课程概述
The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more. These perturbations are applied to various types of human cells including induced pluripotent stem cells from patients, differentiated into various lineages such as neurons or cardiomyocytes. Then, to better understand the molecular networks that are affected by these perturbations, changes in level of many different variables are measured including: mRNAs, proteins, and metabolites, as well as cellular phenotypic changes such as changes in cell morphology. The BD2K-LINCS Data Coordination and Integration Center (DCIC) is commissioned to organize, analyze, visualize and integrate this data with other publicly available relevant resources. In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.
热门审阅
JS
May 9, 2020
Excellent course! Thoroughly enjoyed learning from these excellent instructors. With very little prior knowledge on the topic, the course was quite easy to follow and very well explained!
MS
Jan 20, 2017
A very practical courses. Very good introduction to Big Data sources and Computational Analysis tool.
筛选依据：
1 - 大数据科学与 BD2K-LINCS 数据协调和集成中心 的 8 个评论（共 8 个）
创建者 Tomas R
•Feb 24, 2020
创建者 Jaspreet S P
•Mar 22, 2020
创建者 Musalula S
•Jan 21, 2017
创建者 Jacqulene P S S
•May 10, 2020
创建者 Jose M V
•Jul 29, 2017
创建者 Dong A
•Oct 25, 2022
创建者 Nagasai H
•Sep 19, 2018
创建者 Ezra L
•Feb 27, 2018
Coursera Footer
© 2022 Coursera Inc.保留所有权利。
