Genome Wide Association Studies

Good News For Researchers !!!
Genome Wide Association Studies (GWAS) training/workshop is to introduce researchers to the basic principles of analyzing genotyping individuals at common variants across the genome using genome wide SNP by next-gen sequencing approaches. The most important NGS file formats (fastq, sam/bam, bigWig, etc.) are introduced and one proceeds with first hands-on analyses (QC, mapping, visualization).
Goals :
In this hands-on session we will align example data from an GWAS experiment against the genome, variation calling and statistical GWAS analysis with significant pvalue for highly associated mutations filtration. Also combining Computer aided drug designing techniques to validate in-silico for wild type and mutant mutation detected with highly associated mutation from GWAS.

Participants will be introduced with its applicability to real-time data analysis problem. All our training content is as per industrial requirement and 100% practical exposure which will help candidate to make their better career in the field of bioinformatics.

Hurry up and register soon...To become expert in Bioinformatics !

## 10% Discount if you register before 15th June, 2024. Hurry up!!

Genome Wide Association Studies (GWAS)Training Program

GWAS Training Information

Application

GWAS

Period of Training

Offline - 21 Days Training [ 2 Hours Daily [ Monday To Friday ] ]
/ Online - 21 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Course Fee

For course fee please request you to contact us at info@arraygen.com

Training Starting Date

Our training is one to one and training can also be started anytime and anydate as per the candidate convenience. ** Weekend Batches are also available as per the request

Training Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM

Training Mode

Online/Offline
Online(For online training candidate have to install Skype and AnyDesk / ZOOM )(it is same like offline) Offline(For offline training candidate have to come to head office Pune and bring their own laptop).
All our training is one to one and 100% focus with individual candidate which provides 100% learning.

Module - I

Advanced Bioinformatics

Topics

  • Introduction to Bioinformatics & Genomics
  • Introduction to Bioinformatics
  • Understanding Genomics Bioinformatics
  • Databases & tools (NCBI,UCSC,BLAST,BLAT etc)
  • Standalone BLAST Understanding for large scale genomic data handaling
  • Gene Prediction
  • Genome Annotation
  • Genome Vizualization
  • Basics of Programming (Python)
  • Linux for NGS data analysis

Module - II

GWAS

Topics

  • Overview of NGS & variation calling & GWAS
  • Data Retrieval (NCBI SRA) & Introduction to data types
  • Read Quality Check (FastQC & Cutadapt)
  • Alignment of reads using reference Genome (BWA/Bowtie)
  • Understanding Mapping Output(SAM/BAM, Samtools & Bedtools)
  • Variant detection using GATK
  • Visualization of variation with IGV
  • Complete annotation and variant effect prediction(Ensemble VEP)
  • Example VCF data from population Case & Control for GWAS study
  • VCF file format
  • Quality control of Samples, Variants and genotypes
  • GWAS analysis using Hail pipeline
  • Normalisation for confounding caused by population stratification
  • Visualisation of GWAS results (Manhattan plot and QQ-Plot)
  • Disease associated mutation Interpretation

Eligibility

B.Sc/B.Tech/M.Tech. / M.Sc. /Ph.D /PostDocs/Any Life Sciences in Biological Science, Computer science, Pharmacy, Agriculture, Biotechnology, Molecular biology, Medicine, clinical research and other relevant Qualification in the life sciences areas are eligible.

Certificate

All the participants will receive certificates on successful completion of training

Place

ArrayGen, Pune, India

Contact

info@arraygen.com

Send Enquiry
Registration is now open please request to sign up to reserve your place! If you are interested, you can mail us at info@arraygen.com We hope to see you in this new year. Dont miss this opportunity.