Population Genetics for Autosomal STR Loci in Sikh Population of Central India

Dogra, D; Shrivastava, Pankaj; Chaudhary, Ruchira; Gupta, Umang; Jain, Toshi

doi:10.4172/2161-1041.1000142

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…A population analysis can be performed using the model based STRUCTURE program using available genomic data. The program can infer the genetic structure in haploid, diploid and polyploid species as per requirement [44,45]. Simulation studies in population genetics play an important role in helping to better understand the impact of various evolutionary and demographic scenarios on sequence variation and sequence patterns, and they also permit investigators to better assess and design analytical methods in the study of disease-associated genetic factors.…”

Section: Bioinformatics Methods For Viral Genomicsmentioning

confidence: 99%

A Review on New Horizons of Bioinformatics in Next Generation Sequencing, Viral and Cancer Genomics

Sharma¹

2016

Int J Biomed Data Min

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Genomics and molecular biology has always been a constant source of inspiration and motivational research for worldwide researchers in field of biology and biotechnology. These two fields have always generated a huge amount of data and in order to compile and analyze those, bioinformatics came into action during last decade. Implementation of bioinformatics has a clear intention of doing all these analysis of data in efficient and fast manner in order to cut down the expensive laboratory equipment, chemicals and most precious time. Mostly genomic data is composed of sequencing results at a higher scale and that is why manual curating and handling of these data is quite difficult. Supreme aim of this review is to make awareness about bioinformatics options in cancer genomics and viral genomics apart from next generation sequencing. Next generation sequencing or high throughput sequencing has helped a lot to replace old conventional method of sequencing and with the help of recent advances in technologies. These technologies are very efficient, fast and cheaper also as compare to conventional methods. Recently used methods were also discussed under appropriate headings. Role of bioinformatics is getting bigger and bigger in management and analysis of enormous amount of biological data generated through medical, biotechnological and clinical research globally. But we still need to understand challenges and limitation of bioinformatics as well as reliability.

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Section: Bioinformatics Methods For Viral Genomicsmentioning

confidence: 99%