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Sounkou Kim

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<p>&nbsp; As shown in both examples, bioprogramming does not mean by the original programming language only for bioinformatics, but the use of existing general programming language such as Java<a href="http://www.ijcse.com/docs/INDJCSE11-02-06-087.pdf">[3]</a>&nbsp; or R<a href="http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf">[4]</a>&nbsp;specially for bioinformatics. There is &nbsp;even bioinformatics-specialized OS, <a href="http://environmentalomics.org/bio-linux/">Bio-Linux</a>, the Linux distribution&nbsp;with pakages of bioinformatics tools in OS level.</p>
<h2>Genomics</h2>
<p>&nbsp; Genomics is a study on sequencing, analysing, or modifying genome, the complete set of DNA within an organism. Based on development in sequencing technology and followed completion of genome sequencing, the &quot;omics&quot; reolution - the study on 'total' thing about the subject &nbsp;- had begun. By dealing with functions of gene, structures of translated protein, modifying and recovering genes, genomics can be applied in development of genomic medicine or synthetic biology.</p>
<h2>Transcriptomics</h2>
<p>&nbsp; Transcriptome is the set of all transcripted materials, such as mRNA, rRNA, tRNA and other non-coding RNA. Just like genomics study all about genome, transcriptomics study all about transcriptome. Old <a href="http://en.wikipedia.org/wiki/DNA_microarray">DNA microarray</a>&nbsp;and new <a href="http://en.wikipedia.org/wiki/RNA-Seq">RNA-Seq</a> are mainly used technologies for transcriptomics. Along the flow of genomic information transfer, transcriptomics can refer genomics or can be referred by proteomics.</p>
<ul>
<li>RNA-Seq</li>
</ul>
<p style="margin-left: 40px;">Also called Whole Transcriptome Shotgun Sequencing (WTSS). To reveal a snapshot of RNA presence and quantity from a genome for given time interval, uses <a href="http://en.wikipedia.org/wiki/DNA_sequencing#Next-generation_methods">next-generation sequencing</a> thechnology. Analyses gene expression, single nucleotide variation discovery, post-transcriptional single nucleotide variants, fusion gene detection, or coexpression network. Enables study of transcriptomics for providing or modifying the sample.</p>
<h2>Proteomics</h2>
<p><a href="http://fold.it/portal/">http://fold.it/portal/</a></p>
<p><a href="http://www.nature.com/nbt/journal/v30/n2/full/nbt.2109.html">http://www.nature.com/nbt/journal/v30/n2/full/nbt.2109.html</a></p>
<p><a href="https://www.youtube.com/watch?v=bo99JjnfdA8">https://www.youtube.com/watch?v=bo99JjnfdA8</a></p>
<h2>Epigenomics and Phenomics</h2>
<h2>Canceromics and Geromics</h2>
<p>&nbsp;</p>
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