Bioinformatics for Precision Oncology

Precision medicine is changing the way we understand, diagnose and treat cancer. The transformation is driven by high-throughput molecular data from patients, animal models, and large-scale experiments. In this program, we will explore how the various -omics data types can be analyzed to understand the basic biology associated with cancer onset, development, and outcomes and see how large-scale clinical trials and experiments provide an opportunity to improve precision oncology. More about the program and the schedule is found here: https://edu.t-bio.info/bioinformatics-training-precision-oncology/

June 10, 2019

Introduction to Precision Oncology

June 10, 2019 - June 17, 2019
  • Cancer biology challenges (organs, tissues, cells) - Justin D June 10, 2019
  • Molecular factors in tumor development, growth and metastasis - Justin DJune 13, 2019
  • Clinical and Molecular Data (phenotype-genotype relationship) - Justin D June 17, 2019
Associated online course/resource: https://www.ncbi.nlm.nih.gov/books/NBK20362/
June 20, 2019

Introduction to Big Data Bioinformatics

June 20, 2019 - June 27, 2019
  • From Hypothesis Testing to Data Mining - Mohit M.June 20, 2019
  • Statistics and Algorithms - Pratim C. June 24, 2019
  • T-BioInfo Platform and relevant analysis methods - Sahil S June 27, 2019
Introduction to Bioinformatics

Introduction to Bioinformatics

Introduction to big data bioinformatics and its uses in basic research
July 1, 2019

Next Generation Sequencing - Genomics (DNA Variants and Mutations)

July 1, 2019 - July 8, 2019
  • Processing (germline and somatic mutations) - Pratim C.July 1, 2019
  • Analysis (mapping, detecting variants) - Pratim C. July 3, 2019
  • Interpretation (significant and insignificant mutations, etc.) - Justin July 8, 2019
Transcriptomics 1

Transcriptomics 1

From raw reads to an expression table – basics of processing NGS data Monthly evaluation and discussion of issues
July 11, 2019

Next Generation Sequencing - Transcriptomics

July 11, 2019 - July 18, 2019
  • Processing (mapping, quantification) Sahil SJuly 11, 2019
  • Analysis (differential gene expression, factor regression analysis) - Sahil SJuly 15, 2019
  • Interpretation (gene ontologies and Gene Set Enrichment Analysis) - Justin D July 18, 2019
July 22, 2019

Data sources for raw data and databases

July 22, 2019 - July 29, 2019
August 1, 2019

Project Design and proposal

August 1, 2019 - August 8, 2019
  • Scientific Inquiry and Translational Value - Justin D Aug 1, 2019
  • Example 1: Breast Cancer - classification of subtypes (cell lines) - Mohit M. Aug 5, 2019
  • Example 2: Liver Cancer - risks and molecular factors (TCGA) - Sahil S Aug 8, 2019

We will use this workshop as an opportunity to invite faculty and students interested to find out more about the programs and resources for LA Tech.

More Information About the Bioinformatics for Precision Oncology Curriculum:

To learn more or get help on the curriculum, time requirements, and other questions, please contact us: info@t-bio.info

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Bioinformatics for Precision Oncology
$135.00
42 Days

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Precision medicine is changing the way we understand, diagnose and treat cancer. The transformation is driven by high-throughput molecular data from patients, animal models, and large-scale experiments. In this program, we will explore how the various -omics data types can be analyzed to understand the basic biology associated with cancer onset, development, and outcomes and see how large-scale clinical trials and experiments provide an opportunity to improve precision oncology. More about the program and the schedule is found here: https://edu.t-bio.info/bioinformatics-training-precision-oncology/
Transcriptomics 3
Transcriptomics 2
Transcriptomics 1
Introduction to Bioinformatics

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