查看“DNA@home”的源代码

{{Infobox Project
| name =DNA@home
| logo =LOGO 未发布
| screenshot =
| caption =无屏幕保护图形
| developer =Rensselaer Polytechnic Institute
| released =规划中
| operating system =[[Image:Windows.png]][[Image:Macos.png]]
| platform =[[BOINC]]
| program info =规划中
| work unit info =规划中
| status =规划中
| genre =规划中
| optimization =无
| website =http://dnahome.cs.rpi.edu/dna/
}}
[[DNA@home]] 是由美国伦斯勒理工学院主办的基于 [[BOINC]] 平台分布式计算项目，项目试图寻找人类基因规律。

目前项目正在规划中。

{{JoinBoincProject
|Project=DNA@home
|URL=http://dnahome.cs.rpi.edu/dna/
}}

== 项目简介 ==

The goal of DNA@Home is to discover what regulates the genes in DNA. Ever notice that skin cells are different from a muscle cells, which are different from a bone cells, even though every cell in your body has every gene in your genome? That's because not all genes are "on" all the time. Depending on the cell type and what the cell is trying to do at any given moment, only a subset of the genes are used, and the remainder are shut off. DNA@home uses statistical algorithms to unlock the key to this differential regulation, using your volunteered computers.

The primary means by which genes are regulated is at the stage of "transcription" where a molecule called a polymerase reads along the DNA from the start of the gene to the end of the gene creating an RNA messenger. Other molecules, called transcription factors, bind to the DNA near the beginning of the gene and can help to recruit the polymerase or they can get in the way of, or inhibit, the polymerase. It is the presence or absence of the binding of these transcription factors that determine whether a gene is "on" or "off" but, for the most part, scientists do not know which transcription factors are responsible for regulating which genes.

Transcription factors have "fingers" that prefer a certain short, sloppy pattern in the nucleotides "letters" of a DNA sequence, but in many cases we don't know what these patterns are. Our software looks for short sequences of nucleotides that appear more-or-less the same near multiple gene beginnings and which also appear more-or-less the same in the corresponding locations in the genomes of related species. As DNA sequences are huge, ranging from millions to billions of nucleotides, and these sequences are short and only approximately conserved from one site to the next, this is a real needle-in-the-haystack problem and requires lots of computational power. We hope that your computers can help.

Our current plans involve tackling the Mycobacterium tuberculosis genome to thoroughly understand how tuberculosis accomplishes what it does -- so that others can use that information to stop this disease that kills millions every year. We also plan to tackle Yersinia pestis, the cause of bubonic plague.

DNA@Home is based at [http://www.rpi.edu/ Rensselaer Polytechnic Institute].

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{{BOINC topics}}

[[Category:分布式计算项目]][[Category:BOINC 平台上的项目]][[Category:待翻译]]