3. genomics
Topic : Genomics
before start the lecture.. #programing is self study region..
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genomic T (totality of the genetic things)
diversity – & variability l (with combination T)
variation.....
also need to know phalogenetic trees...
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geno + enviro => Pheno (GEP/T graph)
geno enviro -> trait or disease...
Gene Complexes -> enviroComplexes PhenoComplex.
with those data... analyzing it PHR & phenotypes...
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prediction problem.... -> why do you study biology???
in research we have to provide algorithm...
exact data + principles & Laws & algorithm
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factor & principles.. in DNA sequencing
to get the exact data in genomics : by Typing & sequencing...
in experiment they spent 90% of the time used to get exact data..
-typing (hybridization-concentration) : grouping
-sequencing : get the sequence data
--> imaging calling -> grep certain sequence... [base calling]
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when you do research,
you need to have abillity for design the experiment...
at that time .... consider : Social & science & technical priority !
in tiger & whale genomics
ways for sequencing : de novo assembly...
snow leopard... -> Hiseq...
mate-sequencing : pair end
cost for tiger gene sequencing : $ 1million
one species was de-novo assemblying with diverse sequence length.
for other gene sequencing with same length (400bp)
-> because one types de-novo assembly sequence can be used as an reference genome.
the result data from olfactory genes...
TYR gene 47 linons... : with different amino acid residue define the color of the creature.
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phylogenetic analysis & divergence time..
for estimating Species differentiation events
-> MRCA : most recent common ancestor..
compared the human and whale genome
-> see the mutation accumulated information.
applying heterogeneity mutation rates with in time
with blast data -> call the number of mutation x total length of sequence x mutation rates.
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others..
when people moves to the island : dwarfism -> even found the genotypes..
hominidae -> 1myr ago...
