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ArrayGen > Services > Workshops / Training > scRNA-Seq

  Good News For Researchers !!!
A workshop for PhD students and post-doctoral researchers coming with their own real data sets will get the training and their data analysis done at considerable discount. After this course they will be able to analyze their own data and create ready-to-publish graphics.

Goals :

scRNA-Seq workshop is to introduce researchers to the basic principles of analyzing scRNA seq data generated by next-gen sequencing approaches.The most important NGS file formats (fastq, sam/bam etc.) are introduced and one can proceed with hands-on analyses (QC, mapping, visualization).

In this hands-on session we will align example data from an scRNA-Seq experiment against the genome, assign the reads to genes, count the expression of genes and then check for statistical analysis to cluster cells into putative subpopulations.

More than 750+ candidates have taken this course and have successfully build their career in Bioinformatics.

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

## 10% Discount if you register before 25th February, 2020 . Hurry up!!

Single Cell RNA Seq Information
Period of Training Offline - 15 days Training   [ 2 Hours Daily [ Monday To Saturday ] ]
Online - 15 days Training   [ 2 Hours Daily [ Monday To Saturday ] ]
Registration Open
(Training can be started on any date any timing as per the candidate convenience)
Module - I Advanced Bioinformatics & basic programming
Topics - Introduction to Bioinformatics
- Understanding Genomics Bioinformatics
- Databases & tools (NCBI,UCSC,BLAST,BLAT etc)
- Gene Prediction
- Genome Annotation
- Genome Vizualization
- Basic Perl / Python programming
- Unix based commands
Module - III Next Generation Sequencing (NGS) - scRNA-Seq Data Analysis
Topics - Overview of NGS & detailed understandingg
- Data Retrieval (NCBI SRA) & Introduction to data types
- Read Quality Check (FastQC & Cutadapt)
- Alignment of reads using reference Genome (Tophat)
- Visualization of mapped reads (IGV)
- Gene Expression Quantification (Coverage,FPKM)
- 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)
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


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

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