Diploma in Computational Method for Sequence Analysis

Diploma

In Coimbatore

Price on request

Description

  • Type

    Diploma

  • Location

    Coimbatore

Goals: The goal of this course is to introduce the main principles of bioinformatics. The. coverage will include concepts like sequence alignments, phylogenetic trees, and. structure prediction. Objectives: Understand Genomic data acquisition and analysis, comparative and. predictive analysis of DNA and protein sequence, Phylogenetic inference etc

Facilities

Location

Start date

Coimbatore (Tamil Nādu)
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Bharathiar University, Coimbatore, 641046.

Start date

On request

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Course programme

Subject description :This paper describes how to acquire information from biological
databases, use of computational approaches to analyze this information, and interpret the
results as a guide to experiments in biology.
Goals: The goal of this course is to introduce the main principles of bioinformatics. The
coverage will include concepts like sequence alignments, phylogenetic trees, and
structure prediction.
Objectives: Understand Genomic data acquisition and analysis, comparative and
predictive analysis of DNA and protein sequence, Phylogenetic inference etc
UNIT-I
Introduction to bioinformatics, Classification of biological databases, Biological data
formats, Application of bioinformatics in various fields. Introduction to single letter code
of aminoacids, symbols used in nucleotides, data retrieval- Entrez and SRS.
UNIT-II
Introduction to Sequence alignment. Substitution matrices, Scoring matrices - PAM and
BLOSUM. Local and Global alignment concepts, Dot plot. Dynamic programming
methodology: Needleman and Wunsch algorithm. Smith-Waterman algorithm. Statistics of alignment score. Multiple sequence alignment. Progressive alignment. Database search
for similar sequences using FASTA and BLAST Programs.
UNIT-III
Evolutionary analysis: distances, Cladistic and Phenetic methods. Clustering Methods.
Rooted and unrooted tree representation. Bootstrapping strategies, Use of Clustal and
PHYLIP.
UNIT-IV
Gene finding methods. Gene prediction: Analysis and prediction of regulatory regions.
Fragment assembly. Genome sequence assembly, Restriction Mapping, Repeat Sequence
finder.
UNIT-V
Concepts of secondary structure prediction of RNA and Protein. Probabilistic models:
Markov chain, Hidden Markov Models-other applications.

Diploma in Computational Method for Sequence Analysis

Price on request