QuBi @ Hunter College www.hunter.cuny.edu/qubi What is QuBi ? - - PowerPoint PPT Presentation

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QuBi @ Hunter College www.hunter.cuny.edu/qubi What is QuBi ? - - PowerPoint PPT Presentation

New Programs in Quantitative Biology: QuBi @ Hunter College www.hunter.cuny.edu/qubi What is QuBi ? Quantitative Biology - An initiative to join computational and quantitative disciplines to the analysis of biological data. - Bioinformatics,


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www.hunter.cuny.edu/qubi

New Programs in Quantitative Biology:

QuBi @ Hunter College

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www.hunter.cuny.edu/qubi

What is QuBi?

  • Quantitative Biology
  • An initiative to join computational and

quantitative disciplines to the analysis of biological data.

  • Bioinformatics, computational biology
  • Exciting, multidisciplinary field with many

career options

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www.hunter.cuny.edu/qubi

Benchwork Data Analysis & Interpretation

Traditional Biological Research

HighThroughput Benchwork DATA DATA DATA DATA DATA DATA DATA DATA DATA DATA

Quantitative Biological Research

Analysis & Interpretation

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QuBi @ Hunter College

  • Hunter has excellence in Quantitative

Biology given existing departmental, faculty, and infrastructural strengths.

  • We have revised our curriculum to have

Quantitative Biology concentrations in 5 majors (Biology, Chemistry, Computer Science, Mathematics, Statistics)

  • The National Institutes of Health (NIH)

and Hunter College have recognized this excellence with grants and student scholarship support

Excellent Student Opportunities at Hunter!

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Student Support

  • QuBi Scholarships
  • MARC
  • Harcourt Fellows
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Research & Career Options

  • Work with Hunter Faculty on

Exciting Research Projects

  • Prepare for Graduate Work or a

Career in Fields including:

  • Computational Biology
  • Biostatistics
  • Protein Chemistry/Pharma
  • Biological Software Engineering
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www.hunter.cuny.edu/qubi

QuBi Faculty Research

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CS Research in QuBi

  • Mneimneh: Computational approaches to

study RNA-RNA Structure prediction

  • ptimal folding of
RNA1
  • ptimal folding
  • f
RNA2

6

RNA folding and interaction (each one is optimal)

4

non-optimal folding of RNA1 non-optimal folding of RNA2

RNA folding and interaction (each one is non-optimal)

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Optimal structure for RNA1 and RNA2

RNA folding and interaction (but better together)

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Chem Research in QuBi

  • Kawamura: Genomic Screening using Microarray Data

GeneChip profiling Cell treatment

  • 2. Find the compounds that regulate the surrogate biomarkers

Identify surrogate markers of therapeutic effects

Fractionation Treatment w/ fractions Real time PCR

Identification of active compounds Genes up or down

Kawamura, A. et al. Bioorg. Med. Chem. Lett., 2006, 16, 2846. Kawamura, A. et al. Bioorg. Med. Chem. Lett., 2007, 17, 6879. Herbal medicine Herbal medicine

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Bio Research in QuBi

  • Qiu: Comparative Genomics
  • f Lyme Disease
  • Identification of

Virulence Genes and Vaccine Targets

  • Development of Web-Tools

for Visualizing Genome Differences

  • borreliagenome.org
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The QuBi Curricula

  • Concentrations within the Biology,

Chemistry, Computer Science, Mathematics, Statistics Majors

  • Within each Major, these QuBi

Concentrations are multidisciplinary, drawing on new and existing courses

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Example QuBi Course

STAT319: Bayesian Inference in the Sciences

  • Modeling Biological

Variables:

  • Markov Chains: sequence of

nucleotide base pairs in DNA

  • Hidden Markov chain Models:

coding vs. non-coding regions in DNA

  • Small class (12-15 students)

allows for individualized attention and mentoring

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Example QuBi Course

CHEM388: Chemical Genomics

  • Chemical and computational tools for

genomics and proteomics research with two main themes:

  • Molecular visualization of three

dimensional structures of macromolecules (proteins, DNA, etc.) as well as small molecules (drugs, etc.)

  • Chemical and computational tools for

genomics and proteomics analysis.

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Example QuBi Course

BIOL425: Computational Molecular Biology

  • QuBi Capstone Course
  • Hands On Learning
  • Bioinformatics Theory &

Applications to:

  • Gene Prediction
  • Protein Structure Prediction
  • Molecular Phylogenetics
  • Gene Expression Analysis
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Some QuBi Facilities

UNIX Lab BIOL100 Lab BioSAM Lab

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QuBi Advisors

Steiper Anthro Teller CS Draghicescu Math Qiu Bio Talih Stats Alaie Bio Mneimneh CS Kawamura Chem

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Please go to the website to contact any of the faculty advisors or send email to Veronica Lichman, QuBi Grant Administrator at vlichman@hunter.cuny.edu