Skip to main content

Fourth Semester M.Sc. Degree Examination, May 2020BotanyBO 241 BIOINFORMATICS(2013 Admission Onwards)

Reg. No.:.......
Name:.........
J-4881
Fourth Semester M.Sc. Degree Examination, May 2020
Botany
BO 241 BIOINFORMATICS
(2013 Admission Onwards)
Max. Marks: 75

I.Answer the following questions.

1.What are Secondary biological databases?
2.What is a Locus?
3. State the importance of E-value in sequence alignment?
4.Write the expansion of PHYLIP.
5. Distinguish proteome and proteomics.
6. Describe optimal alignment.
7.Define clade in a phylogenetic tree.
8.What is PIR?
9. List out any two tool used for molecular docking.
10. Write the name of submission tool for NCBI.
(10 x 1=10 Marks)


II. Answer the following questions in not more than 50 words.

11. (a) Give a short note on GenBank format.
OR
(b) Write the difference between scaled and unscaled phylogenetic trees.

12. (a) What are the two classes of data of UniProt?
OR
(b) State the difference between Orthologous and Xenologous sequences

13. (a) Write a brief note on character based phylogenetic analysis.
OR
(b) What is the role of NCBI in maintaining sequence database?

14. (a) Briefly explain genome annotation.
OR
(b) What are the desirable qualities of a lead compound?

15. (a) What do you mean by Gen-SNIP?
OR
(b) Differentiate global and local alignment.
(5 x 2 = 10 Marks)

III. Answer the following questions in not more than 150 words.

16. (a) Database heterogeneity is very common in bio-databases. How would you classify biodatabases based on the sources of data?
OR
(b) Explain the importance of Bioinformatics.

17. (a) Give detail about Chou-Fasman/GOR method of protein structure prediction.
OR
(b) Explain Bioinformatic tools for secondary structure prediction of a protein.

18. (a) PDB is considered to be one of the most important resources for bioinformatician. Why?
OR
(b) How tertiary structure of protein is predicted?

19. (a) Briefly explain transcriptomics.
OR
(b) What is Clustal W? How is it useful in multiple sequence alignment?

20. (a) What are the major extensions of BLAST? Highlight the major areas of their applications.
OR
(b) Enumerate the role of Mass spectrometry in protein identification.

21. (a) Write the importance of scoring matrices in sequence analysis.
OR
(b) Give a note on AutoDock and molegro virtual docker.
22. (a) Discuss about any one gene prediction tool.
OR
(b) How will you differentiate structural and functional genomics?

(7 x 5 = 35 Marks)

IV. Answer the following questions in not more than 250 words

23. (a) Bioinformatics has grown to such an extent that the time and space in developing and testing drugs has reduced significantly. Substantiate this argument by CADD.
OR
(b) Outline the impact of proteomics and genomics in the field of Bioinformatics.

24. (a) Explain sequence alignment. Describe the tools used for Sequence Analysis.
(b) Give a note on following:
BioPerl
GRAIL
Treeview
KEGG
Gold  
(2 x 10 = 20 Marks)



Comments

Popular Posts

❥NORTHERN BLOTTING

NORTHERN BLOTTING – 30 MARK DETAILED NOTES  𓆞❥ 𓆞❥ 𓆞❥ 𓆞❥ 𓆞❥ 𓆞 ❥ 𓆞❥ 𓆞❥  Northern blotting is a molecular biology technique used to detect specific RNA molecules in a complex mixture. It provides information about gene expression, RNA size, and transcript abundance by hybridizing RNA with a labeled complementary DNA or RNA probe. 📌 Named by analogy to Southern blotting (DNA detection). 2. Principle The principle of Northern blotting is based on: Separation of RNA molecules by size using denaturing agarose gel electrophoresis Transfer (blotting) of separated RNA onto a nylon or nitrocellulose membrane Hybridization of membrane-bound RNA with a labeled complementary probe Detection of RNA–probe hybrids by autoradiography or chemiluminescence ✔ Only RNA sequences complementary to the probe will be detected. 3. Types of RNA Analyzed mRNA (most common) rRNA tRNA miRNA and siRNA (with modified protocols) 4. Requirements / Materials Total RNA or poly(A)+ RNA Denaturing agarose ...

