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101 6,8-Mar. Discussion of algorithms for exact matches Hashing, Binary trees a,c,g,t = 00, 01, 10, 11 log2(N)= 34 N=target sequence length e.g. 3E9 m=total of query lengths, E9 people * 30E9bp(5X) O(mN) vs O(mlogN) = E29 vs E21. 101 6-Mar To do list draft. 1. Mike: Bioweather HapMap

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101 6,8-Mar

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101 6 8 mar

101 6,8-Mar

Discussion of algorithms for exact matches

Hashing, Binary trees

a,c,g,t = 00, 01, 10, 11

log2(N)= 34

N=target sequence length e.g. 3E9

m=total of query lengths, E9 people * 30E9bp(5X)

O(mN) vs O(mlogN) = E29 vs E21


101 6 mar to do list draft

101 6-Mar To do list draft

1. Mike: Bioweather HapMap

2. Chris Code HapMap-OMIM + PG processing

3. Resmi: Prob of disease lifetime NHS access

4. Kay: Regulatory elements conserved

5. Hettman: Modeling C sequestration Cyanob. SALP.model geographical – pump nutrients up.

6. Cynthia: Disease host coevol

7. Tiffany: Flu 1918 smRNA 1800 sequences TIGR. map

8. Deniz: Z^n(mod4) Clustering Metagene. Universal sequence library.

9. Xiaodi : image patterns UI find order

10. Katie: talk Broad. Anticip. GenePattern. Algorithms for string matching

11. Zach: environ allerg corr SNPs 500K Entrez compare with random admixture


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