Title: Using Bioinformatics to Make the Bio-Math Connection
1Using Bioinformatics to Make the Bio-Math
Connection
- The Confessions of a Biology Teacher
2Math? In a Biology Classroom?
I know what you are thinking, and Ive just
written an algorithm that proves it is very
effective.
3- "Complex assemblies of interacting proteins
carry out most of the interesting jobs in a cell,
such as metabolism, DNA synthesis, movement and
information processing. These physiological
properties play out as a subtle molecular dance,
choreographed by underlying regulatory networks.
To understand this dance, a new breed of
theoretical molecular biologists reproduces these
networks in computers and in the mathematical
language of dynamical systems." (From "Network
dynamics and cell physiology", by Tyson, Chen,
and Novak, Nature Reviews in Molecular Cell
Biology, 2001.).
4bioinformatics
The use of mathematical and informational
techniques to solve biological problems by using
computer programs. One of the main applications
of bioinformatics is the data mining in and
analysis of the data gathered in genome projects.
Other applications are amino acid and nucleic
acid sequence alignment, protein structure
prediction, and virtual evolution.
5Biology Student Workbench
- revolutionary web-based tool
- allows biologists to search protein and DNA
databases around the world - integrated with access to a wide variety of
analysis and modeling tools, all within a point
and click interface.
6Outcomes and Observations
- Integration of bioinformatics into the high
school classroom using inquiry methods was
successful. - Students were able to use the tools to generate
real data, but more importantly were able to
apply these applications and independently
problem solve.
- Students showed a greatly increased ability to
make connections between units of study protein
structure, protein function, nucleic acids,
genetics, genetic disease, and evolution.
7Student Interface to the Biology Workbench (BSW)
- alternative interface to the Biology Workbench
orientated towards interactive teaching and
learning
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12BLASTN MATH
- Aligns the original strand with other strands
AGCGT -CAGT AGCGT C-AGT AGCGT CA-GT AGCGT CAG-T
AGCGT CAGT- AGCG-T C--AGT -AGCGT C--AGT AGC-GT --CAGT
- Numerous possibilities exist, but which
alignment is the best? - A scoring criterion must be devised to
evaluate the quality of an alignment. - For example, the alignment may be scored based
on the following criterion - 2 for each alignment of matched letters
- -1 for each alignment of mismatched letters
- -2 for each alignment of a letter with a gap
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18Protein Tools
- May also do protein searchesNdjinn
- May look for similar proteinsBLASTP
- Protein tools are more reliable for looking at
evolutionary relationships
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24Clustal Distance Matrix
- (1) (2) (3) (4) (5)
(6) - (1) 0.000 0.000 0.007 0.000 0.021 0.028
- (2) 0.000 0.000 0.007 0.000 0.021 0.028
- (3) 0.007 0.007 0.000 0.007 0.028 0.035
- (4) 0.000 0.000 0.007 0.000 0.021 0.028
- (5) 0.021 0.021 0.028 0.021 0.000 0.028
- (6) 0.028 0.028 0.035 0.028 0.028 0.000
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27Rooted Tree
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30Unrooted Tree
31Graph Theory
- A connected graph without a cycle is a tree.
http//people.hofstra.edu/geotrans/eng/ch2en/meth2
en/ch2m1en.html
32Biology Uses
- Find compare DNA sequences
- Translate DNA into an amino acid sequence
- Find compare protein sequences
- Look at evolutionary relationships
- Draw trees
33Math Uses
- Alignments
- Matrixes
- Graphs
- Combinatorics
34- "The slippery gooiness of biology is a
consequence of its incredible complexity,
consisting as it does of complex systems based
upon chemistry. And chemistry obeys the rules of
physics, which exists because of, and is
consequently best described by, mathematics."
(From the Mathematics in Biology page at
Brandeis.)