Title: Extensive computational analysis of chromosome 11

Authors: Abhivyakti Srivastava; Mottadi Shiva; Priyanka Kumari; Yasha Hasija

Addresses: Department of Biotechnology, Delhi Technological University, Delhi, India ' Department of Biotechnology, Delhi Technological University, Delhi, India ' Department of Biotechnology, Delhi Technological University, Delhi, India ' Department of Biotechnology, Delhi Technological University, Delhi, India

Abstract: Even before the onset of Human Genome Project in 1990, various research, analysis and experiments were going on human genome. In human genome, there are 23 pairs of chromosomes. Chromosome 11 is rich in disease having a size of 134 million base pairs. From over 1,000 genome web servers, sequence data for the chromosome 11 have been taken as a (.bam) file. On chromosome 11, various different analyses were performed across various fields and categories such as determining the sequence quality, peak model, GC%, studying phenotype, and disease associated with respect to chromosome 11. Here, we have analysed the evolutionary relationship by isolating positively selected genes across six species, and we predicted the t-RNA and RNA secondary structures and aligned them discretely with the human genome chromosome 11. All these analyses were done primarily with the help of two tools: (1) web-based program - NEBULA and (2) UCSC genome browser.

Keywords: ACEScan; BuORCHiD; chromosome 11; EvoFold; FASTQC; FindPeaks; FLAGSTAT; Hydroxyl radical cleavage; MACS; NEBULA; UCSC genome browser.

DOI: 10.1504/IJBRA.2017.085858

International Journal of Bioinformatics Research and Applications, 2017 Vol.13 No.3, pp.242 - 263

Received: 23 May 2016
Accepted: 11 Dec 2016
Published online: 16 Aug 2017 *

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