Computational modelling of genetic processes

计算机科学和遗传学之间有许多相似之处。 两者的结构都以长序列的形式存储信息，有时以0和1的形式，或者可能是DNA。 在这两个领域中，我们通过不同的媒介（如电子电路或蛋白质）对这些序列进行操作。 我们现在拥有越来越多的基因信息。 考虑到一个人的基因组长度超过30亿个核苷酸。 我们必须在大量的数据中找到有趣的模式，以便了解甚至是细胞的内部工作。 计算机科学允许一种自然的方式来研究这些模式，基于其与生物结构的相似性及其快速处理大量信息的能力。 通过在这两个领域之间建立新的联系，我们可以使用计算机科学的方法来研究生物学中的同源过程。 此外，我们可以通过生物学的伪装来发现新的计算方法。 例如，stichotrichous纤毛虫，一组单细胞生物，对它们的DNA进行解扰过程，以创造能够产生蛋白质的基因。 字符串的解扰是计算机科学中研究和理解的一种机制。 通过在计算方面模拟这一过程，我们可以创建用于研究纤毛虫基因组数据的算法。 此外，我们可以尝试理解在小区中用于解扰的确切方式和机制。 与此同时，这为我们提供了一种在自然界中发现的新的计算模型。我的短期目标包括理解纤毛虫的基因组体操以及移码过程，移码是蛋白质翻译的一种扭曲，允许从单个基因产生多种蛋白质。我的长期目标是利用计算分析来对各种生物过程进行深入的科学理解。

There are many parallels between computer science and genetics.  The structures in both store information as lengthy sequences, sometimes in the form of zeros and ones or perhaps as DNA.  In both fields, we perform operations on those sequences through different mediums, such as electronic circuitry or proteins.  We now have an ever increasing wealth of genetic information at our disposal.  Consider that the genome of a single human being is over three billion nucleotides in length.  It is essential that we find interesting patterns amongst the plethora of data in order to understand the inner-workings of even a cell.  Computer science allows for a natural way to study these patterns, based on its similarity to biological structures and its ability to process massive amounts of information quickly.  By establishing new connections between the two fields, we can then use methods from computer science towards the study of analgous processes in biology.  Furthermore, we could uncover new methods of computation through the guise of biology.  For example, stichotrichous ciliates, a group of single-celled organisms, perform a descrambling process on their DNA to create genes capable of generating proteins.  Descrambling of strings is a mechanism well studied and understood in computer science.  By modelling this process in computational terms, we can create algorithms for studying ciliate genome data.  Moreover, we can attempt to comprehend the exact manner and machinery used for descrambling in a cell.  In parallel, this provides us with a new model of computation found in nature. My short term goals include the comprehension of the genome gymnastics of ciliates as well as the process of frameshifting, a twist on protein translation that allows for multiple proteins to be produced from a single gene. My long term goal is to use computational analysis to converge towards a deep scientific understanding of various biological processes.