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ISCB-Africa ASBCB 2019 | November 11-15, 2019 | Kumasi, Ghana | Workshops & Tutorials

Workshops & Tutorials



 Links in this page: Two Day Workshops | Galaxy Africa | Machine Learning & Omics Data
One Day Workshops | New Features of the UCSC Genome Browser | Resources for Mining & Interrogating Large-scale (Genomic and) Epidemiological Datasets | Resources and Tools for Computer-Aided Drug Discovery | H3BioNet


Two Day Workshops

Galaxy Africa 2019
14-15 November

Description
GalaxyAfrica 2019: After a successful GalaxyAfrica2018 in South Africa, we are pleased to announce the next GalaxyAfrica workshop in collaboration with the ASBCB/ISCB Africa conference in Kumasi, Ghana. Building on the previous event, we will offer Galaxy training for researchers, and training for systems administrators who need to maintain a local installation. This year we are calling for abstracts for three oral presentations that demonstrate the use of Galaxy in your research projects.

Intended audience and level
Galaxy Africa will target 2 audience groups:

  1. Those aiming to do bioinformatics on the Galaxy platform. The content for this group will be aimed at an introductory level for prospective bioinformaticians.
  2. Those intending to run Galaxy as a service for their bioinformatics users. The audience here is systems administrators for bioinformatics facilities.


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Machine Learning & Omics Data: Opportunities for Advancing Biomedical Data Analysis
14-15 November

 

Description
Machine learning has emerged as a discipline that enables computers to assist humans in making sense of large and complex data sets. With the drop in cost of sequencing technologies, large amounts of omics data are being generated and made accessible to researchers. Analyzing these complex high volume data is not trivial and the use of classical tools can not explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of medicine and improve health care. The aim of this tutorial is to introduce participants to the Machine learning (ML) taxonomy and common machine learning algorithms, as well as the necessary concepts related to the experimental design. The tutorial will cover the methods being used to analyze different omics data sets by providing a practical context through the use of  basic but widely used  R and Python libraries. The workshop will comprise a number of hands on exercises and challenges, where the participants will acquire a first understanding of the standard ML processes as well as the practical skills in applying them on familiar problems and publically available real-world data sets.

Intended audience and level
This tutorial is aimed towards novices (no prior knowledge / expectations in NGS data analysis or Machine learning). However, participants should be somewhat familiar with:

  • R (base commands)
  • Unix shell (running basic commands)


Participants should bring their own laptops for the practical exercises.

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One Day Workshops

New Features of the UCSC Genome Browser
14 November

 

Description
The UCSC Genome Browser workshop will be a one-day experience consisting of a half day of presentation showing the latest tools and features of this large and complicated online software package.  The afternoon session will be hands-on problem solving to solidify the learning and offer opportunity to discuss participant-generated questions.  Specifically, the new data types, interact and barChart, available for user-generated custom tracks will be presented, as will the very new Genome Browser API.

Intended audience and level    
The session is for bioinformatics professionals and students and molecular biologists, typically at the graduate student level or above.  Participants should have considerable background in Molecular Biology and Genomics and at least a basic understanding of databases.  Some previous familiarity with the Genome Browser will be useful.  The session should be considered intermediate in difficulty.  The session should be considered Intermediate in molecular biology expertise and Introductory/Intermediate in bioinformatics/programming/genomics.

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Resources for Mining & Interrogating Large-Scale (Genomic and) Epidemiological Datasets
14 November

 

Description
EuPathDB.org is a free, online resource intended to empower investigators with tools/materials necessary to interrogate data associated with global infectious disease.  This workshop will introduce users to ClinEpiDB.org focusing on clinical and epidemiological datasets.  the majority of sessions will be hands-on, facilitating understanding of foundational epidemiologic and exploratory data analysis concepts.  Participants should have a basic understanding of epidemiologic research, data collection and data storage but ClinEpiDB is intended for novice data managers or analysts.

Intended audience and level
The ideal participant has a desire to become an expert user of ClinEpiDB, either as a biologist driven by infectious disease, public health or epidemiologic research questions, or as an informaticist interested in exploring available datasets with the potential to carry out novel analysis, or develop new analytical tools for broader distribution (perhaps in partnership with the EuPathgDB team).  Attendees should have a basic understanding of epidemiologic research, data collection and data storage … but note that ClinEpiDB is intended for exploratory data analysis, rather than as a cutting-edge research tool for professional statisticians and epidemiologists.

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Resources and Tools for Computer-Aided Drug Discovery
15 November

 

Description
Advances in computational technologies coupled with rapid growth in available chemical and genomic data provide multifaceted in silico approaches to the discovery of new bioactive compounds for diseases like tuberculosis, malaria, HIV etc that are burdening the world. Supported by the Wellcome Genome Campus Advanced Courses and Scientific Conferences, this introductory level workshop for Postgraduate students and researchers in life sciences, offers participants an overview of computational resources and tools, basic bioinformatics and chemoinformatics techniques used in the early stages of drug discovery as well as data retrieval from related databases. Activities will consist of presentations, demonstrations and practical activities to give participants hands - on exercises.

Intended audience and Learning Outcomes
Postgraduate students and researchers in the life sciences (including the fields of computational biology/chemistry, chemistry, biology etc.). The material is considered introductory. 

By the end of the course, participants will be able to:

  • Describe the drug discovery pipeline and how computational methods are used to facilitate drug discovery and development.
  • Apply homology modelling to calculate 3D protein structures.
  • Retrieve and analyse protein and chemical data from databases such as Protein Data Bank (PDB), ChEMBL, ZINC and perform docking calculations.


Attendance is limited to 30. Participants are expected to bring their own laptops. The course will not cover programming.

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H3BioNet - Data Management
15 November

 

Description
Coming soon.

Intended audience and level
Coming soon.


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