Intensive hands on Workshop on Human Genome and Transcriptome Data Analysis | March 27-30, 2017 ~ helpBIOTECH

27 February 2017

Intensive hands on Workshop on Human Genome and Transcriptome Data Analysis | March 27-30, 2017

 helpBIOTECH Academy, Hyderabad MSc Biotech/Life Sciences Class Room Coaching 2019

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Intensive hands on Workshop on Human Genome and Transcriptome Data Analysis

Date: March 27-30, 2017

Center for Systems Biology and Molecular Medicine (CSBMM) is a premier center for Genomics, Proteomics and Computational Biology. The scientists at CSBMM are carrying out cutting edge research by employing NextGen sequencing (NGS)-based genomics and transcriptomics to understand and enable biomedical discoveries intended towards translation in the areas of research, performance of livestock and plant biology. CSBMM has also established a state-of-the-art proteomics facility to discover and validate candidate biomarkers in human diseases ranging from infectious diseases to cancers. As a part of the academic program of Yenepoya University, scientists at CSBMM will share their expertise in NextGen sequencing-based genomic data analysis with young researchers in India, through this workshop. The organizing team of this workshop has successfully conducted over 20 national workshops on NextGen sequencing-based genomic and transcriptomic analysis. Several faculty and students from reputed Research Institutes and Universities from India have participated in these workshops.

Venue: YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya University, Mangalore, India.

Contents of the workshop:

Introductory lectures on high-throughput sequencing methods have been arranged. Hands-on sessions are designed to assess and apply quality control, analysis method to perform alignment of whole-genome and whole-exome sequencing data against human reference and subsequent variant identification and functional annotation. Differential expression analysis using transcript assembly of RNA-Seq data and interpretation of large genome datasets of human will be performed. Publicly available online resources for data and analysis will be demonstrated. A new interdisciplinary subject of proteogenomics will be carried out hands-on. A live demonstration of sequencing using Oxford nanopore platform will be performed.


· High-throughput sequencing
· Data formats
· Quality control of data
· Analysis tools
· Genome alignment
· Variant analysis
· Transcript assembly
· Proteogenomics
· R packages - NGS analysis
· Visualization using IGV

The hands-on training on genomic data analysis and annotation carried out during the workshop will result in a manuscript, which will be submitted to an international peer reviewed journal for publication. All the participants will be co-authors on this manuscript.

Registration fees:

Students: Rs 17,250/- (15,000 + 15% ST)
Academics: Rs. 23,000/- (20,000 + 15% ST)
Industry: Rs. 28,750/- (25,000 + 15% ST)
Foreign Participants: $600
(* ST: Service Tax)

A concession of Rs. 2,000/- in the registration fee will be provided for:

1. Students and faculty from Jammu and Kashmir and North east India
2. Group registration of 3 or more students from the same Institute

How to register

Please click on below link to go through the workshop program.
Please click on below link to register for the workshop program.
The participants are requested to duly fill the online application by accessing above registration link
Payment can be made through demand draft (DD) in favor of “Yenepoya University”. Please mention your name and "Intensive Hands on Workshop on Human Genome and Transcriptome Data Analysis" on the reverse side of the DD.


Online transfer (Refer to guidelines provided in the registration page link)

Registration will be confirmed on receipt of the demand draft or online transfer.

Accommodation will be arranged for all workshop participants at Meridyen Apartments, upon request. For further accommodation details, please visit the below link,

Don't forget to mention helpBIOTECH when you Apply


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