Classes

    Algorithmic Thinking: How you should be thinking about your data

    Semester: 

    Spring

    Offered: 

    2019

    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,...

    Read more about Algorithmic Thinking: How you should be thinking about your data

    Single-Cell Sequencing: Experimental Design, Analysis, and Practical Applications

    Semester: 

    Spring

    Offered: 

    2019

    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....

    Read more about Single-Cell Sequencing: Experimental Design, Analysis, and Practical Applications

    Optics and Light Microscopy for Life Sciences: Introduction

    Semester: 

    Spring

    Offered: 

    2019

    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...

    Read more about Optics and Light Microscopy for Life Sciences: Introduction

    Deep Learning for Biomedical Image Analysis

    Semester: 

    Spring

    Offered: 

    2020

    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!

    ...

    Read more about Deep Learning for Biomedical Image Analysis

    Toxicity of Cancer Therapy - Lessons from Metabolomics

    Semester: 

    Spring

    Offered: 

    2020

    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...

    Read more about Toxicity of Cancer Therapy - Lessons from Metabolomics

    Electronics and Signal Processing for Experimental Rigs

    Semester: 

    Spring

    Offered: 

    2021

    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...

    Read more about Electronics and Signal Processing for Experimental Rigs