Informações sobre o curso
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Aprox. 27 horas para completar

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100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 27 horas para completar

Sugerido: 6-8 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

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.

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3 vídeos ((Total 52 mín.)), 4 leituras, 3 testes
3 videos
Introduction to Cell Biology16min
Introduction to Molecular Biology19min
4 leituras
Course Logistics10min
Grading Policy10min
Resources and Links to Additional Materials10min
MATLAB License10min
3 exercícios práticos
Introduction to Complex Systems20min
Introduction to Cell Biology18min
Introduction to Molecular Biology20min
Semana
2
2 horas para concluir

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.

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4 vídeos ((Total 45 mín.)), 4 testes
4 videos
Duplication-Divergence and Network Motifs8min
Large Size Motifs and Complex Models of Network Evolution10min
Network Properties of Biological Networks11min
4 exercícios práticos
Rich-Get-Richer14min
Duplication-Divergence and Network Motifs16min
Large Size Motifs16min
Topological Properties of Biological Networks18min
Semana
3
2 horas para concluir

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.

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4 vídeos ((Total 58 mín.)), 4 testes
4 videos
Genes2Networks and Network Visualization16min
Sets2Networks - Creating Functional Association Networks14min
Genes2FANs - Analyzing Gene Lists with Functional Association Networks14min
4 exercícios práticos
Types of Biological Networks16min
Genes2Networks and Network Visualization14min
Functional Association Networks with Sets2Networks16min
Functional Association Networks with Genes2FANs16min
Semana
4
1 hora para concluir

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.

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5 vídeos ((Total 41 mín.)), 2 testes
5 videos
Characteristic Direction Method - Part 18min
Characteristic Direction Method - Part 27min
Characteristic Direction Method - Part 310min
Characteristic Direction Method - Part 45min
2 exercícios práticos
Data Normalization14min
Characteristic Direction12min
4.5
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Principais avaliações do Análise Integrada em Biologia Sistêmica

por FPJun 3rd 2016

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

por CCApr 6th 2016

Its really a very interesting course ,and very informative

Instrutores

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Avi Ma’ayan, PhD

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

Sobre Escola de Medicina Icahn do Hospital Monte 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....

Sobre o Programa de cursos integrados Biologia de sistemas e biotecnologia

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....
Biologia de sistemas e biotecnologia

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