5th Sem, Biotech

BTC501: Bioinformatics Syllabus for BT 5th Sem 2018 Pattern Mumbai University

Bioinformatics detailed syllabus scheme for Biotechnology (BT), 2018 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For all other Mumbai University Biotechnology 5th Sem Syllabus 2018 Pattern, do visit BT 5th Sem 2018 Pattern Scheme. The detailed syllabus scheme for bioinformatics is as follows.

Bioinformatics Syllabus for Biotechnology TE 5th Sem 2018 Pattern Mumbai University

Bioinformatics

Prerequisites:

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Course Objectives:

  • To develop skills of the Students in the area of Bioinformatics particularly to make them to learn all the techniques used with biological data.
  • To study various databases of DNA & Proteins along with current bioinformatics concepts & their implementation.
  • To help students easily handle proteins by studying in detail about protein structure.
  • To become knowledgeable about the storage, retrieval, sharing and use of biological data, information, and tools.

Course Outcomes:

By learning this course the students will be able to :

  • Cast a molecular biology problem as a bioinformatics problem.
  • Select relevant tools, optimize their settings and build pipelines to solve the set problem.
  • Easily extract the required data from a given set of data & similarly be able to store it.
  • Use conventional softwares and web-based applications.
  • Analyze processed data with the support of analytical and visualization tools.

Module 1

Introduction to bioinformatics: Types of biological data, Sequencing Methods: DNA (Maxim Gilbert Method, Sangers Method) & Protein (MS-MSAnalysis), Genomic Sequencing, ESTs and SNPs, Applications of bioinformatics. 06

Module 2

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Module 3

Alignment: Global Alignment, Local Alignment Pair Wise Sequence Alignment: Dot Matrix Alignment. Dynamic programming Methods: Needleman Wunch Algorithm, Smith Waterman Algorithm. Heuristic Method: BLAST, FASTA Amino Acid Substitution Matrices: PAM, BLOSSUM Multiple Alignment: CLUSTAL WPhylogenetic Analysis 10

Module 4

Visualization: Methods for representing biological data, Rasmol, Swiss PDB, 3D Structure Viewers. 04

Module 5

Proteins: Structure, Classification, Classification databases. Protein Structure prediction: Primary Structure Prediction, Secondary Structure Prediction, Tertiary Structure Prediction, Homology Modelling, Chao-Fasman Algorithm, Neural Networks, Ab-Initio Modelling, Fold recognition (Threading.

Module 6

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Assessment

Internal

  • Assessment consists of two tests which should be conducted at proper intervals.

End Semester theory examination

  • Question paper will comprise of 6 questions each carrying 20 questions.
  • Total 4 questions need to be solved
  • Question no.1 will be compulsory based on entire syllabus wherein sub questions can be asked.
  • Remaining questions will be randomly selected from all the modules
  • Weightage of marks should be proportional to number of hours assigned to each module

Reference Books:

  1. Oreilly , Developing bioinformatics computer skills, Shroff publishers, 1st Indian edition
  2. David mount, Bioinformatics sequence and genome analysis, CBS publishers, 2nd edition
  3. N. Gautam , Bioinformatics databases & algorithm, Narosa publication
  4. S. Ignacimuthu S.J, Basic bioinformatics, Narosa publications
  5. T. K. Attwood, Introduction to bioinformatics, Pearson education, 8th reprint
  6. S. C. Rastogi, Bioinformatics concepts, skills & applications, CBS publishers, 1st edition

For detail syllabus of all other subjects of Biotechnology (BT) 5th Sem 2018 regulation, visit BT 5th Sem Subjects syllabus for 2018 regulation.

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