Whole Transcriptome Sequencing

Six Months Offline Course

Course Overview

Whole transcriptome sequencing by RNA-Seq involves a snap-shot measurement of the complete complement of transcripts in a cell. These include transcripts such as mRNA and all non-coding RNAs. By looking at the whole transcriptome, researchers are able to determine global expression levels of each transcript, identify exons, introns and map their boundaries. In addition, RNA-Seq can be used for the identification of splicing variants. To accurately look at the whole transcriptome, most library preparation protocols first start with the removal of ribosomal RNA (rRNA) which otherwise takes up the majority of all sequencing reads.

The vision of this training is to bridge the gap between formal education and industry needs in the biotechnology and bioinformatics sectors by providing six months certificate program for industrial skill training for post graduates, PhD. students. This gives practical experience in specific domains to biotechnology and bioinformatics

The programme is very beneficial to students, as the students get first hand exposure to industrial work-culture and required skills. Here we are offering the six months certificate offline program with high quality of learnings: Get Industry recognized certification with lifetime validity.

Duration:  Six months offline Course

- Basics of Bioinformatics + Linux Environment
- Wet Lab Training
- Data Analytics (De-novo & ReSeq)
- Internship
- Placement Support
- Certificate upon completion of the course

Who this course is for:

  • B.E, B.Tech, Master’s degree in any branch of Life Sciences.
  • Those awaiting their final results are also eligible to apply.

What you'll learn:

Dry Lab

  • RNA - Sequencing
  • RNA - ReSeq
  • RNA - De Novo

Wet Lab

  • RNA Isolation
  • Sample Handling
  • Library Preparation
  • Quality Control

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Global Genome Informatics Program100% Job Guarantee with a minimum CTC of 3 lakh/annum.

Join an interactive offline one-year certificate program on Global genome informatics.