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What is Bioinformatics?. National Institute of Health (NIH) : Research, development, or application of computational tools and approaches for expanding the use of acquisition, storage, organization, archiving, analysis, or visualization of: biological data medical data behavioral data

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slide1

What is Bioinformatics?

  • National Institute of Health (NIH) :
  • Research, development, or application of computational tools and approaches for expanding the use of acquisition, storage, organization, archiving, analysis, or visualization of:
  • biological data
  • medical data
  • behavioral data
  • health data
bioinformatics interdisciplinary science
Bioinformatics Interdisciplinary Science
  • Natural and Health Sciences
  • Computer Science
  • Mathematics
  • Statistics
natural and health sciences
Natural and Health Sciences
  • Genomics : analyze or compare the entire genetic complement of a species or species
  • Proteomics: defines the "proteome" as: "the Protein complement of the genome“
  • Pharmacogenomics: is the application of genomic approaches and technologies to the identification of drug targets.
  • Pharmacogenetics: All individuals respond differently to drug treatments; some positively, others with little obvious change in their conditions and yet others with side effects or allergic reactions.
  • Cheminformatics: "the combination of chemical synthesis, biological screening, and data-mining approaches used to guide drug discovery and development“
  • Medical Informatics: "implementation of structures and algorithms to improve communication, understanding and management of medical information."
slide4
Primary sequence databases
    • EMBL (European Molecular Biology Laboratory nucleotide sequence database at EBI, Hinxton, UK)GenBank (at National Center for Biotechnology information, NCBI, Bethesda, MD, USA)DDBJ (DNA Data Bank Japan at CIB , Mishima, Japan)
  • Protein sequence databases
    • SWISS-PROT (Swiss Institute of Bioinformatics, SIB, Geneva, CH)
    • TrEMBL (=Translated EMBL: computer annotated protein sequence database at EBI, UK)
    • PIR-PSD (PIR-International Protein Sequence Database, annotated protein database by PIR, MIPS and JIPID at NBRF, Georgetown University, USA)
    • UniProt (Joined data from Swiss-Prot, TrEMBL and PIR)
    • UniRef (UniProt NREF (Non-redundant REFerence) database at EBI, UK)
    • IPI (International Protein Index; human, rat and mouse proteome database at EBI, UK)
  • Carbohydrate databases
    • CarbBank (Former complex carbohydrate structure database, CCSD, discontinued!)
  • 3D structure databases
    • PDB (Protein Data Bank cured by RCSB, USA)EBI-MSD (Macromolecular Structure Database at EBI, UK )
    • NDB (Nucleic Acid structure Datatabase at Rutgers State University of New Jersey , USA)
computer science
Computer Science

Development:

  • DATA SEARCH TOOLS
  • DATA VISUALIZATION TOOLS
  • DATA MINING AND CLUSTERING APPLICATIONS
  • ENTERPRISE SOLUTIONS
  • DATAWAREHOUSING

Statistical Algorithms

Neural Networks

Genetic algorithms

Nearest neighbor method

Rule induction

Data visualization

Synchronous Tree Construction

Hidden Markov Models

Bayesian Informatics

undergraduate studies
Undergraduate Studies

Areas of Concentration

Computer Science

  • C++
  • JAVA
  • PERL
  • PHP
  • UNIX
  • Database
  • Data mining algorithms

Life Sciences

Genetics

Molecular Biology

Organic Chemistry

Biochemistry

biostatistics
Biostatistics
  • Biostatistics: The development of statistical principles and methods and their application to problems in the medical, biological, and health sciences.
  • Epidemiology
  • Bioinformatics
  • Medical informatics.
biostatistics1
Biostatistics

Biostatistics I

Incomplete data; life tables; nonparametric methods; parametric models; accelerated failure time models; proportional hazards models; partial likelihood; advanced topics.

Biostatistics: II

Likelihood and linear regression; generalized linear model; Binomial regression; case-control studies; dose-response relations; Poisson regression; Gamma regression; quasi-likelihood models; estimating equations; multivariate GLMs.

Biostatistics III

Biostatistician Methods and Models for one of the following: Genetics, Bioinformatics and Genomics; Longitudinal or Functional Data; Clinical Trials and Experimental Design Environmental Data; Dose-response, Nutrition and Toxicology; Survival Analysis; Observational Studies and Epidemiology; Computer-intensive or Bayesian methods

computational biology
Computational Biology

National Institute of Health (NIH) : Simulation techniques to the study of the development and application of data-analytical and theoretical methods, mathematical- and computational-modeling

  • Biological systems
    • Molecular Biology
  • Behavioral systems
    • Neural Systems
  • Social systems
    • complex socio-technical systems
more computational application areas
More Computational application Areas
  • Computational Chemistry-Physics

Modeling:

    • Movement and function of electrons in molecules
    • Quantum mechanical effects
    • Catalysis & combustion
    • Nanoscience
    • Neurochemistry.
careers
Careers
  • The range of starting salaries tends to increase with the level of training.
  • Bachelor $ 50-60 K
  • Masters $ 60-100 K
  • PhD $ 80-125 K
    • Jobs

Graduate Studies

Bioinformatics

Biometrics and Biostatistics

bioinformatics minor tracks

Majors

Biology with Minor in Bioinformatics

CS with Minor in Bioinformatics

Math

Computer science

Biology

Chem.

MAT 152 Statistics

CS 231 CS I

BIO foundations

Chemistry I

MAT 211 Calculus I

CS 232 CS II

Cell BIO

Chemistry II

MAT 253 Discrete Math

CS-308 Database

Genetics

Organic Chemistry

Bioinformatics

Bioinformatics Minor Tracks