Our Focus
No prior coding experience necessary
We assume no prior coding / computer science knowledge in this course. We go over everything “computer science-y” in a user friendly terminology
Realistic Lesson plans
If everyone could finish a course in one week then we would not need this course. We give you enough time to practice what you learn so that you retain what you learn
CUSTOM CONTENT
Content is customized based on the needs of our students. If students would rather study ChIP-Seq as opposed to Variant Calling, we do that.
Individual Attention
Keeping our class size under 15 students helps us give personalized attention to all students. You also get free tutoring after
About the Course
We start our course by talking about various sequencing platforms and go into detail about experiment design and sequencing technology selection.
In the CS module we introduce students to Linux and the Shell. Students learn about servers and job submission. We talk about sequencing data access and quality control. Students learn programming in R and basic scripting in Linux
Statistics module covers Significance testing (p-value), normalization methods and data distributions. We will discuss in detail about various normalization methods and their applicability for different types of data.
Bioinformatics module is the essence of this course. Having learnt basic computer science and statistics skills we will learn about open source tools (including R packages available in "BioConductor") that help us with specific analyses like ChIP/RNA-seq, Variant/SNP calling and Graphics.
Platforms, Merits of one vs. another, Sequencing background
Linux, Programming in R, Functions, Variables, Data Structures, File Systems, Scripting, Parallel Job Submission, FTP etc.
P-Value, Normalization techniques, Data distributions in the NGS context, Statistical Power
Read Alignment algorithms, Bioconductor packages in R, ChIP/RNA-Seq, Variant / SNP Calling, Genome Browsers, Graphics / Heatmaps, GSEA & Pathway Analysis
OUR TEAM

Vishal Thapar, Ph.D.

Dr. David T. Ting

Martin Aryee, Ph.D.
