Next-Generation
Sequencing Data Analysis Workshop: An overview
Our 3 days
and 4 days hands-on NGS Data analysis workshop will provide an detailed
overview to data analyses, tools and resources for genomics and transcriptomics
next generation sequence data. It will be delivered using a mixture of
lectures, computer-based practical sessions and discussions with case studies
from life science research. This workshop will also introduce the Galaxy
platform and walk participants through a multi-step next generation sequencing
(NGS) data analysis, starting with quality control. We will review common
choices in NGS data analysis, and demonstrate them within the context of
Galaxy, taking full advantage of Galaxy's rich tool set and visualization
capabilities. We will also provide a brief overview of what is needed to set up
your own local Galaxy instance. Galaxy is an open-source, NIH-funded project.
Practical Application:
· Understand the Next generation sequencing
· Discuss the advantages and limitations of the
sequencing technologies
· Learn how to use Galaxy server to analyze the
NGS data
· Deal with the raw Illumina data with quality
evaluation and filtering
· Map reads to the reference genomes, call SNPs
and predict their phenotype consequence
· Alignment to a reference, SNP and structural
variant-calling of next generation DNA and RNA data
· Use some bioinformatics software and tools to
aid with the analysis of NGS data
· Understanding Gene expression and Differential
gene expression
· Performing the diversity analysis using
metagenomic tools
· Overview on ChiP-Seq analysis (Day 4)
· Visualize
your data in genome browsers and make conclusions
· Participants will receive workshop training
certificate.
Topic to be covered:
- Introduction
to sequencing technologies from a data analysts view
- Common
NGS data analysis issues
- Applications
of sequencing technologies
- Notations
and NGS Terminolgy
- Introduction
to the command line and important commands- Linux
- Introduction
to bioinformatics file formats (e.g. FASTA, BED) and databases (e.g. UCSC)
- Raw
sequence files (FASTQ format)
- Preprocessing
of raw reads: quality control (FastQC), adapter clipping, quality trimming
- Introduction
to read mapping (Alignment methods, Mapping heuristics)
- Read
mapping (BWA, Bowtie2, STAR, segemehl)
- Mapping
output (SAM/BAM format)
- Usage
of important NGS toolkits (samtools, BEDtools)
- Introduction
to DNA-seq analysis with Galaxy
- Introduction
to RNA-seq analysis with Galaxy
- Performing
diversity analysis of the metagenome
Day 4
- Introduction
to ChIP-seq analysis with Galaxy
Databases
and Tools & Software’s used
· SRA, GEO Database, NCBI, EMBL, Galaxy,
wAANOVAR, FREEBAYES, BOWTIE, BWA, Varscan, HTcount, DESEQ2, MACs, IGV, UCSC
genome browser and many more.
Eligibility: Working
professional,Scientists /Research fellows (National Laboratories, Universities & other R&D
institutions) and Graduate / Post graduate students in Engineering / Biological
/ Chemical sciences/ Medical discipline.
Workshop Date – 14th
Dec – 17th Dec 2017
Fees: For Registration
Registration
|
Dates for Registration
|
Students
|
Professor/ Researcher
|
NRI/Foreigner
|
|||
3 Days
|
4 Days
|
3 Days
|
4 Days
|
3 Days
|
4 Days
|
||
Early Bird
|
Till 14 Nov 2017
|
4956
|
6608
|
5664
|
7552
|
6372
|
8496
|
Standard
|
15th Nov- 13th
Dec 2017
|
6372
|
8496
|
7080
|
9440
|
7788
|
10384
|
·
*Includes lunch, & snacks.
· **Id proof required at the time of registration.
· ***Fees are non transferrable & non refundable in any case.
· **Id proof required at the time of registration.
· ***Fees are non transferrable & non refundable in any case.
Speakers:
Mr.Sameer
Chaudhary
Sr.Scientist, RASA Life Science Informatics.
Tanvee
Pardeshi
Application Scientist, RASA Life Science Informatics.
Sakshi
Rawat
Jr. Application Scientist, RASA Life Science Informatics.
Venue: RASA Life Science Informatics
4th floor.46/10 shakuntal,
Law college Road,Erandwane 411004
4th floor.46/10 shakuntal,
Law college Road,Erandwane 411004
ONLINE PAYMENT DETAIL
Bank Name &
Branch: IDBI, F.C. Road, Pune.
A/C
Name: RASA LIFE SCIENCE
INFORMATICS
A/C Number:
007102000025762
IFSC Code:
IBKL0000007
0 Comments