RBT503 BI-I Syllabus
AKTU Biotechnology (BT) RBT-503 BI-I Syllabus for all 5 units are provided below. Download link for BT 5th SEM RBT503 Bioinformatics-I Syllabus is listed down for students to make perfect utilization and score maximum marks with our study materials.
UP Technical University Biotechnology (BT) 5th SEM RBT503 BI-I – Bioinformatics-I Syllabus
Introduction to Bioinformatics; Biological databases: Nucleotide databases, Protein databases,
Specialized databases; Laboratory data submission and data retrieval; Various file formats for
biomolecular sequences: Genbank, EMBL, Fasta, GCG, msf, nbrf-pir etc.; Basic concepts of
sequence similarity: identity and homology, definitions of homologues, orthologues, paralogues;
Sequence patterns and profiles: Basic concept and definition of sequence patterns, motifs,
domains and profiles; various types of pattern representations viz. consensus, regular expression
(prosite-type) and profiles.
Sequence Alignment: Pairwise sequence alignments: Dot matrix for sequence alignment,
Dynamic programming for Local and Global alignment; Multiple sequence alignment:
progressive method and Iterative method; Applications of pairwise and multiple sequence
alignment; Tools for multiple sequence alignment: CLUSTALW and Pileup (Algorithmic
Scoring Matrics: Basic concept of a scoring matrix, Similarity and distance matrix, Substitution
matrices: Matrices for nucleic acid and proteins sequences, PAM and BLOSUM series,
principles based on which these matrices are derived; Sequence-based database searches: Need
of sequence based database search, BLAST and FASTA algorithms, Various versions of basic
BLAST and FASTA, Advance version of BLAST: PHI-BLAST and profile-based database
searches using PSIBLAST.
Phylogenetics: Phylogeny and concepts in molecular evolution; nature of data used in taxonomy
and phylogeny; definition and description of Phylogenetic trees and various types of trees;
Different methods of Phylogenetic tree construction: UPGMA and Fitch-Margoliash Algorithm;
case studies in phylogenetic sequence analysis.
Protein structure prediction: Secondary structure prediction (Statistical method: Chou Fasman
and GOR method, Neural Network and Nearest neighbor method) and Tertiary structures
prediction (Homology Modeling); Structure visualization methods (RASMOL, CHIME etc.);
Protein Structure alignment and analysis. Application of bioinformatics in drug discovery and
Text books and References
1. D.W.Mount; Bioinformatics- Sequence and genome analysis; Cold Spring Harbour Lab
2. B.N.Mishra; Bioinformatics: Concept and application, Pearson Education (in press)
3. O’ Reilly; Developing Bioinformatics computer skills- 1st Indian edition, SPD
4. Anthony J.F. Griffiths et al; An introduction to genetic analysis, 1st Ed.
5. Michael Starkey and Ramnath Elaswarapu; Genomics protocols, Humana press.
6. Stephen Misner & Stephen Kraeetz; bioinformatics- Methods and protocols, Humana
7. Lawrence Hunter –Artificial intelligence & Molecular Biology, free on web
8. Westhead, P; instant notes in bioinformatics; viva publications.
9. Hooman H Rasid; Bioinformatics basics- Application in biological science and medicine;
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AKTU 5th SEM BT BI-I Syllabus
RBT503 Bioinformatics-I Syllabus free download
UP Technical University BT BI-I Syllabus
RBT503 Syllabus, BI-I Unit-wise Syllabus – BT 5th Semester