OligoSpecificitySystem:考虑到退化和失配可能性的寡核苷酸集的全局匹配效率计算。

IF 0.2 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY International Journal of Data Mining and Bioinformatics Pub Date : 2014-01-01 DOI:10.1504/ijdmb.2014.062148
R J Michelland, S Combes, L Cauquil
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引用次数: 1

摘要

寡核苷酸集在分子生物学中广泛应用于利用基于聚合酶链反应(PCR)的技术靶向一组核酸序列。目前,一个寡核苷酸集的全局匹配效率被认为等于为每个寡核苷酸计算的较低匹配效率。然而,与限制性寡核苷酸匹配的序列并不总是与该集合中的其他寡核苷酸匹配,从而导致对匹配效率的评估存在偏差。OligoSpecificitySystem程序通过计算寡核苷酸集的真实全局匹配效率来避免这种偏差。它可以处理各种寡核苷酸集,包括寡核苷酸的数量、碱基对简并或错配的发生。
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OligoSpecificitySystem: global matching efficiency calculation of oligonucleotide sets taking into account degeneracy and mismatch possibilities.

Oligonucleotide sets are widely used in molecular biology to target a group of nucleic acid sequences using Polymerase Chain Reaction (PCR)-based technologies. Currently, the global matching efficiency of an oligonucleotide set is considered to be equal to the lower matching efficiency calculated for each oligonucleotide. However, sequences matching the limiting oligonucleotide did not always match the other oligonucleotide of the set, resulting in a biased evaluation of the matching efficiency. The OligoSpecificitySystem program avoid this bias by calculations of the real global matching efficiency of oligonucleotide sets. It can process all kinds of oligonucleotide sets, including the number of oligonucleotides, base pair degeneracy occurrences or mismatch occurrences.

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来源期刊
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1.00
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>12 weeks
期刊介绍: Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.
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