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Bioinformatics Analyst : LSSSDC (Govt. of India) Certified Course / BA117624

Instructor Name

Dr. Omics (SM)
Category

Job Oriented Course

Reviews

0 (0 Rating)

Course Requirements

Frequently Asked Questions
Q: What are the prerequisites for enrolling in this course?
A: A basic understanding of biology is necessary. A Bachelor's degree in life sciences, biotechnology, bioinformatics, or a related field is preferred.

Q: Who certifies the Bioinformatics Analyst course?
A: The Bioinformatics Analyst course is Life Sciences Sector Skill Development Council (LSSSDC)(Govt. of India) certified and approved by NCVET, the apex body for implementing NSQF, and is widely recognized by the industry.

Q: Do you provide placement assistance after the course?
A: Yes, after successful completion of the course and upon clearing the third-party examination, we, along with LSSSDC, provide 100% placement assistance to help you secure a job in the bioinformatics field.

Q: What if I am unable to clear the third-party exam on my first attempt?
A: We are confident that the course will prepare you well for the exam. However, if you do not pass on your first attempt, you can reappear by paying the re-examination fee.

Q: What kind of companies hire bioinformatics analysts?
A: Bioinformatics analysts are hired by pharmaceutical companies, research institutes, healthcare organizations, biotechnology firms, and academic institutions.

Q: What does research publication assistance mean?
A: Yes, after completing the classes, we guide you in designing a project based on the skills you have learned, help you develop it into a research paper, and assist you in publishing your findings in reputed journals.

Q: What is the importance of 28 credit hours? 
A: Earning 28 credit hours in the LSSSDC certified course is significant as it demonstrates expertise recognized both nationally and internationally. Approved by NCVET, this certification enhances employability, offers credit transferability, and facilitates further studies or employment opportunities abroad.

Q: What is the fee for the Bioinformatics Analyst course?
A: The booking amount is Rs. 999 (USD 12). For full fee and payment plan details, please contact us via WhatsApp at +91 9310870544, +91 7843088966, or +91 7888118030.

Course Description

Duration: 6 months

Timing: 8:00 PM - 9:00 PM (IST) / 2:30 PM - 3:30 PM (GMT)

🌟 Course Overview:

● Super 30 Bioinformatics Batch

● LSSSDC Indian Govt Certified Course

● 28 Credits Comprehensive Course

● Third Party Examination

● 100% Job Placement Assistance

● Exclusive Interview Opportunities (2 interviews)

● Research Guidance and Publication

● Hands-on Training with a Practical Approach

● Live Interaction with Industry Experts

Course Outcomes

1. Practical Bioinformatics Skills: Gain hands-on experience in bioinformatics tools and techniques, applying theoretical knowledge to real-world scenarios.

2. Sequence Analysis Proficiency: Learn techniques for sequence alignment, genomics, and proteomics, including the use of tools like BLAST and ClustalW.

3. Data Management and Retrieval: Understand how to navigate, import, and manage data from various bioinformatics databases such as GenBank, PDB, and UCSC.

4. Programming Skills: Develop proficiency in programming languages and tools essential for bioinformatics, including Python, R, and Linux.

5. Algorithm and Data Structure Knowledge: Acquire knowledge of essential algorithms and data structures used in bioinformatics, such as dynamic programming and graph algorithms.

6. Machine Learning and AI: Learn the application of machine learning and artificial intelligence techniques to bioinformatics data analysis, including supervised and unsupervised learning methods.

7. Research Publication Guidance: Receive support and guidance for conducting research and publishing findings in reputable journals and conferences.

8. Career Readiness: Benefit from 100% placement assistance, including personalized career counseling, resume building, and interview preparation.

9. Industry Certification: Obtain a prestigious certificate recognized by the Government of India, affirming your proficiency in bioinformatics analysis.

