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Statistical Reference-Free Genomics Solves Myriad Problems in Bioinformatics - 2023

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Bioinformatics Courses Genomics Courses Statistical Analysis Courses Cancer Research Courses Sequencing Courses

Course Description

Overview

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Explore a groundbreaking statistical reference-free genomics approach that revolutionizes bioinformatics problem-solving in this 43-minute conference talk by Julia Salzman at the Computational Genomics Summer Institute (CGSI) 2023. Delve into the innovative SPLASH algorithm and its implementation, which unifies detection across various genomic applications including cancer research, human disease studies, and non-model organism analysis. Learn how this method surpasses traditional techniques like Pearson's chi-square test, offering a more efficient and scalable solution for discovering novel insights in raw sequencing data. Gain insights into the algorithm's applications in RNA splicing analysis and its potential to reveal previously unrecognized transcriptomic complexity in human single cells. Understand the motivations behind developing such methods and their critical importance in advancing genomic science.

Syllabus

Introduction
Splash
Ground penetrating radar
Is sequencing itself
What are we looking at today
Cancer
Human disease
Nonmodel organisms
What is Splash
Sample vs Sequence
Unified Detection
RNA Splicing
Notation Anchor Target
Splash Algorithm
Splash Algorithm Implementation
Pop Quiz
First pvalue
Pearsons chisquare
Oasis
Chisquared
Questions
Motivations
Importance of Methods


Taught by

Computational Genomics Summer Institute CGSI

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