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ACE 2020 Training Schedule

  • INSTRUCTORS
  • SCHEDULE SURVEY

INSTRUCTORS

Computational Biology Specialists from the National Institute of Allergy and Infectious Diseases (NIAID) will be teaching courses on bioinformatics topics and biocomputing tools.

  • Phil Cruz, Ph.D.*
  • Jingwen Gu, M.S.*
  • Brendan Jeffrey, Ph.D.*
  • Meghan McCarthy, Ph.D.*
  • Mariam Quiñones, Ph.D.
  • Amit Roy, Ph.D.*
  • R. Burke Squires, M.S.*
  • Poorani Subramanian, Ph.D.*
  • Claire Wang, M.S.*
  • Instructors provide bioinformatics support at the NIAID as employees of Medical Science and Computing, Inc.

SCHEDULE(S)

Uganda Bioinformatic Training - 2020

Date Instructor Topic Course Date (british format)
3-Feb-2020 Dan Veltri Intro to Deep Learning (TensorFlow and Keras) Big Bio-data Analysis (Artificial Intelligence and Machine Learning) 03.02.2020
6-Feb-2020 Kurt Wollenberg Dynamic programming and Alignment algorithms Principles of Sequence analysis and Phylogenetics 06.02.2020
10-Feb-2020 Dan Veltri Intro to Deep Learning (TensorFlow and Keras) Big Bio-data Analysis (Artificial Intelligence and Machine Learning) 10.02.2020
13-Feb-2020 Kurt Wollenberg Natural selection, genetic drift and measures of genetic diversity Molecular Evolution 13.02.2020
14-Feb-2020 Kurt Wollenberg Introduction to phylogenetics and phylogenetic tree inference methods (e.g. parsimony and Maximum Likelihood) Principles of Sequence analysis and Phylogenetics 17.02.2020
20-Feb-2020 Eric Karlins Linkage Disequilibrium Population Genetics & Genomics 20.02.2020
21-Feb-2020 Yunhua Zhu Gene Regulatory Networks Systems Biology 2 21.02.2020
24-Feb-2020 Dan Veltri Intro to Deep Learning (TensorFlow and Keras) Big Bio-data Analysis (Artificial Intelligence and Machine Learning) 24.02.2020
27-Feb-2020 Yunhua Zhu Gene Regulatory Networks Systems Biology 2 27.02.2020
28-Feb-2020 Kurt Wollenberg Hardy-Weinberg Equilibrium, Basic Population Genetics Coalescent Models Population Genetics & Genomics 28.02.2020
2-Mar-2020 Dan Veltri Common machine learning algorithms: Supervised learning, Unsupervised learning Big Bio-data Analysis (Artificial Intelligence and Machine Learning) 02.03.2020
5-Mar-2020 Dan Veltri Common machine learning algorithms: Supervised learning, Unsupervised learning Big Bio-data Analysis (Artificial Intelligence and Machine Learning) 05.03.2020
6-Mar-2020 Kurt Wollenberg Calculating evolutionary distances among sequences and correction models Molecular Evolution 06.03.2020
9-Mar-2020 Burke Squires Introduction to Biopython Python 09.03.2020
12-Mar-2020 Isaac Bishof Network Structural Analysis Systems Biology 2 12.03.2020
13-Mar-2020 Kurt Wollenberg Coalescent analysis and populations Principles of Sequence analysis and Phylogenetics 13.03.2020

SURVEY

Coming soon...

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African Centers of Excellence (ACE) Training for 2020

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