Data-Driven Life Sciences

Unlocking the Code of Life: Where Data-Driven Science Meets Future Biology

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Data-Driven Life Sciences

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✨ Learning data-driven life sciences with

Lecture
Computer Lab
Journal Club

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Course Schedule

Important dates Course start: Tuesday 27 August 2024 - Course start: Tuesday 27 August 2024 Lectures, Computer Labs and Journal Clubs will be held online via Zoom. You can add the Google Calendar via this link: Google Calendar

Module 3 [1 ECTS] - Bioinformatics and Metagenomics

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Final Project: Hackathon at SciLifeLab - for course participants and DDLS fellows

Start date: Week 41 (9th October 2024) Join us at the DDLS Hackathon at SciLifeLab in Solna, where course participants will choose and collaborate on a range of projects provided by us.

Module 6 [1 ECTS] - Computational Modeling and Automated Scientific Discovery

.profile-photo { width: 150px; /* Adjust the width as needed */ height: auto; /* This keeps the aspect ratio of the image */ display: block; margin-left: auto; margin-right: auto; } Start date: Week 40 (1st October 2024)

Module 5 [1 ECTS] - Single Molecule Analysis and Tissue Atlases

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Module 1 [0.5 ECTS] - Introduction to DDLS, AI and ChatGPT

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Module 2 [1 ECTS] - Advanced AI Techniques in Biological Systems

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Module 4 [1 ECTS] - AI in Bioimage Analysis

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📊 HT2024: Data-driven Life Sciences

📊 HT2024: Data-driven Life Sciences

Course content of the Data-driven Life Sciences course offered in 2024.

Module 3: Super-Resolution Microscopy and Analytics to Investigate Complex Cellular Processes and Diseases

Lecture by Juliette Griffié (DDLS Fellow) on 12th Sept, at 08:00-10:00.

Module 4: Computational Methods in Evolution and Biodiversity

We will join the Computational Methods in Evolution and Biodiversity workshop in Stockholm University, participate in lectures by Serge Belongie, Katie E. Lotterhos, Tobias Andermann (DDLS Fellow) et al. on 21st Sept. The computer lab will happen on the same day in the afternoon.

Module 5: Multi-omics Data Analysis and BioImage Analysis and Deep Learning

Lecture by Wen Zhong (DDLS Fellow) and Estibaliz Gómez de Mariscal (PhD)

Module 2: Generative AI and its Applications in Life Sciences

We will introduce the basics of generative AI and its potential in life science. We will also cover recent trend of using generative large-language models and practical skills on how to use ChatGPT for reading, writing, planning and code generation. Lecture by Wei Ouyang (DDLS Fellow) on 5th Sept.

Module 6: Model Construction and Features of Alphafold2

Lecture by Darko Mitrovic (PhD) on 3rd Oct.

Module 1: Introduction to DDLS and machine learning

We will introduce the concept of data-driven life sciences and the data life cycle, the course and the different modules, and some basics about using ChatGPT. Lecture by Wei Ouyang on 29th August.

📊 HT2023: Data-driven Life Sciences

📊 HT2023: Data-driven Life Sciences

Course content of the Data-driven Life Sciences course offered in 2023.

Prerequisites

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.

Course Schedule

Important dates Course start: 29 August 2023 Course registration deadline: 4 September 2023 Course end: 6 October 2023 Exam: 11 October 2023 & 25 October 2023 NOTE: The schedule is subject to change, please keep an eye on the email announcement and the updated schedule HERE (which may differ from the schedule at KTH course web).

Prerequisites

Be prepared As prerequisites for the course, we recommend that you have a look at the following resources: Please have a look at the SciLifeLab Data-Driven Life Science (DDLS) initiative website to understand what data-driven life sciences are, and how Sweden is investing in this area.

📊 HT2022: Data-driven Life Sciences

📊 HT2022: Data-driven Life Sciences

Course content of the Data-driven Life Sciences course offered in 2022.

Final DDLS Project

Final project plan and report for the DDLS course.

Meet the Team

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Wei Ouyang

Teacher / Examiner

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Nils Mechtel

PhD Student

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Songtao Cheng

PhD Student

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