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Sunday |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
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8
Welcome Reception and Orientation
6:00- 8:30 p.m.
Hunziker House
Reiman Gardens
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9
Lectures:
9:00-9:50 A1
10:00-10:50 A2
11:20-12:10 B1
Lab:
1:30-5:00
Introduction to Unix and Perl
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10
Lectures:
9:00-9:50 B2
10:00-10:50 B3
11:20-12:10 B4
Lab:
1:30-5:00
Introduction to R
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11
Lectures:
9:00-9:50 C1
10:00-10:50 C2
11:20-12:10 D1
Lab:
1:30-5:00
Genomic Informatics (I)
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12
Lectures:
9:00-9:50 D2
10:00-10:50 D3
11:20-12:10 D4
Lab:
1:30-5:00
Genomic Informatics
(II)
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13
Lectures:
9:00-9:50 E1
10:00-10:50 E2
11:20-12:10 E3
Lab:
1:30-5:00
Molecular Structure
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14
Poster Session of Summer Research Projects
10:00 a.m.- 12:00 p.m.
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Module A: Overview of Bioinformatics and Computational Systems Biology
A1: Orientation and Preview
A2: Bioinformatics and Computational Systems Biology
Module B: Statistical Foundations
B1-B4: Statistical Foundations
Perl
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Module C: Algorithmic Foundations
C1 - C2: Algorithmic Foundations
Module D: Genomic Sequence Analysis
D1: Pairwise Sequence Alignment
D2: Multiple Sequence Alignment and Motifs
D3: Hidden Markov Models
D4: Spliced Alignment
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Module E: Structural Genomics
E1: Computational Biology Needs
E2: Coarse Graining Structures
E3: Structure and Dynamics of Proteins
Lab: Protein Structure 101
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15 |
16
Lectures:
9:00-9:50 F1
10:00-10:50 F2
11:20-12:10 F3
Lab:
1:30-5:00
High Throughput
Data Analysis(I) |
17
Lectures:
9:00-9:50 F4
10:00-10:50 F5
11:20-12:10 F6
Lab:
1:30-5:00
High Throughput
Data Analysis(II)
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18
Lectures:
9:00-9:50 G1
10:00-10:50 G2
11:20-12:10 G3
Lab:
1:30-5:00
Machine Learning |
19
Lectures:
9:00-9:50 G4
10:00-10:50 G5
11:20-12:10 H1
Lab:
1:30-5:00
Introduction to BioPerl
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20
Lectures:
9:00-9:50 H2
10:00-10:50 H3
11:20-12:10 H4
Lunch and Certificate Awards
12:30-2:00
Overview of PubMed Databases
2:15-3:30
Student Visits to Preferred Research Labs
3:30-5:00
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21
Excursion for Continuing Students
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Module F: Functional Genomics
F1: Introduction to Functional Genomics
F2: Metabolomics
F3: Proteomics
F4: Exploratory Data Analysis
F5: MetNet: Software suite for functional analysis
F6: Comparative Genomics
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Module G: Computational Analysis of “Omics” data – Machine Learning Approaches
G1 - G5: Machine Learning Approaches in Bioinformatics and Computational Biology
BioPerl
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Module H: Integrative Systems Biology and Future
PubMed Database
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23 |
24 |
25 |
26 |
27 |
28 |
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29 |
30 |
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