Difference between revisions of "Il Young Cho"
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<h2>Genomics</h2> | <h2>Genomics</h2> | ||
<p>3-1 What is Genomics?</p> | <p>3-1 What is Genomics?</p> | ||
| − | <p><span lang="EN-US">Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyze the function and structure of genomes | + | <p><span lang="EN-US">Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyze the function and structure of genomes</span><span lang="EN-US"><br /> |
</span></p> | </span></p> | ||
<p><span lang="EN-US">3-2 Origin, history and future of Genomics.</span><span lang="EN-US"><br /> | <p><span lang="EN-US">3-2 Origin, history and future of Genomics.</span><span lang="EN-US"><br /> | ||
</span></p> | </span></p> | ||
| − | <p><span lang="EN-US"> In 1975 Plus and Minus technique was developed. The refinement of the Plus and Minus method resulted in the chain-termination, or Sanger method which formed the basis of the techniques of DNA sequencing, genome mapping, data storage, and bioinformatic analysis most widely used in the following quarter-century of research. In the same year, the Maxam-Gilbert method was developed which is method of DNA sequencing. In the future, there will be more effective method to sequence DNA.<o:p></o:p></span></p> | + | <p><span lang="EN-US">In 1975 Plus and Minus technique was developed. The refinement of the Plus and Minus method resulted in the chain-termination, or Sanger method which formed the basis of the techniques of DNA sequencing, genome mapping, data storage, and bioinformatic analysis most widely used in the following quarter-century of research. In the same year, the Maxam-Gilbert method was developed which is method of DNA sequencing. In the future, there will be more effective method to sequence DNA.<o:p></o:p></span><span lang="EN-US"><br /> |
| + | </span></p> | ||
| + | <p><span lang="EN-US" style="font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height: | ||
| + | 115%;font-family:"맑은 고딕";mso-ascii-theme-font:minor-latin;mso-fareast-theme-font: | ||
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| + | mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language: | ||
| + | KO;mso-bidi-language:AR-SA">3-3 Relationship with other -omics.</span><span lang="EN-US" style="font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height: | ||
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| + | mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language: | ||
| + | KO;mso-bidi-language:AR-SA"><br /> | ||
| + | </span></p> | ||
<p><span lang="EN-US" style="font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height: | <p><span lang="EN-US" style="font-size:10.0pt;mso-bidi-font-size:11.0pt;line-height: | ||
115%;font-family:"맑은 고딕";mso-ascii-theme-font:minor-latin;mso-fareast-theme-font: | 115%;font-family:"맑은 고딕";mso-ascii-theme-font:minor-latin;mso-fareast-theme-font: | ||
minor-fareast;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; | minor-fareast;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman"; | ||
mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language: | mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language: | ||
| − | KO;mso-bidi-language:AR-SA"> | + | KO;mso-bidi-language:AR-SA">The English-language neologism omics informally refers to a field of study in biology ending in -omics, such as genomics, proteomics or metabolomics. The related suffix -ome is used to address the objects of study of such fields, such as the genome, proteome or metabolome respectively. The suffix -ome as used in molecular biology refers to a totality of some sort; similarly omics has come to refer generally to the study of large, comprehensive biological data sets. I think Genomics is fundamental study to other –omics such as proteomics or metabolomics, because technique or knowledge related to genomics is used to other studies to do experiment more efficiently.</span></p> |
<h2>Transcriptomics</h2> | <h2>Transcriptomics</h2> | ||
<h2>Proteomics</h2> | <h2>Proteomics</h2> | ||
Revision as of 12:17, 15 June 2015
Principles of Bioinformatics
Bioinformatics is an interdisciplinary field of science which combines computer science, statistics, mathematics and engineering to study and process biological data.
Bioprogramming
2-1 Programming
Programming is a process that leads from an original formulation of a computing problem to executable computer programs. The purpose of programming is to find a sequence of instructions that will automate performing a specific task or solving a given problem.
2-2 Compiler
Compiler is a computer program that transforms source code written in a programming language into another computer language (binary form).
2-3 Language
There is some languages which we can use as a programming languages, such as C, R, Java, Perl and Matlab.
Genomics
3-1 What is Genomics?
Genomics is a discipline in genetics that applies recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyze the function and structure of genomes
3-2 Origin, history and future of Genomics.
In 1975 Plus and Minus technique was developed. The refinement of the Plus and Minus method resulted in the chain-termination, or Sanger method which formed the basis of the techniques of DNA sequencing, genome mapping, data storage, and bioinformatic analysis most widely used in the following quarter-century of research. In the same year, the Maxam-Gilbert method was developed which is method of DNA sequencing. In the future, there will be more effective method to sequence DNA.<o:p></o:p>
3-3 Relationship with other -omics.
The English-language neologism omics informally refers to a field of study in biology ending in -omics, such as genomics, proteomics or metabolomics. The related suffix -ome is used to address the objects of study of such fields, such as the genome, proteome or metabolome respectively. The suffix -ome as used in molecular biology refers to a totality of some sort; similarly omics has come to refer generally to the study of large, comprehensive biological data sets. I think Genomics is fundamental study to other –omics such as proteomics or metabolomics, because technique or knowledge related to genomics is used to other studies to do experiment more efficiently.
