Download Using bioinformatics for better understanding of genes amplify

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Non-coding RNA wikipedia , lookup

Human genome wikipedia , lookup

Long non-coding RNA wikipedia , lookup

Epigenetics of diabetes Type 2 wikipedia , lookup

Transposable element wikipedia , lookup

Epigenetics of neurodegenerative diseases wikipedia , lookup

Public health genomics wikipedia , lookup

Epitranscriptome wikipedia , lookup

Epigenetics in learning and memory wikipedia , lookup

Gene therapy wikipedia , lookup

Minimal genome wikipedia , lookup

Transcription factor wikipedia , lookup

Epigenomics wikipedia , lookup

Gene desert wikipedia , lookup

Biology and consumer behaviour wikipedia , lookup

Gene expression programming wikipedia , lookup

Genetic engineering wikipedia , lookup

Genome (book) wikipedia , lookup

Gene nomenclature wikipedia , lookup

Non-coding DNA wikipedia , lookup

Point mutation wikipedia , lookup

History of genetic engineering wikipedia , lookup

NEDD9 wikipedia , lookup

Metagenomics wikipedia , lookup

Pathogenomics wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Nutriepigenomics wikipedia , lookup

Epigenetics of human development wikipedia , lookup

Genome evolution wikipedia , lookup

Gene expression profiling wikipedia , lookup

Vectors in gene therapy wikipedia , lookup

Gene wikipedia , lookup

Primary transcript wikipedia , lookup

RNA-Seq wikipedia , lookup

Genomics wikipedia , lookup

Genome editing wikipedia , lookup

Designer baby wikipedia , lookup

Helitron (biology) wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

Therapeutic gene modulation wikipedia , lookup

Microevolution wikipedia , lookup

Transcript
Using bioinformatics for
better understanding of
genes
Becky Seipelt
Karla Marriott
Arlin Toro
Vilma Martinez
Roger Lui
http://artedi.ebc.uu.se/course/BioInfo-10p-2006/projects/katarzyna/bioinformatics.jpg
DNA

Promoters
Gene finding
Variation
Probability
DOGMA
1. Gene finding
RNA
 PROTEIN
Transcription
Splicing
Editing
Modifications
Human Gene
Variation
Translation
Editing
Modifications
Structure
Complexes
 Function  phenotype
Structure
Complexes
Ideas
A FEW Resources
TRANSLATE
2. Case study using a normal and
a known mutant gene
Proposed activities
Becky Seipelt, Middle
Tennessee State University
[email protected]
•Honors Genetics (BIOL3250H)
•2 blocks of 3 hours
•Sophomore-seniors, mostly
sophomores
•Transcription and translation
“learned” at least twice, perhaps
more
•Goals:
•deeper understanding of
processes and regulation
•more engaged students
• Active learning activity
– Perhaps animation comparison
• Give a small sequence file with 2-5
genes within.
• Ask students to figure out how the
cell “knows” where a gene is, i.e.,
where to start and stop
transcription, and where to start
and stop translation.
• Introduce ‘gene finding’
algorithms for comparison
(DOGMA)
• Ask students to compare how
“we” and nature differ?
Lab exercise-Mitochondrial DNA Analysis
http://www.edvotek.com/images/332.jpg
Students will use
DOGMA to identify
genes that they
amplify with PCR
Working with the Sequence
Blast and other analysis
evolutionary problems
How this project using DOGMA will help me teaching
my genetics course
The next time I teach the part of
genomes and proteomes in my
genetics
course,
in
the
explanation of
comparative
genomics, I can show similarities
between different genomes and
introduce them the evolutionary
relationships between organisms
of different species and the
information that some species
are more related than others.
Computational and systems biology
7-week course.
For comp. bio. part, either do sequence
alignment problem if more math majors OR
bioinformatics using data and software
available on the web like what I have
learned in this conference.
• Development of new course targeting seniors and
juniors
• Involves lecture and laboratory
• Research- DNA sequencing, translation and
transcription to protein
• Using software such as DOGMA, Translate, BLAST