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3 Days Offline Hands-On Training

Genomic Data Science Training

Advance your Gene Expression pipeline with Machine Learning Model

WORKSHOP HIGHLIGHTS

Some of the important components of the workshop going to be covered in the sessions.

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Enrichment Analysis

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Data
Generation

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Building ML Pipeline

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Model Visualization

introduction to TRAINING

In this 3 Days Hands-On Genomic Data Science Training, we will be using gene expression data for Analysis by using an online platform and Machine learning model. In this, Genomic Data Science Training we will learn how to process gene expression data using Online line tools & Servers to gain insight into their enrichment and to further take this knowledge for analysis with the help of machine learning algorithms.
Retrieving the raw expression data and performing the data analysis post generating the information from the bioinformatics tools and implementing the Machine Learning models and getting a more profound understanding of our Genomic Data.

In this 3 Days Genomic Data Science Training you will perform several tasks hands-on so that you can perform these tasks on your own without requiring any external help. The whole idea of conducting the Genomic Data Science Training is to create awareness among Life science professionals about the use of machine learning techniques in the life science field to carry out more profound analysis and understand the genomics data in a much better way.

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WORKSHOP SCHEDULE

This isn’t another day-long session repeating the things we know. We’ve designed and framed them well, so every minute introduces a new concept and a different point of view to adopt.

DAY 1

10:00 AM - 11:15 AM

Introduction to Genome  Analysis 

11:15 AM - 11:30 AM

Refreshment Break

11:30 AM - 01:00 PM

Understanding & Retrieving the Genomic (RNA) Data

01:00 PM - 02:00 PM

Lunch Break

02:00 PM - 03:15 PM

Carrying out Gene Expression Data Analysis

03:15 PM - 03:30 PM

Refreshment Break

03:30 PM - 04:30 PM

Translating the generated results for use with machine learning pipeline

04:30 PM - 05:00 PM

Conclusion and Q&A Session

DAY 2

10:00 AM - 11:15 AM

Introduction to Machine Learning & it’s use in Genomic Data Analysis

11:15 AM - 11:30 AM

Refreshment Break

11:30 AM - 01:00 PM

Data Pre-processing & Preparing the Environment for Workshop on your systems.

01:00 PM - 02:00 PM

Lunch Break

02:00 PM - 03:15 PM

Data Exploration & Data
Pre-processing

03:15 PM - 03:30 PM

Refreshment Break

03:30 PM - 04:30 PM

Using Training & Test Data for carrying out the Analysis

04:30 PM - 05:00 PM

Conclusion and Q&A Session

DAY 3

10:00 AM - 11:15 AM

Selecting Machine Learning Algorithm for Model Generation

11:15 AM - 11:30 AM

Refreshment Break

11:30 AM - 01:00 PM

Update the model with Deep learning algorithm (Demo Only)

01:00 PM - 02:00 PM

Lunch Break

02:00 PM - 03:15 PM

Model Evaluation & Result Visualisation

03:15 PM - 03:30 PM

Refreshment Break

03:30 PM - 04:00 PM

Q&A, Conclusion & Certificate Distribution

WHO IS THIS WORKSHOP FOR?

This workshop is best suited for anyone Pursuing their PhD, Researchers, Post Doctorol Fellows, Junior Research Fellow, Senior Research Fellow, Faculty Member, Company Employees Etc. in the field of Life Sciences. 
A minimum working knowledge of command-line tools will be helpful along with the understanding of Genome Analysis.

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WORKSHOP OUTCOMES

Genomic Data Science Training will be helpful for those who have been looking forward to some more advancements in their Bioinformatics pipelines and want to achieve a deeper understanding of their results.
On the other hand, Genomic Data Science Training will be a very useful program for those looking for growth in their career by publishing some new papers with the help of some new technology.
After attending the genomic data science Training, participants will get a clear understanding of the complete Next Generation Sequencing Data Analysis pipeline and utilize the Machine Learning algorithm for a better and deeper understanding of our Genomic Data.

WHAT'S INCLUDED

Apart from what’s promised to be delivered during the sessions, we are passionate about adding value to your professional life by providing a few extra things which will help you in various different ways.

Participation Certificate

Step-wise Protocol

Introduction Document

20+ Hours of Training

2 Case Studies

Guided Hands-On Exercises

LOCATION

New Delhi, India

DATE & TIME

SEPTEMBER 07-09, 2023 | 10:00 AM - 05:00 PM

VENUE

To Be Announced

Registration Fee

Researcher Registration Pre-Early Bird – ₹ 3500/-

Working Professionals Registration Pre-Early Bird
₹ 4200/-

Early-Bird Registration Ends on August 10, 2023

TERMS & CONDITIONS

  1. All fee paid is not refundable so please read all the terms & conditions before making any payments. If you still have any doubts please contact us and confirm and then only make the payment.
  2. Participants need to bring their registration tickets along with a valid Institutional ID, then only they will be allowed to attend the session. Please reach out to our team in case of any exceptions.
  3. Please fill all your details in the form correctly as those details will  be used in your certificate as well.
  4. Participants need to bring their own computer (laptop) system for the program.
  5. The software tools and other required software tools will be provided from our side for the purpose of this program.
  6. Participants need to reach the venue and report 30 minutes prior to the start of the sessions.
  7. Participants need to wear masks all the time inside the premises and abide by the other rules at the premises. 
  8. Particpants need to attend all the sessions in order to be eligible for getting the certificate.
  9. Welcome email will be sent to all the participants with all the details related to the program. Please check your Inbox/Spam folder for the email. 
  10. All the details of the software installations and how to prepare your system for the Program will be shared with all the participants in the Welcome Email itself.
QUERY

Contact Us

We understand that you may have some questions before you make the payment for the course.  Feel free to get in contact with us through the below given options. 

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