“Harnessing Big Data for Precision Oncology”

Leng Han, Ph.D.,

Associate Professor and CPRIT scholar at Texas A&M University,

Institute of Biosciences & Technology

Thursday, February 9, 2023

12:00 – 1:00 PM HST

Zoom Details

Link: https://hawaii.zoom.us/j/92124491501

Meeting ID: 921 2449 1501

Passcode: QHS646

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Dr. Han is an Associate Professor and CPRIT scholar at Texas A&M University, Institute of Biosciences & Technology. Before join TAMU, he is an Assistant Professor at The University of Texas Health Science Center at Houston. Dr. Han obtained his PhD from Chinese Academy of Sciences and did postdoc training with Dr. Joseph C. Wu at Stanford University, and Dr. Han Liang at MD Anderson Cancer Center. Dr. Han’s lab focused on harnessing big data for precision oncology. In the past several years, his labs contributed to RNA-targeted therapy, target therapy and immunotherapy, and published several papers in high profile journals, including Cancer Cell, Nature Metabolism, Nature Immunology, Nature Communications, The Innovation, Cell Systems, Cell Reports, Nucleic Acids Research, Genome Medicine, Journal of the National Cancer Institute. He has been invited to contribute review, commentary and spotlight by multiple journals, including Nature Reviews Clinical Oncology, Nature Biotechnology, Trends in Genetics, Trends in Cancer, Trends in Molecular Medicine, Genome Medicine, and Oncogene. To date, he has published >160 peer-reviewed papers, with a total of > 20,000 citations (Google scholar, H-index = 56).

For more information, contact Dr. Chathura Siriwardhana at Tel. 692-1487 or Email: cksiri@hawaii.edu ; or
Hua Yang at Tel. 692-1661 or Email: yanghua@hawaii.edu

Bioinformatics Data Science Workshops
Sponsored by the Bioinformatics Core
Department of Quantitative Health Sciences
JABSOM, University of Hawaii at Manoa

*All workshops include theory and hands-on practice

The Bioinformatics Data Science Workshops is a four-day virtual workshop from Tuesday, November 29 to Friday, December 2 from 9 am-12 pm HST. If you are interested in participating, please fill out this form. 

Please Register Here: https://forms.gle/yvZhTCZWVaZzi98T7

World Time Buddy (WTB) is a convenient world clock and a time zone converter: https://www.worldtimebuddy.com/

Workshop Day 1: R Programming for Data Science
Date/Time: 9:00 am – 12:00 pm, HST, Nov 29, 2022

          – Introduction and getting started with R

          – Programming with R

          – Simple exploratory analysis

          – Hands-on walkthrough training

Note: Please install R and RStudio on your computer before the workshop.

Workshop Day 2: Using secondary data

Date/Time: 9:00 am – 12:00 pm, HST, Nov 30, 2022   

         – Pros and cons of secondary datasets

         – Individual datasets

         – Learn tools to locate and download secondary data

         – Analyzing complex survey data

Workshop Day 3: Introduction to Python          

Date/Time: 9:00 am – 12:00 pm, HST, Dec 1, 2022           

        – Basic Python Syntax

        – Python Data Structures and Libraries

        – File I/O

        – Data Wrangling

Workshop Day 4: Introduction to Deep Learning

Date/Time: 9:00 am – 12:00 pm, HST, Dec 2, 2022

        – Theory

        – History

        – Basic Examples using R

        – Published Deep Learning Models using PyTorch

There are a limited number of spots available. ZOOM link will be provided after registration. For questions, please email: yanghua@hawaii.edu

Enabling Precision Medicine: Decoding the Human Genome with Deep Learning Models

Speaker: Olga Troyanskaya, PhD

A key challenge in medicine and biology is to develop a complete understanding of the genomic architecture of disease. Yet the increasingly wide availability of ‘omics’ and clinical data, including whole genome sequencing, has far outpaced our ability to interpret these sequences.  Challenges include interpreting the 98% of the genome that is noncoding to identify variants that are functional and may lead to disease, detangling genomic signals regulating cell-lineage-specific gene expression, and mapping the resulting genetic circuits and networks in disease-relevant cell-types to specific phenotypes and clinical outcomes.  I will discuss methods that address these challenges, and highlight their applications to cancer and mental health disorders.

Date: Thursday, October 20, 2022 12:00-1:00 PM HST

Zoom Details

Link:_https://hawaii.zoom.us/j/92124491501

Meeting ID: 921 2449 1501 Passcode: QHS646

For more information contact Dr. Eunjung Lim Tel. 692-1817 or Email: lime@hawaii.edu

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