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Volver a Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

Opiniones y comentarios de aprendices correspondientes a Big Data Science with the BD2K-LINCS Data Coordination and Integration Center por parte de Escuela Icahn de Medicina del Monte Sinaí

4.8
estrellas
23 calificaciones

Acerca del Curso

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....

Principales reseñas

JS

9 de may. de 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

20 de ene. de 2017

A very practical courses. Very good introduction to Big Data sources and Computational Analysis tool.

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1 - 8 de 8 revisiones para Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

por Tomas R

24 de feb. de 2020

por Jaspreet S P

22 de mar. de 2020

por Musalula S

21 de ene. de 2017

por Jacqulene P S S

10 de may. de 2020

por Jose M V

29 de jul. de 2017

por Dong A

25 de oct. de 2022

por Nagasai H

19 de sep. de 2018

por Ezra L

27 de feb. de 2018