Learn Bioinformatics (Theory & Practical) 2024

What you'll learn
You will learn Basic Theory & Practical demonstration of Bioinformatics tools
You will learn about Biological Databases and Data Retrieval
You will learn Sequence Analysis (Pairwise and Multiple Sequences)
You will learn Genomic Data Analysis (Assembly & Annotation)
You will learn about Transcriptomics (RNA-Sequencing & Differential Gene Expression Analysis)
You will learn Proteomics (Protein Identification, Quantification & Functional Annotation of Proteins)
You will learn Metabolomics (Metabolite Identification and Pathway Analysis)
Requirements
In online teaching, it's always hard to engage the students. Therefore we have designed this course keeping the psychology of students in view. Usually, students start to lose their interest when they are stuck in a complex concept that's why We tried to move from simple to complex easily and understandably.
You need to know about the very basics of Biological macro-molecules. Do not worry if you do not know the details. For instance, if you just heard the name of DNA, RNA and Proteins and have a basic idea about their roles in life then it's enough for you (School Level Information). You are welcome to this course. In every module of this course, we will take start from very scratch. We will assume that you know nothing about DNA, RNA, and Proteins except their names. We hope this technique will make it easy for you to understand the hardcore concepts of bioinformatics in a better way.
This is no coding in this course. Most of tools which we will use that's available online For Free without Sign Up
Description
This Bioinformatics course is going to game changer for you. Currently, there is an explosion of biological data. Bioinformatics is at the intersection of biology and computer science.What is Bioinformatics ?In biology, bioinformatics is defined as, "the use of computer to store, retrieve, analyze or predict the composition or structure of bio-molecules" . Bioinformatics is the application of computational techniques and information technology to the organization and management of biological data. Classical bioinformatics deals primarily with sequence analysis.Aims of BioinformaticsDevelopment of database containing all biological information.Development of better tools for data designing, annotation and mining.Design and development of drugs by using simulation software.Design and development of software tools for protein structure prediction function, annotation and docking analysis.Creation and development of software to improve tools for analyzing sequences for their function and similarity with other sequencesYou will be using the DNA and protein sequence on-line databases that are the core of bioinformatics. There are two general types of sequence databases: Primary databases contain experimental results in an accessible format, but are not sequences that are a population consensus. DDBJ, EMBL, and GenBank are primary databases. Secondary databases are curated to reflect consensus sequences from multiple experiments and usually use the primary databases as their sources.AbbreviationsDDBJ – DNA Databank of JapanEMBL – European Molecular Biology LaboratoryNCBI – National Center for Biotechnology InformationBLAST – Basic local alignment search toolClustalW2 - Use for Multiple sequence alignment (MSA)This course will be extremely helpful to students of data analyst and bioinformaticians because they use the databases a lot in their work.If you guys have any questions or suggestions please let me know in instructor inbox I'll try to answer all of your questions within 12 hours.
Overview
Section 1: Introduction to Bioinformatics
Lecture 2 Biological Databases and Data Retrieval
Section 2: Sequence Analysis
Lecture 3 Unraveling the Code: DNA and Protein Sequences
Lecture 4 Needleman-Wunsch and Smith-Waterman
Lecture 5 Multiple Sequence Alignment
Section 3: Genomic Data Analysis
Lecture 6 Genomic Data Analysis (Unraveling the Genetic Code)
Lecture 7 Genome Assembly and Annotation (Theory)
Lecture 8 Genome Assembly & Annotations (Practical)
Lecture 9 Variant Calling and SNP Analysis (Theory)
Lecture 10 Understanding Structural Variations and Genomic Rearrangements
Lecture 11 Mutation Identification & SNP Analysis (Practical)
Lecture 12 Mutation Prediction & Verification Tool (Practical)
Section 4: Transcriptomics
Lecture 13 Transcriptomics (Study of all RNA molecules in a cell)
Lecture 14 Transcriptomics Analysis (Gene Cloud Omics Overview)
Lecture 15 RNA Sequencing (RNA-Seq) Theory
Lecture 16 How to Prepare RNA-Seq Datasets (Practical)
Lecture 17 Differential Gene Expression Analysis (Theory)
Lecture 18 Differential Gene Expression Analysis (Practical)
Section 5: Proteomics and Metabolomics
Lecture 19 Understanding Proteomics and Metabolomics
Lecture 20 Protein Identification and Quantification
Lecture 21 Functional Annotation of Proteins
Lecture 22 Proteome Annotations (Practical)
Lecture 23 Metabolite Identification and Pathway Analysis
Beginners from Biological sciences,Data Science beginners who are interested in biological data,Researchers are Encouraged to take this Course.

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