic and environment-induced epigenetic defects are known to play a major role in cancer and ageing, and they may also contribute to mental disorders and autoimmune diseases. Recent technical advances such as ChIP-on-chip and ChIP-seq have started to convert epigenetic research into a high-throughput endeavor, to which bioinformatics is expected to make significant contributions. Here, we review pioneering computational studies that have contributed to epigenetic research. In addition, we give a brief introduction into epigenetics—targeted at bioinformaticians who are new to the field—and we outline future challenges in computational epigenetics.</jats:p> <jats:p>Contact: cbock@mpi-inf.mpg.de</jats:p> Computational epigenetics Bioinformatics |
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Computational epigenetics |
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Computational epigenetics |
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Computational epigenetics |
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Computational epigenetics |
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Computational epigenetics |
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computational epigenetics |
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Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability |
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<jats:title>Abstract</jats:title>
<jats:p>Epigenetic research aims to understand heritable gene regulation that is not directly encoded in the DNA sequence. Epigenetic mechanisms such as DNA methylation and histone modifications modulate the packaging of the DNA in the nucleus and thereby influence gene expression. Patterns of epigenetic information are faithfully propagated over multiple cell divisions, which makes epigenetic regulation a key mechanism for cellular differentiation and cell fate decisions. In addition, incomplete erasure of epigenetic information can lead to complex patterns of non-Mendelian inheritance. Stochastic and environment-induced epigenetic defects are known to play a major role in cancer and ageing, and they may also contribute to mental disorders and autoimmune diseases. Recent technical advances such as ChIP-on-chip and ChIP-seq have started to convert epigenetic research into a high-throughput endeavor, to which bioinformatics is expected to make significant contributions. Here, we review pioneering computational studies that have contributed to epigenetic research. In addition, we give a brief introduction into epigenetics—targeted at bioinformaticians who are new to the field—and we outline future challenges in computational epigenetics.</jats:p>
<jats:p>Contact: cbock@mpi-inf.mpg.de</jats:p> |
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| description | <jats:title>Abstract</jats:title> <jats:p>Epigenetic research aims to understand heritable gene regulation that is not directly encoded in the DNA sequence. Epigenetic mechanisms such as DNA methylation and histone modifications modulate the packaging of the DNA in the nucleus and thereby influence gene expression. Patterns of epigenetic information are faithfully propagated over multiple cell divisions, which makes epigenetic regulation a key mechanism for cellular differentiation and cell fate decisions. In addition, incomplete erasure of epigenetic information can lead to complex patterns of non-Mendelian inheritance. Stochastic and environment-induced epigenetic defects are known to play a major role in cancer and ageing, and they may also contribute to mental disorders and autoimmune diseases. Recent technical advances such as ChIP-on-chip and ChIP-seq have started to convert epigenetic research into a high-throughput endeavor, to which bioinformatics is expected to make significant contributions. Here, we review pioneering computational studies that have contributed to epigenetic research. In addition, we give a brief introduction into epigenetics—targeted at bioinformaticians who are new to the field—and we outline future challenges in computational epigenetics.</jats:p> <jats:p>Contact: cbock@mpi-inf.mpg.de</jats:p> |
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| spelling | Bock, Christoph Lengauer, Thomas 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/btm546 <jats:title>Abstract</jats:title> <jats:p>Epigenetic research aims to understand heritable gene regulation that is not directly encoded in the DNA sequence. Epigenetic mechanisms such as DNA methylation and histone modifications modulate the packaging of the DNA in the nucleus and thereby influence gene expression. Patterns of epigenetic information are faithfully propagated over multiple cell divisions, which makes epigenetic regulation a key mechanism for cellular differentiation and cell fate decisions. In addition, incomplete erasure of epigenetic information can lead to complex patterns of non-Mendelian inheritance. Stochastic and environment-induced epigenetic defects are known to play a major role in cancer and ageing, and they may also contribute to mental disorders and autoimmune diseases. Recent technical advances such as ChIP-on-chip and ChIP-seq have started to convert epigenetic research into a high-throughput endeavor, to which bioinformatics is expected to make significant contributions. Here, we review pioneering computational studies that have contributed to epigenetic research. In addition, we give a brief introduction into epigenetics—targeted at bioinformaticians who are new to the field—and we outline future challenges in computational epigenetics.</jats:p> <jats:p>Contact: cbock@mpi-inf.mpg.de</jats:p> Computational epigenetics Bioinformatics |
| spellingShingle | Bock, Christoph, Lengauer, Thomas, Bioinformatics, Computational epigenetics, Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| title | Computational epigenetics |
| title_full | Computational epigenetics |
| title_fullStr | Computational epigenetics |
| title_full_unstemmed | Computational epigenetics |
| title_short | Computational epigenetics |
| title_sort | computational epigenetics |
| title_unstemmed | Computational epigenetics |
| topic | Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| url | http://dx.doi.org/10.1093/bioinformatics/btm546 |