The Use of Molecular and Imaging Biomarkers in Lung Cancer Risk Prediction

Fenghai, D

doi:10.4172/2155-6180.1000299

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…Most of the data obtained with state-of-the-art sequencers is in the form of short reads [48]. Hence, analysis and interpretation of these data encounters several challenges, including those associated with base calling, sequence alignment and assembly, and variant calling.…”

Section: Current Challenges Of Next Generation Sequencing (Ngs)mentioning

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: Current Challenges Of Next Generation Sequencing (Ngs)mentioning

confidence: 99%

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

Sharma¹

2016

Int J Biomed Data Min

View full text Add to dashboard Cite

show abstract

The Use of Molecular and Imaging Biomarkers in Lung Cancer Risk Prediction

Cited by 1 publication

References 10 publications

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

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

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