Candidates who are going to participate in
the examination firstly download the BINC Syllabus from the official website
The Candidates who are going to appear for
the exam has to have an idea about the syllabus. We have stated below the
subjects which will be included in the exam.
Read: Online Test Series
This syllabus is very significant to the
aspirants who are planning to gain victory in the first stage. Successful
completion of the written examination will open the route for the final
selection. You have to prepare well by using exam pattern and syllabus. Firstly
read carefully and patiently the complete syllabus.
The Strong point will boost your morale and
weak points will inspire you to put extra efforts on such point.
Details
about BINC Syllabus 2017:
Name of the Exam: Bioinformatics National Certification Exam
Mode of Application: Online.
Category: Exam pattern and Syllabus
Syllabus:
BINC BioInformatics Syllabus – Basic
Major
Bioinformatics Resources: NCBI, EBI, ExPASy, RCSB
The knowledge of various databases and
bioinformatics tools available at these resources, organization of databases:
data contents and formats, purpose and utility in Life Sciences
Open access bibliographic resources and
literature databases:
Open access bibliographic resources related
to Life Sciences viz., PubMed, BioMed Central, Public Library of Sciences
(PloS), CiteXplore
Sequence
databases: Formats, querying and retrieval; Nucleic
acid sequence databases: GenBank, EMBL, DDBJ; Protein sequence databases:
Uniprot-KB: SWISS-PROT, TrEMBL, UniParc; Repositories for high throughput
genomic sequences: EST, STS GSS, etc.; Genome Databases at NCBI, EBI, TIGR,
SANGER – Viral Genomes; Archeal and Bacterial Genomes; Eukaryotic genomes with
special reference to model organisms (Yeast, Drosophila, C. elegans, Rat,
Mouse, Human, plants such as Arabidopsis thaliana, Rice, etc.)
Structure
Database: PDB, NDB, PubChem, ChemBank
Read: Computer Basic Knowledge
Knowledge of the following databases with respect to: basic concept of derived databases, sources of primary data and basic principles of the method for deriving the secondary data, organization of data, contents and formats of database entries, identification of patterns in given sequences and interpretation of the same – Sequence: InterPro, Prosite, Pfam, ProDom; Structure: FSSP, DSSP
Extraction of knowledge from resources on Immunology, Plant, animal and infectious diseases: databases and servers published in the NAR Database and Web server Issues and other Bioinformatics journals viz. BMC Bioinformatics etc.
Sequence Analysis
Various file formats for bio-molecular sequences: GenBank, FASTA, GCG, MSF etc
Basic concepts of sequence similarity, identity and homology, definitions of homologues, orthologues, paralogues and xenologues
Basic concepts of sequence similarity, identity and homology, definitions of homologues, orthologues, paralogues and xenologues
Scoring matrices: basic concept of a scoring matrix, Matrices for nucleic acid and proteins sequences, PAM and BLOSUM series, principles based on which these matrices are derived
Database Searches: Keyword-based Entrez and SRS; Sequence-based: BLAST & FASTA; Use of these methods for sequence analysis including the on-line use of the tools and interpretation of results from various sequence and structural as well as bibliographic databases
Pairwise sequence alignments: basic concepts of sequence alignment, Needleman and Wunsch, Smith and Waterman algorithms for pairwise alignments, gap penalties, use of pairwise alignments for analysis of Nucleic acid and protein sequences and interpretation of results
Multiple sequence alignments (MSA): the need for MSA, basic concepts of various approaches for MSA (e.g. progressive, hierarchical etc.). Algorithm of CLUSTALW and PileUp and their application for sequence analysis (including interpretation of results), concept of dandrogram and its interpretation
Sequence patterns and profiles: Basic concept and definition of sequence patterns, motifs and profiles, various types of pattern representations viz. consensus, regular expression (Prosite-type) and sequence profiles; profile-based database searches using PSI-BLAST, analysis and interpretation of profile-based searches
Taxonomy and phylogeny: Basic concepts in systematics, taxonomy and phylogeny; molecular evolution; nature of data used in Taxonomy and Phylogency, Definition and description of phylogenetic trees and various types of trees
Protein and nucleic acid properties: Computation of various parameters using proteomics tools at the ExPASy server, GCG utilities and EMBOSS
Comparative genomics: Basic concepts and applications, whole genome alignments: understanding significance. Artemis as an example
Structural
Biology
Proteins: Principles of protein structure; anatomy of proteins – Hierarchical
organization of protein structure – Primary. Secondary, Super secondary,
Tertiary and Quaternary structure; Hydrophobicity of amino acids, Pacing of
protein structure, van der Waal and Solvent accessible surface, Internal
coordinates of proteins; Derivation, significance and applications of
Ramachandran Map, protein folding
DNA
and RNA: types of base pairing – Watson-Crick and
Hoogstein; types of double helices A, B, Z and their geometrical as well as
structural features; structural and geometrical parameters of each form and
their comparison; various types of interactions of DNA with proteins, small
molecules
RNA secondary and tertiary structures,
t-RNA tertiary structure
Carbohydrates: The various building blocks (monosaccharides), configurations and
conformations of the building blocks; formations of polysaccharides and
structural diversity due to the different types of linkages
Glyco-conjugates: various types of glycolipids and glycoproteins
Structure
analysis and validation: PDB Goodies, Procheck, ProsaII,
PDBsum
3-D
structure visualization and simulation:
Visualization of structures using Rasmol or SPDBV or CHIME or VMD
Concepts of force fields: representations of atoms and atomic interactions, potential energy representation
Classification
and comparison of protein 3D structures:
Purpose of 3-D structure comparison and
concepts, Algorithms such as FSSP, CE, VAST and DALI, Fold Classes
Databases of structure-based
classification; CATH and SCOP
Secondary
structure prediction: Algorithms viz. Chou Fasman,
GOR methods; analysis of results and measuring the accuracy of predictions
using Q3, Segment overlap, Mathew’s correlation coefficient
Tertiary
Structure prediction: Fundamentals of the methods
for 3D structure prediction (sequence similarity/identity of target proteins of
known structure, fundamental principles of protein folding etc.) Homology
Modeling, fold recognition, threading approaches, and ab-initio structure
prediction methods
Fundamentals of docking small and
macromolecules to proteins and nucleic acids
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