10. Networking Opportunities: Connect with industry professionals, fellow students, and mentors, expanding your professional network and staying updated on the latest trends in bioinformatics

Rules & Regulations

1. Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
2. Third-Party Examination: Need to Clear the Government of India's third-party exam (current fee: Rs. 1650). After that, a Certificate will be awarded jointly by LSSSDC and Dr. Omics Education upon passing.
3. Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
4. Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
5. Assignments and Projects: Complete assignments and projects sincerely and submit them on time.
6. Technical Requirements: Ensure reliable internet, functional computer, and necessary software.
7. Learning Environment: Attend classes in a quiet, distraction-free environment.
8. Academic Integrity: Adhere to academic honesty; plagiarism is strictly prohibited.
9. Feedback and Communication: Maintain open communication with instructors and provide constructive feedback

Course Curriculum

1 18/11/2024(Monday)
1 Hour

2 19/11/2024(Tuesday)
1 Hour

3 20/11/2024(Wednesday)
1 Hour

4 21/11/2024(Thursday)
1 Hour

5 22/11/2024(Friday)
1 Hour

1 Introduction to Bioinformatics and its Applications in Life Sciences
1 Hour

2 Types of sequencing and NGS introduction
1 Hour

3 Introduction to NGS applications
1 Hour

1 NCBI overview
1 Hour

2 NCBI Gene database
1 Hour

3 UCSC Genome Browser Overview
1 Hour

4 UCSC Genome Browser Hands-on Exercises
1 Hour

5 Pubmed Database Introduction
1 Hour

6 Clinvar Database Overview
1 Hour

7 KEGG Database Overview and Exercises
N/A

8 Protein Databases (UniProt)
1 Hour

9 Protein Databases (PDB)
1 Hour

10 Ensemble Database
1 Hour

1 7.Molecular visualization using Pymol
1 Hour

2 Online BLAST Introduction and Exercises
1 Hour

3 Standalone BLAST Setup and Exercises
1 Hour

4 Standalone BLAST Advanced Exercises
1 Hour

5 Multiple Sequence Alignment with ClustalW
1 Hour

6 Multiple Sequence Alignment with MEGA
1 Hour

7 MEGA-part2
1 Hour

1 Overview and Installation of Linux
1 Hour

2 Basic Linux Commands
1 Hour

3 Advanced Linux Commands
1 Hour

4 Package Management using Repository
1 Hour

5 Package Management using Source Code
1 Hour

1 Introduction to Python
1 Hour

2 Data Types
1 Hour

3 String Handling
1 Hour

4 Data Structure
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 File Handling
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Biopython
1 Hour

