COMPUTATIONAL BIOLOGY SCSB4223

By Rohayanti Hassan (PhD)

Introduction of Computational Biology

Why Computational Biology?

Why Computational Biology?

Do you know, these data belong to?

Do you know, these data belong to?

Computational Biology?

• Computational biology involves the development and application of data-analytical and theoretical

methods, mathematical modeling and computational simulation techniques to the study of biological,

behavioral, and social systems.

• The field is broadly defined

and includes foundations

in computer science, applied

mathematics, animation, statist

ics,biochemistry, chemistry, bio

physics, molecular

biology, genetics, genomics, ec

ology, evolution, anatomy, neuroscience, and visualization.

The Challenges

Biological Data

Enjoy this video:

Cellular Visions the Inner Life of a Cell

Nuclei, proteins and lipids move with bug-like authority, slithering,

gliding and twisting through 3D space. "All of those things that you see in the animation are going on in every one of your cells in your body

all the time," says XVIVO lead animator John Liebler

Computational Solution

Computational Solution

1. Pre-Analytics• Discretization• Binning• Normalization• Standard Deviation• Feature Selection• Feature Ranking• etc

2. Post-Analytics• Supervised Learning• Unsupervised Learning• Probabilistic Method• etc

OutputBiological Data

Current Trend? BIG DATA? DATA SCIENCE

Prospect as a Data Scientist

8 Data Skills to Get You Hired

Basic Tools Basic Statistics

Machine Learning

Multivariable Calculus

and Linear AlgebraData Munging

Data Visualization &

Communication

Software

Engineering Thinking Like

A Data

Scientist