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Design of an Optoelectronic Biomolecular Scanning System using Smart VCSEL and Photodetector Arrays

机译:使用智能VCSEL和PhotoPetector阵列设计光电生物分子扫描系统

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Biological databases, unlike general-purpose databases, have a unique data format and organization that require specialized searching techniques. Protein and DNA sequences (biosequences) are stored as character strings that can be several thousand characters (also called bases) long. The character sets for protein and DNA strings contain 20 and 5 distinct characters, respectively. Biomolecular scanning (BMS) involves taking a query biosequence and comparing it to every biosequence in the database to identify a subset of biosequences that are similar to the original string. The seemingly simple operation of string comparison becomes an extremely tedious computation because of the sheer size of the database (e.g. GenBank currently contains more than 2 * 10~9 bases in 2,838,000 sequence records) and the need to search for similarities that may include character insertions, deletions, and substitutions in addition to exact matches. BMS is the basic operation for a number of significantly more complex tasks in molecular systematics that include multiple biosequence alignment and phylogenetic tree reconstruction. In both cases, a large number of iterations of the basic search algorithm must be performed.
机译:与通用数据库不同,生物数据库具有唯一的数据格式和需要专门搜索技术的组织。蛋白质和DNA序列(Biosequence)被存储为可以是几千个字符(也称为基础)的字符串。蛋白质和DNA串的字符集分别包含20和5个不同的特征。生物分子扫描(BMS)涉及进行查询生物序列,并将其与数据库中的每一种生物定义进行比较,以识别类似于原始字符串的生物序列的子集。字符串比较的看似简单的操作成为一个极其繁琐的计算,因为数据库的大小(例如,Genbank目前包含超过2 * 10〜9基于2,838,000条序列记录的基础),并且需要搜索可能包括字符插入的相似之处除了完全匹配之外,删除和替换。 BMS是在分子系统中的许多明显更复杂任务的基本操作,包括多种生物序列对齐和系统发育树重建。在这两种情况下,必须执行大量基本搜索算法的迭代。

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