Subject: Subject Sylbus: Genomic Data Science - 138047 (Current)

Genomic Data Science - 138047
Credit
Points
3.0
 
Given In
Semester
a
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 2      

Determination of the grade according to progress during the semester and the submission of the final thesis


Prerequisites ( General Genetics 134020
and Molecular Biology 134082
and Biostatistics for Biologists 134154
and Introduction to Bioinformatics 236523 )
 
Identical Courses Genomic Data Science 138046


The Course Will Introduce the Students to Modern Bioinformatics Programming, Accessing Public Genomic Data and Performing State-of-the-Art Genomic Computational Analyses. Throughout the Course, the Students Will Experience Analyzing Different Types of Genome-Scale Data, Including Gene Expression, Epigenetics and Machine-

Learning Outcomes
At the End of the Course the Student Will Be Able to:
1. Code in R and Use Different Libraries to Perform Advanced Analyses.
2. Download Different Types of Genomic Data from Public Resources, Run a Complete Analytic Pipeline and Extract Insights from the Data._
3. Use Statistical Tools to Extract Insights That Are Robust and Significant.


Timetable to semester 01/2022 2202/2023 Winter Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
230αιεμεβιδ11:30-13:30ThursdayDr. Aran DvirLecture1010
230αιεμεβιδ13:30-15:30Thursday Exercise10


Textbooks
PublishedPublisherAuthorsBook
2021chapman and hall/crcrafael a. irizarry, michael i. lovedata analysis for the life sciences
2020online book online book computational genomics with r

Created in 29/09/2022 Time 00:51:31