Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
Functional genomics investigations can make use of a variety of methods, ranging from high-throughput technologies such as next-generation sequencing and microarrays to RT-PCR. The Transcriptome Data Analysis online course covers all of the functional elements of transcriptomic data analysis.
The technique chosen by the candidate will be determined by the size and scope of the experiment. When developing the experiment, candidates will consider the benefits and drawbacks of each technology, as well as if they are appropriate for the sort of planned experiment. The Transcriptome Data Analysis training provides both the theoretical and practical processes necessary for experiment preparation and hypothesis testing.
The 26 hours course is jointly provided by Edu Plus Now, in collaboration with the Indian Statistical Institute Pune. The Transcriptome Data Analysis syllabus includes various topics such as data extraction, gene network analysis, raw data, functional analysis, quality control management, python, R, statistics, data analysis, data visualization, etc.
The Highlights
- Advisory Board members from Industry & Academia
- Separate batches for working professional
- Weekend batch
- Placement Assistance
- Industry-Endorsed Curriculum
- Projects spanning
- Access to Lecture Recordings
- Course provider Edu plus now
- Offered by ISI, Pune
- 26 hours duration
- Live interactive session
- Domain Experts Faculty
Programme Offerings
- assignments
- online learning
- Practicals
- Capstone Projects
- Certification
- Lecture
- live sessions
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | edu plus now |
Eligibility Criteria
Certification Qualifying Details
After finishing the Transcriptome Data Analysis course successfully, students will get a certificate of completion from the Indian Statistical Institute, Pune via Edu Plus Now.
What you will learn
After completing the Transcriptome Data Analysis online certification course, candidates will learn about SQL, Functional Analytics, Statistical Analysis, Regression Modelling, Text Mining, Hypothesis Testing, Machine Learning Using R, Predictive Analytics, Python, Deep Learning, Natural Language Processing, Neural Networks, Predictive Modelling, Python Spark, Tableau, Big Data Hadoop, Etc.
Who it is for
Candidates who want to learn about SQL, Statistical Analysis, Functional Analytics, Text Mining, Regression Modelling, Predictive Analytics, Machine Learning Using R, Hypothesis Testing, Python, Deep Learning, Natural Language Processing, Predictive Modelling, Neural Networks, Spark, Hadoop, Tableau, etc can join the course.
Admission Details
To get admission to the Transcriptome Data Analysis program from IIT Madras, follow the steps mentioned below:
Step 1. Open the official course page by going through the link given below. (https://www.eduplusnow.com/course-details/transcriptome-data-analysis)
Step 2. Select your study plan by clicking the Enroll Now button.
Step 3. Fill in the required information and submit.
Step 4. Pay the fee and begin learning at the scheduled time.
The Syllabus
- Theoretical modules
- Basic concept
- Data extraction
- Microarray Data analysis
- Raw data
- Quality control
- Read Alignment
- Mapping output
- Visualization of mapped reads
- DEG analysis
- Single-cell RNA seq
- Gene network analysis
- Variant calling
- Function analysis
- R
- Python
- Tophat
- STAR
- Hisat
- Bedtools
- Introduction to NGS
- Microarray, RNA-seq
- Bulk vs Single-cell RNA-seq
- R
- Statistics
- Introduction to Biological databases
- GEO and SRA database
- Data extraction and management
- Microarray data analysis
- Microarray data visualization
- Introduction to bioinformatics file formats
- Quality Control
- Preprocessing of raw reads: quality control (FastQC), adapter clipping, quality trimming
- Read Alignment
- Introduction to read mapping (Alignment methods
- Mapping heuristics)
- Tophat
- STAR and Hisat
- Mapping Output
- SAM and BAM format
- Manipulating SAM/BAM files
- Visualization Of Mapped Reads
- IGV
- Deg Analysis
- Gene quantifucation
- DeSEQ
- Data visualization
Seurat
- STRING database
- Cytoscape
- Variant Call File Format (VCF)
- Variant calling using GATK
- Variant annotation using SnpEff
- Dimensionality reduction
- tSNE
- UMAP
- RCC
- Survival analysis
- SSGSEA
Instructors
Indian Statistical Institute, Pune Frequently Asked Questions (FAQ's)
A weekend batch pattern is followed by the Transcriptome Data Analysis training.
The learning schedule of the Transcriptome Data Analysis training is online weekend classes.
The duration of the Transcriptome Data Analysis course is 26 hours.
The Indian Statistical Institute offers Transcriptome Data Analysis via Edu Plus Now.
Edu Plus Now is the course provider of the Transcriptome Data Analysis online training.