AIR20(GATE Biotech, 2017)
DBT-JRF(Category-I fellowship, 2016)
AIR19 (GATE Biotech, 2012)
AIR10 (CSIR-NET Life Sciences, 2011)

Malini Sundar Rajan

In this course, Malini Sundar Rajan discusses the basic concepts and Tools of bioinformatics. The course will be beneficial for GATE (Biotechnology) aspirants.

English

Bioinformatics for GATE (Biotechnology)

Overview of the course, target audience and topics list.

Overview Lesson

Why should you study bioinformatics? I take you on a time travel because otherwise this gets boring.

Introduction, History and Scope of Bioinformatics

Ever wondered why we use mice, flies, worm, and other animals in research? This lesson is for you.

Model Organisms in Biology: Part 1

Why do we use mice in some experiments, but flies or worms in others? What is the use of studying yeast or bacteria? Find out here.

Model Organisms in Biology: Part 2

Introduction to databases 
Biological databases 
Primary and secondary databases 
Nucleotide sequence DB with special focus on DNA databases

Biological Databases: Part 1

Gene expression databases, Phenotype databases, RNA databases. 

Recap of central dogma of molecular biology

Biological Databases: Part 2

Protein sequence and protein structure databases 
Function databases 

Brief review of protein structure hierarchy

Biological Databases: Part 3

In this lesson I begin the topic sequence analysis and introduce the different file formats for sequence data.

Sequence Analysis: Part 1

Introduction to resources and tools in bioinformatics. 
Why should we study about sequence analysis and tools in bioinformatics? Visit this lesson to find out

Resources and Tools in Bioinformatics

Sequence analysis : Part 2

BLAST, FASTA, PSI-BLAST, similarity, homology, homologs, paralogs, orthologs.

Sequence Analysis : Part 3

Multiple Sequence Alignment,  Phylogenetic tree, Maximum Parsimony, Maximum Likelihood, Neighbor Joining, Bootstrap, Jackknife

Sequence Analysis : Part 4

Law of conservation of mass, 
Thermodynamics principles

Molecular Dynamics and Simulations : Part1

Molecular Dynamics and Simulations : Part 2

Genome, genomics, annotation, challenges in annotation, gene prediction software, annotation pipeline

Data Mining and Analytics Tools for Genomics and Proteomics: Part 1

Markov Chains and Hidden Markov Models (HMM)

Data Mining and Analytics Tools for Genomics and Proteomics - Part 2

Data Mining and Analytical Tools in Genomics and Proteomics - Part 3

Data Mining and Analytical Tools in Genomics and Proteomics - Part 4

Yeast two hybrid assay 
Mass spectrometry

Data Mining and Analytical Tools in Genomics and Proteomics - 5

Previous years bioinformatics questions and answers

Lessons

20 lessons • 3h 58m

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Overview Lesson

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Introduction, History and Scope of Bioinformatics

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Model Organisms in Biology: Part 1

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Model Organisms in Biology: Part 2

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Biological Databases: Part 1

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Biological Databases: Part 2

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Biological Databases: Part 3

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Sequence Analysis: Part 1

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Resources and Tools in Bioinformatics

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Sequence analysis : Part 2

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