YHTTAY-24486 High-throughput Data Analysis, 5 cr

Lisätiedot

https://bioinformatics.fi/BIO4450/
The course is only intended for degree students
Ei toteuteta lukuvuonna 2016-2017.

Vastuuhenkilö

Andre Sanches Ribeiro

Opetus

Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
YHTTAY-24486 2016-01 - Andre Sanches Ribeiro
Please visit: https://bioinformatics.fi/BIO4450/

Osaamistavoitteet

After the course, the student can: - compare sequencing and microarray technologies used in high-throughput analysis and choose suitable ones for the analysis required. - explain the principles of measurement technologies covered and how various inherent errors and biases of the measurement techniques affect the analysis. - apply common methods and algorithms to extract information from microarray and sequencing measurements. - discuss the statistical principles underlying the data analysis methods above and identify the benefits and weaknesses of each method. - select suitable algorithms for the analysis and justify the choice. - build data analysis pipelines for microarray and sequencing data analysis.

Sisältö

Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Deep sequencing technologies DNA microarrays Statistical methods for the analysis of high-throughput measurement data Data classification and clustering     

Vastaavuudet

Opintojakso ei vastaan mitään toista opintojaksoa

Päivittäjä: Kunnari Jaana, 01.08.2016