1 Introduction to NGS and DNAseq
1 Hour

2 Basic Terminologies in NGS
1 Hour

3 3. QC by fastqc
1 Hour

4 4. Trimming
1 Hour

5 Mapping
1 Hour

6 Variation calling by GATK
1 Hour

7 Understanding of VCF file and Filtration
1 Hour

8 Variant Effect Prediction
1 Hour

9 Variation Visualization
1 Hour

1 Introduction to RNAseq and it’s basic terminologies
1 Hour

2 Tools installation in Linux for Gene Expression analysis
1 Hour

3 Quality control and Trimming of reads
1 Hour

4 Indexing of Genome and Alignment of Reads
1 Hour

5 Normalization of Data (Cufflinks)
1 Hour

6 Merging of Data and Differential expression of genes
1 Hour

7 Understanding of DEG results
1 Hour

8 Annotation of DEG
1 Hour

9 Functional and Pathway Enrichment Analysis
1 Hour

10 Network Analysis
1 Hour

1 Tools installation for De-novo RNAseq
1 Hour

2 Tools installation for De-novo RNAseq
1 Hour

3 Data downlading and Quality control
1 Hour

4 Assembly Creation
1 Hour

5 Abundance count estimation
1 Hour

6 Generation of count matrix and DEG
1 Hour

7 BLAST
1 Hour

8 Understanding the DEG results
1 Hour

9 Annotation of DEGs
1 Hour

10 Encrichment Analysis
1 Hour

1 Introduction to metagenomics
1 Hour

2 Tools installation for metagenomics
1 Hour

3 Data Downloading
1 Hour

4 Quality control & Trimming
1 Hour

5 Data importing in Qimme2
1 Hour

6 Data quality check using DADA2
1 Hour

7 Phylogentic Analysis
1 Hour

8 Taxonomy Analysis
1 Hour

9 Krona Plot
1 Hour

10 Phylogenetic tree construction
1 Hour

1 Drug Discovery and Development Process: Understanding QSAR Principles
1 Hour

2 Introduction to Drug Discovery Process
1 Hour

3 Role of Computational Methods
1 Hour

4 Utilizing Biological Databases and GCP Standards
1 Hour

5 Chemical Structure Visualization
1 Hour

6 Visual Representation of Biological Processes and Structures in Data Analysis
1 Hour

7 Biomolecules- Properties and function
1 Hour

8 Molecular Docking and Molecular Dynamics
1 Hour

9 Pharmacophore Modeling
1 Hour

10 Pharmacophore Modelling applications
1 Hour

1 Machine Learning Fundamentals for Bioinformatics
1 Hour

2 Linear Models and Nearest Neighbors
1 Hour

3 Basics of Probabilistic Machine Learning
1 Hour

4 Implementing Support Vector Machines (SVM)
1 Hour

5 Introduction to Naive Bayes Classifier
1 Hour

6 Decision Tree and Random Forest Classifier
1 Hour

7 Logistic Regression in Bioinformatics
1 Hour

8 Introduction to Clustering Algorithms
1 Hour

9 Validation of Machine Learning Models
1 Hour

10 Machine Learning for Image Analysis
1 Hour

1 Introduction to Statistical Methods for Data Extraction and Preparation in Bioinformatics
1 Hour

2 Exploring Data Characteristics and Distribution: Descriptive Statistics and Data Structures
1 Hour

3 Understanding Correlation and Regression Analysis in Bioinformatics
1 Hour

4 Probability and Bayes Theorem: Foundations for Statistical Inference
1 Hour

5 Sampling Techniques and Distribution Theory in Bioinformatics
1 Hour

6 Hypothesis Testing: Concepts and Methods for Data Analysis
1 Hour

7 Statistical Tools for Data Management, Analysis, and Visualization in Bioinformatics
1 Hour

8 Inferential Statistics: Making Valid Generalizations from Sample Data
1 Hour

9 Interpreting Statistical Outputs for Informed Decision Making in Bioinformatics
1 Hour

10 Practical Applications: Applying Statistical Methods to Solve Bioinformatics Problems
1 Hour

1 Introduction to Data Mining Concepts and Applications
1 Hour

2 Data Preprocessing, Transformation, and Feature Engineering
1 Hour

3 Clustering, Segmentation, and Anomaly Detection
1 Hour

4 Association Rule Mining and Pattern Discovery
1 Hour

5 Evaluating Data Mining Results and Model Interpretation
59 Min

1 Program Design: Principles and Methods
1 Hour

2 Basic Structures for Algorithm Development
1 Hour

3 Efficient vs Naïve Algorithms
1 Hour

4 Structured Programming and Divide and Conquer
1 Hour

5 Object -Oriented Approaches and Greedy Algorithms
1 Hour

1 Introduction to AWS
1 Hour

2 Introduction to Compute Storage Databases
1 Hour

3 Introduction to AWS Services NetworkingSecurity
1 Hour

4 Deployment Strategies on AWS
1 Hour

5 Management Tools for Bioinformatics Workflows on AWS
1 Hour

1 Introduction to SQL (Structured Query Language) for Bioinformatics
1 Hour

2 Basic SQL Syntax and Data Types: Queries, Statements, and Operators
1 Hour

3 Retrieving Data from Relational Databases: SELECT Statements and Filtering
1 Hour

4 Manipulating Data in Relational Databases: INSERT, UPDATE, and DELETE Statements
1 Hour

5 Joining Tables: Understanding INNER JOIN, LEFT JOIN, and other Join Types
1 Hour

6 Aggregating Data: Using GROUP BY and Aggregate Functions in SQL
1 Hour

7 Database Management Tasks: Creating, Modifying, and Dropping Tables
1 Hour

8 Indexing and Optimization Techniques for Database Performance
1 Hour

9 User Management and Security in Relational Databases
1 Hour

10 Backup and Recovery Procedures: Ensuring Data Integrity and Availability
1 Hour

1 Introduction and Installation of R
1 Hour

2 Data Types in R
1 Hour

3 Data Structure
1 Hour

4 File Handling
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 Package Management
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Statistical Analysis
1 Hour

1 Introduction to MIcroarray
1 Hour

2 Introduction to Microarray
1 Hour

3 Data Downloading
1 Hour

4 Microarray Pipeline upto Normalization
1 Hour

5 Microarray Pipeline till DEG
1 Hour

6 Annotation of DEG
1 Hour

7 Encrichment Analysis
1 Hour

8 Network Analysis
1 Hour

9 Volcano Plot
1 Hour

10 Heatmap
1 Hour

Instructor

Dr. Omics (SM)

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489 Students
9 Courses

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This course includes:

  • Live classes

  • For full fee and payment plan details, please contact us at 9310870544

  • Duration

  • Skill Level Advanced

  • Lectures 154 lessons

  • Full lifetime access

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