Course in Advance Bioinformatics

DLI Genetic Research and Development Center
In Hyderabad

Price on request
You can also call the Study Centre
93951... More

Important information

Typology Course
Location Hyderabad
Duration 60 Days
  • Course
  • Hyderabad
  • Duration:
    60 Days


Where and when

Starts Location
On request
408, 4th , Floor, Windsor Plaza, Nallakunta, 50004, Andhra Pradesh, India
See map
Starts On request
408, 4th , Floor, Windsor Plaza, Nallakunta, 50004, Andhra Pradesh, India
See map

Course programme

Program details:
For Non Bio student:
Molecular Bio. & bio chemistry - Defining life, Eukaryotic & prokaryotic cells
& their difference, Organ, Tissues, Cell structures, Cellular Organelle, Central Dogmas, Operon, Carbohydrate, lipid & protein metabolism etc.

For Biology student:
Fundamental of computer, Analogue & Digital computer, Generation of computer,
Architecture, Hardware & Software- B Fundamental concept, Operating system- Fundamental, System
Tools M.S. Office package, Conversions system binary, hexa decimal & other, logical

C & Data Structures: DEscription of C, Beginning & history of C, Semantic, Variable,
Operator, Syntax, Loop, Function, Array, Pointer, Memory allocations, Files handling,
Searchings, Sortings, Stack & Queue and more.

P.E.R.L: Description and fundamental of P.E.R.L., variable, number, operator, loop, Array,
Hash, Control structure, File handling, string manipulation, regular expression and more.

D.B.M.S.: Description to Data base & Oracle, different type of biological & non
Biological database, Relational database, D.D.L., D.M.L., S.Q.L. description, Table creations & manipulation with S.Q.L., Joining, Constraint, Query formations & data extractions.

Numerical Method & Optimization Technique (N.M.O.T.):
Description of higher level maths & calculus, Integrations, Differentiations,
Derivative, Partial derivative, Optimization problem and its solution, various
Search method along with G.A., Different type of model of Artificial Neural Network,
Radial Basis Function, Response surface optimizations, Statistical Modeling Designing
of Experiment and other method.

latest Computing Technique (Neural / Evolutionary):
Various type of evolutionary computing method present, Random Walks, Monte
Carlo Simulation, Simulated Annealing, Genetic Algorithm & its applications in protein
Structures related calculation, A.C.O. and its application, G.P. & its application, S.V.M.
And its application.

Parallel Computing:
DEscription of parallel computing, Concept on parallel processor, Shared memory Processor, M.P.I. - send, receive, broadcast, scatter, gather and more., OPEN MP, P.T.H.R.E.AD..S,fork, join, grid technologies.

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