NGS Application
Single Cell RNASeq - Single Cell RNA expression analysis
Period Of Training
7 days
Training Schedule
2 Hours Daily (One To One Training) Monday to Friday
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)(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.
Sequencing Platform
Illumina / Ion Torrent
if other platform pacbio or nanopore
or any other sequencing platform kindly write email to us.
Raw data
Training will be based on same content provided as well as demo raw data from NCBI SRA will be taken.
Kindly note if custom requirement either to change the content or tools or raw data from candidate to be included during training
in that case it will come under custom training and we request to send us email details accordingly.
Also candidate can learn with their own raw data as well as can also make all figures and tables as per the publication reports which will help to directly make reports with our expert team.
Kindly note only custom based training will provide this feature and need to be discussed before registration.
Training Starting Date
Registration - Open
Training can be started on any date as per the candidate convenience
as its one to one training as well as its 100% interactive.
Module-NGS
Single Cell RNAseq Data
Analysis
-Introduction to Bioinformatics and Overview of NGS & detailed understanding
-Linux understanding and Installation of Linux and NGS tools
- Data Retrieval (NCBI SRA) & Introduction to data types
- Read Quality Check (FastQC & Cutadapt)
- Cell ranger genome 10X data processing and data generation for seurat
- Basics on R programming & seurat installation
- Analyzing single-cell RNA-seq data containing read counts using R programming
- Quality control of cells
- Filter out low abundance genes
- Normalization of cell-specific biases
- Denoising expression values using PCA
- Defining cell clusters and detecting marker genes
- Different plots using R (heatmap & expression plots)
- GO-Enrichment and Pathway Analysis
- Network Analysis with string-db and Cytoscape
Eligibility
Anyone who is interested can apply(Any Life sciences graduate/postgraduate/PhD).
Industrial Exposure
100% based on Industrial exposure/Research
Certificate
All the participants will receive certificates on successful
completion of training
Support
- live recording during training as well as training manual will
be provided
- Additional 2hrs of support after completion of training
-
server access if the candidate laptop/desktop will not support for analysis
Payment Options
Paypal/Wire Transfer/cheque/Gpay/PhonePay/Online Gateway
Razorpay(National and International)/Any UPI Payment