The objective of this nanocourse is to encourage students to perform complex bioinformatic and data analysis questions in their own research with a modular and methodical approach. During the first day, students will learn what an algorithm is and be introduced to the concept of algorithmic thinking. Students will learn to take problems relevant to computational biology and craft solutions in the form of flowcharts and general pseudocode. On the second day, students will learn how to transform the flowcharts and general pseudocode into very specific pseudocode. In this second session,...

Single-cell sequencing technologies allow us to study genomes and transcriptomes at the single cell level. These relatively new techniques have expanded our knowledge in a wide range of fields from microbiology to development and cancer biology. This course will provide a general introduction to both RNA and DNA-based single-cell sequencing. We will start with a broad overview of RNA-sequencing in single cells with an emphasis on current and emerging technologies. Subsequent lectures will focus on experimental design for single-cell experiments and common approaches to data analysis....

Light microscopy is a key component of life science research. Many systems are available on the HMS quad to image samples from the nanometric to the macroscopic scale, whether the samples are live or fixed, fluorescent or stained.
This nanocourse aims at refreshing the fundamentals of light and optics, explains the various components of microscopes and basic software controls in order to acquire the best image. We will also discuss the strengths and weaknesses of common microscopes to help you choose the right modality for your experiments.
In the workshop, we will dissect a...

Advances in the AI method of deep learning have the potential to transform how biomedical data is analyzed for research, clinical diagnosis and prognosis. This nanocourse will deliver information and allot guided practice so that anyone can apply the principles and algorithms of deep learning to process and analyze their own biomedical images. The purpose of the course is to deliver practical knowledge of deep learning for image analysis including possibilities, current limitations and challenges. Participants with and without programming experience are encouraged to attend!

...

Course Description and Assignments
Chemotherapy is the cornerstone of modern cancer therapy and is an effective treatment, but is often accompanied by toxicity. In this course we will discuss current chemotherapies and their drawbacks, and we will learn about cutting edge advances in cancer treatment and future goals for the field. We will focus on brain toxicity following chemotherapy, a common condition that influences...

Course Description and Assignments

Single cell and spatial technologies allowed us to surpass granularity and context barriers, revolutionizing cancer research. They permit the investigation of cellular transcriptional programs, tumor clonal evolution, or...

Course Director: John Assad

Course Instructors: Ofer Mazor, Pavel Gorelik

Course description:

Biomedical researchers often use, or even building, experimental rigs consisting of several interconnected electronic instruments. These rigs are typically used to make high-quality recordings of weak biological signals. The goal of this course is to demystify the rig: What does each instrument do? How should they be connected? How does one troubleshoot noise, or adjust settings in a principled way...

Course Description
The field of cancer metabolism has grown tremendously in the past decade, contributing major advancements in our understanding of how to diagnose and treat tumors. Despite this, some of the tools required to study cancer metabolism remain out of reach for many labs. This is particularly true for metabolomics, as it...