Biological Databases – Types of Data and DatabasesNucleotide Sequence Databases (EMBL, GenBank, DDBJ)

Biological Databases – Types of Data and Databases Nucleotide Sequence Databases (EMBL, GenBank, DDBJ) 1. Introduction Biological databases are systematic, computerized collections of biological information that allow efficient storage, retrieval, updating, and analysis of large volumes of biological data. With the advent of genome sequencing, molecular biology, and bioinformatics, biological databases have become essential tools in biological research. These databases support studies in genomics, proteomics, evolutionary biology, taxonomy, medicine, agriculture, and biotechnology. 2. Types of Data Stored in Biological Databases Biological databases store diverse types of biological information, including: 1. Sequence Data DNA sequences RNA sequences Protein sequences 2. Structural Data Three-dimensional structures of proteins Nucleic acid structures 3. Functional Data Gene functions Enzyme activity Regulatory elements 4. Genomic Annotation Data Gene location Exons, introns Promoters a...

Information retrieval from databases - search concepts, Tools for searching, homology searching, finding Domain and Functional site homologies

Information retrieval from databases - search concepts, Tools for searching, homology searching, finding Domain and Functional site homologies Information Retrieval from Databases 1. Introduction Information retrieval in bioinformatics refers to the process of extracting relevant biological data (DNA, RNA, protein sequences, structures, or functional information) from databases. Aim : Identify sequences, functions, or structural features for analysis, comparison, and annotation. Databases can be primary (raw sequence data) or secondary/derived (annotated, processed data). 2. Search Concepts in Biological Databases 2.1 Types of Searches Exact Match Search Returns results only if the query exactly matches database entries. Useful for known accession numbers or IDs. Pattern/Keyword Search Searches based on specific motifs, keywords, or annotations. Example: “kinase domain,” “signal peptide.” Similarity/Homology Search Detects sequences similar to the query based on sequence alignment. Use...

❃HPLC – High Performance Liquid Chromatography

HPLC – High Performance Liquid Chromatography ┏━━━━━ •❃°•°❀°•°❃•━━━━•━━━┓  1. Introduction High Performance Liquid Chromatography (HPLC) is an advanced analytical technique used for the separation, identification, and quantification of components present in a mixture. It is based on the differential distribution of analytes between a stationary phase and a liquid mobile phase under high pressure. HPLC is widely used in biochemistry, biotechnology, pharmaceuticals, food analysis, environmental studies, and clinical diagnostics. 2. Principle of HPLC The principle of HPLC is based on partition, adsorption, ion-exchange, or size-exclusion mechanisms, depending on the type of column used. A liquid mobile phase is pumped at high pressure through a column packed with fine stationary phase particles Sample components interact differently with the stationary phase Components with stronger interaction elute slower Components with weaker interaction elute faster Separated components are detec...

Exploitation of Somaclonal and Gametoclonal Variations for Plant Improvement

Exploitation of Somaclonal and Gametoclonal Variations for Plant Improvement  1. Introduction Plant tissue culture often induces genetic and epigenetic variations among regenerated plants. These variations, when stable and heritable, can be exploited as a source of novel traits for crop improvement. Somaclonal variation: Variation arising in plants regenerated from somatic cells cultured in vitro. Gametoclonal variation: Variation arising in plants regenerated from gametic cells (anther, pollen, ovule culture). Both provide additional genetic variability beyond conventional breeding. 2. Somaclonal Variation 2.1 Definition Somaclonal variation refers to genetic variation observed among plants regenerated from somatic tissue cultures, such as callus, suspension cultures, or explants. Term coined by Larkin and Scowcroft (1981). 2.2 Sources of Somaclonal Variation Chromosomal changes Aneuploidy Polyploidy Chromosome rearrangements Gene mutations Point mutations Insertions and deletions...

Microbial Production of PharmaceuticalsSomatostatin, Humulin and Interferons

Microbial Production of Pharmaceuticals Somatostatin, Humulin and Interferons 1. Introduction Advances in recombinant DNA technology have enabled microorganisms to produce human therapeutic proteins safely, economically and in large quantities. Microbial systems such as Escherichia coli and yeast (Saccharomyces cerevisiae) are widely used for the production of pharmaceuticals that were earlier isolated from human or animal tissues. Important microbial-derived pharmaceuticals include somatostatin, human insulin (Humulin) and interferons. 2. Advantages of Microbial Production of Pharmaceuticals High yield and rapid production Cost-effective and scalable Free from animal pathogens Consistent product quality Easy genetic manipulation 3. General Steps in Microbial Production of Recombinant Pharmaceuticals Isolation of target gene Construction of recombinant DNA Insertion into suitable vector Transformation into host microorganism Expression of protein Downstream processing and purification ...