Workshop on the concept and application of genomics in clinical medicine
Genomic technologies have been progressing at break-neck speed in the recent years, with newer applications being developed almost every day. Many of these advances have undeniably accelerated our understanding of human disease biology with implications in better molecular characterization of diseases. In recent years, advances in Next Generation Sequencing (NGS) technologies have enabled a significant reduction in the cost of nucleotide sequencing. These together have signalled a significant change in the way we practice medicine.

A large number of molecular data-sets including genomic data needs to be integrated in the clinic for precise diagnosis and to be able to predict prognosis for a patient. It has become necessary that clinicians keep abreast of these developments and be equipped to implement it in their clinical practice. The workshop attains significance in this backdrop and provides a conceptual understanding of the spectrum of applications encompassing genomic medicine.


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CME and Workshop on the concept and application of genomics in clinical medicine
Genomic technologies have been progressing at break-neck speed in the recent years, with newer applications being developed almost every day. Many of these advances have undeniably accelerated our understanding of human disease biology with implications in better molecular characterization of diseases. In recent years, advances in Next Generation Sequencing (NGS) technologies have enabled a significant reduction in the cost of nucleotide sequencing. These together have signalled a significant change in the way we practice medicine.

A large number of molecular data-sets including genomic data needs to be integrated in the clinic for precise diagnosis and to be able to predict prognosis for a patient. It has become necessary that clinicians keep abreast of these developments and be equipped to implement it in their clinical practice. The workshop attains significance in this backdrop and provides a conceptual understanding of the spectrum of applications encompassing genomic medicine.Who should attend ?
Clinicians, Clinical Geneticists, Medical Students and researchers interested in genomics and clinical application of genomics.

Date: Saturday June 6th, 2015
Flamingo Auditorium
Frontier Mediville, Elavur/Edoor Village, Gummidipoondi ‐ 601 201.
Thiruvallur District, Tamilnadu. India

February 20-22, 2013

Bioinformatics Resources and Applications Facility (BRAF)
Centre for Development of Advanced Computing (C-DAC)
University of Pune Campus
PUNE-411007
Maharashtra, India
http://bioinfo-portal.cdac.in

URL:  http://www.apchg2012.org/

¹CSIR Institute of Genomics and Integrative Biology, Mall Road, Delhi; ²Open Source Drug Discovery Unit, Anusandhan Bhavan, New Delhi; ³BRD Medical College, Gorakhpur, Uttar Pradesh; ⁴National Institute of Virology, Pune, Maharashtra; ⁵Abdul Hakeem College, Vellore, Tamil Nadu; ⁶All India Institute of Medical Sciences, Ansari Nagar, Delhi

Isolation and Identification of pathogens from clinical samples has been the mainstay of clinical microbiology. However, this process is often tedious, time-consuming and costly, limiting the application in general clinical settings to a select set of pathogens. The availability of high throughput sequencing technologies has made it possible to provide an unbiased view of genetic material in biological samples. The improvements in scale/throughput of DNA sequencing coupled with rapidly diminishing cost now offers a new opportunity to identify pathogens using a sequencing approach. The widespread application of DNA sequencing in such settings had been majorly limited by the fact that traditional sequencing methods often required pure isolates for genome analysis, while clinical samples usually exists as mixed genome samples or hologenomes with 2 or more components. We show that effective modifications of the sample processing and analysis protocols would enable identification and assembly of pathogens from mixed genome samples. We have successfully applied hologenome sequencing on biological samples containing mixed genomes. This approach significantly overcomes the limitations of traditional microbiology applications and can be adapted to clinical settings. We show that this could be extended to special settings including epidemics. Apart from identifying pathogens, the technology would enable to potentially understand the dynamics of host-pathogen interactions.