Editorial Bioinformatics Algorithms and Genomics
نویسندگان
چکیده
The Human Genome Project was completed in April 2003 [1]. All of the 3.2 billion base pairs in the entire human genome have been sequenced in this project. The Human Genome Project is a revolutionizing biological and medical research [2]. However, it was just the starting point for us to understand the function of our genome. Extraordinary amount of information generated from the Human Genome Project needed to be analyzed accurately and efficiently. Also several powerful genome-wide detection tools such as genotyping micro arrays and tiling microarrays have been developed based on genetic information from the Human Genome Project. Nowadays, the analysis of huge amount of data from these high throughput tools is still very challenging [3].
منابع مشابه
5th International Scientific Conference of “Plant Genetics, Genomics, Bioinformatics, and Biotechnology” (24-29 June 2019, Novosibirsk, Russia)
This article has no abstract. DOI: 10.18502/jfqhc.6.1.458
متن کاملNew Frontiers in Computational Genomics: Identification of Novel Functional Elements and Genome-scale Pattern Analysis
Genomics researchers produce vast quantities of data that require detailed analysis. The amount of information makes it impossible to manually analyze the data. Thus, many bioinformatics software tools have been developed for the purpose of analyzing large-scale data distributed across numerous public data repositories. The discipline of bioinformatics, like the field of genomics, is in its inf...
متن کاملBioinformatics in structural genomics - Editorial
Editorial BIOINFORMATICS IN STRUCTURAL GENOMICS The goals of structural genomics initiatives are to significantly expand the structural 'coverage' of sequence space. A number of specific objectives have been included within this broad definition. These include, the determination of the detailed three-dimensional structure for at least one representative of each protein fold that occurs in natur...
متن کاملGUEST EDITORIAL Computational Intelligence and Machine Learning in Bioinformatics
It is worth noting that a well-known machine learning algorithm (namely, the perceptron, inspired to the behaviour of a neuronal cell [5]), has just been applied to bioinformatics in the eighties to distinguish translation initiation sites in prokaryotic organisms [6], and starting from this early application, a growing number of computational intelligence and machine learning methods has been ...
متن کامل