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CNWY41160

Academic Year 2024/2025

Statistical Analysis of Proteomic Mass Spectrometric Protein Identification Data (CNWY41160)

Subject:
Conway Institute
College:
VP - Research, Innov & Impact
School:
UCD Conway Institute
Level:
4 (Masters)
Credits:
3
Module Coordinator:
Professor Matthias Wilm
Trimester:
Summer
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Pass/Fail (GPA Neutral)

Curricular information is subject to change.

To learn how to use modern mass spectrometric protein analysis tools in biological and medical research.

About this Module

Learning Outcomes:

- Using the programme MaxQuant to identify and quantify proteins from mass spectrometric data
- Using the programme Perseus to correctly analyse protein expression profiles on a statistical basis
- Using the programme Perseus to correctly analyse protein phosphorylation patterns on a statistical basis
- Learning to recognise data quality limits that can render a statistical analysis impossible
- Learning how to use Data Independent Analysis techniques (DIA) to increase reproducibility in mass spectrometric experiments
- Learning how to use DIA-NN to analyse DIA data
- Differentiating between the requirements in the analysis of protein identification data, clinical and protein modification data

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

8
Autonomous Student Learning

26
Lectures

6
Total

40

Approaches to Teaching and Learning:
Peer work, group work

Requirements, Exclusions and Recommendations
Learning Requirements:

-.Basic understanding why a statistical analysis is required
-.Basic understanding what a statistical test is
-.Basic understanding what a p-value is


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

Not yet recorded.

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Peer review activities

How will my Feedback be Delivered?

During the practical part of the course

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