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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
19 calificaciones
7 revisiones

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 revisiones

JP

May 10, 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 21, 2017

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

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1 - 7 de 7 revisiones para Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

por Tomas R

Feb 24, 2020

This course provides a great overview of the BD2K-LINCS program and demonstrates that it's possible to combine multiple (not very related datasets) to bring new biological insights. Some of these concepts are directly relevant to my job.

I am giving only 4 stars because is seems to me that some later parts of the course are not fully relevant to the overall topic. It would be also very useful to provide several "success stories" how the data was used to; for example, initiate drug discovery.

por Jaspreet S P

Mar 22, 2020

This was a great course getting into the practical domain of the computational biology side. The lecturer was great. But certain topics were brief and the practical assessment test was more focused on different languages like R, JSON, Python and many more. So it is not possible to be jack of all trades. Also everything was perfectly woven with the LINCS project. Kudos to everyone involved in the project.

por Jacqulene P

May 10, 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!

por Musalula S

Jan 21, 2017

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

por Jose M V

Jul 29, 2017

I recommend it, good materials, very instructive and a good level. Very interesting course.

por Hemasree

Sep 19, 2018

excellent oppurtunity for the data science learners

por Ezra L

Feb 28, 2018

Fun, fascinating, and informative!