À propos de ce cours
4.5
103 notes
12 avis
An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology....
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Approx. 26 hours to complete

Recommandé : 6-8 hours/week...
Comment Dots

English

Sous-titres : English...
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Clock

Approx. 26 hours to complete

Recommandé : 6-8 hours/week...
Comment Dots

English

Sous-titres : English...

Programme du cours : ce que vous apprendrez dans ce cours

Week
1
Clock
2 heures pour terminer

Course Overview and Introductions

The 'Introduction to Complex Systems' module discusses complex systems and leads to the idea that a cell can be considered a complex system or a complex agent living in a complex environment just like us. The 'Introduction to Biology for Engineers' module provides an introduction to some central topics in cell and molecular biology for those who do not have the background in the field. This is not a comprehensive coverage of cell and molecular biology. The goal is to provide an entry point to motivate those who are interested in this field, coming from other disciplines, to begin studying biology....
Reading
3 vidéos (Total 52 min), 4 lectures, 3 quiz
Video3 vidéos
Introduction to Cell Biology16 min
Introduction to Molecular Biology19 min
Reading4 lectures
Course Logistics10 min
Grading Policy10 min
Resources and Links to Additional Materials10 min
MATLAB License10 min
Quiz3 exercices pour s'entraîner
Introduction to Complex Systems20 min
Introduction to Cell Biology18 min
Introduction to Molecular Biology20 min
Week
2
Clock
2 heures pour terminer

Topological and Network Evolution Models

In the 'Topological and Network Evolution Models' module, we provide several lectures about a historical perspective of network analysis in systems biology. The focus is on in-silico network evolution models. These are simple computational models that, based of few rules, can create networks that have a similar topology to the molecular networks observed in biological systems. ...
Reading
4 vidéos (Total 45 min), 4 quiz
Video4 vidéos
Duplication-Divergence and Network Motifs8 min
Large Size Motifs and Complex Models of Network Evolution10 min
Network Properties of Biological Networks11 min
Quiz4 exercices pour s'entraîner
Rich-Get-Richer14 min
Duplication-Divergence and Network Motifs16 min
Large Size Motifs16 min
Topological Properties of Biological Networks18 min
Week
3
Clock
2 heures pour terminer

Types of Biological Networks

The 'Types of Biological Networks' module is about the various types of networks that are typically constructed and analyzed in systems biology and systems pharmacology. This lecture ends with the idea of functional association networks (FANs). Following this lecture are lectures that discuss how to construct FANs and how to use these networks for analyzing gene lists. ...
Reading
4 vidéos (Total 58 min), 4 quiz
Video4 vidéos
Genes2Networks and Network Visualization16 min
Sets2Networks - Creating Functional Association Networks14 min
Genes2FANs - Analyzing Gene Lists with Functional Association Networks14 min
Quiz4 exercices pour s'entraîner
Types of Biological Networks16 min
Genes2Networks and Network Visualization14 min
Functional Association Networks with Sets2Networks16 min
Functional Association Networks with Genes2FANs16 min
Week
4
Clock
1 heure pour terminer

Data Processing and Identifying Differentially Expressed Genes

This set of lectures in the 'Data Processing and Identifying Differentially Expressed Genes' module first discusses data normalization methods, and then several lectures are devoted to explaining the problem of identifying differentially expressed genes with the focus on understanding the inner workings of a new method developed by the Ma'ayan Laboratory called the Characteristic Direction. ...
Reading
5 vidéos (Total 41 min), 2 quiz
Video5 vidéos
Characteristic Direction Method - Part 18 min
Characteristic Direction Method - Part 27 min
Characteristic Direction Method - Part 310 min
Characteristic Direction Method - Part 45 min
Quiz2 exercices pour s'entraîner
Data Normalization14 min
Characteristic Direction12 min
4.5

Meilleurs avis

par FPJun 3rd 2016

Excellent course to get deep into the data analysis of system biology experimentation.

par CCApr 6th 2016

Its really a very interesting course ,and very informative

Enseignant

Avi Ma’ayan, PhD

Director, Mount Sinai Center for Bioinformatics
Professor, Department of Pharmacological Sciences

À propos de Icahn School of Medicine at Mount Sinai

The Icahn School of Medicine at Mount Sinai, in New York City is a leader in medical and scientific training and education, biomedical research and patient care....

À propos de la Spécialisation Systems Biology and Biotechnology

Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively. The Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project....
Systems Biology and Biotechnology

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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