Workshop on Transcriptome / RNASeq Data Analysis
In the post-genomic era, Life science career aspirants must equip themselves with tools and techniques for efficient storage, processing and analysis of big 'Omics’ data. Transcriptome / RNASeq data analysis is one of the widely practiced exercise to study differential gene expression in biological systems. The knowledge of RNASeq data analysis will greatly help you to meet the everyday challenges posed by your Next Generation Sequencing data and can save a lot of your time and efforts to deal with it.
Attending RNASeq Data Analysis workshop will enable you to learn basic concepts of RNASeq along with hands-on experience on solving real biological data. Trained by experienced research professionals from various life science domains, you will be introduced with its applicability to real-time problems.
Dates for future workshop on Transcriptome / RNASeq Data Analysis will be announced soon.
If you are interested, the workshop can also be organized at your institute. Please email us at [email protected]
Key Highlights
Day 1: Introduction, installation and configuration of Software. Basic primers for Linux and R. File formats
Day 2: Data import and export, data visualization using R packages
Day 3: De novo RNASeq data analysis using Trinity pipeline. Data visualization using genome browser
75% time is devoted to practical sessions (Hands-on)
Day 2: Data import and export, data visualization using R packages
Day 3: De novo RNASeq data analysis using Trinity pipeline. Data visualization using genome browser
75% time is devoted to practical sessions (Hands-on)
Benefits |
Who should attend |
Participants will be able to
- Learn basics of Linux and R for RNASeq - Perform quality analysis of NGS data - Analyze RNASeq data - Data visualization in genome browser - Post workshop assistance to advance knowledge in the area Flyer of previous workshopParticipants of previous workshopNumber of participants: 31 How to applyWill be informed soon ...
Workshop instructorsThe workshop will be conducted by experienced Bioinformatics professionals, who are actively involved in research and development in Life Sciences. It will help you to get application oriented knowledge of R for Life Sciences. BioSakshat ensures that every participant receives equal mentoring assistance throughout the workshop.
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Registration fees1) Student: 3000/- INR 2) Research fellows: 5000 INR 3) Academician: 7000/- INR 4) Industry: 10000/- INR Registration fee includes participant’s kit, study material, tea, refreshments and participation certificate. The registration fees are not refundable. RequirementsPlease bring your own/shared laptop so that you can carry out your
hands-on sessions. Venue
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