Students
Tuition Fee
GBP 1,350
Per course
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Courses
Major
Computer Science | Biochemistry | Biotechnology
Area of study
Information and Communication Technologies | Natural Science
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 1,350
Intakes
Program start dateApplication deadline
2022-03-01-
About Program

Program Overview


Bioinformatics for Genome Analysis, PMGM00, FHEQ

Course Details

The module will cover the fundamental principles of informatics and bioinformatics applied to clinical genomics, find and use major genomic and genetic data resources; use software packages, in silico tools, databases and literature searches to align sequence data to the reference genome, critically assess, annotate and interpret findings from genetic and genomic analyses. Theoretical sessions will be coupled with practical assignments of analysing and annotating predefined data sets.


Course Level

FHEQ (Foundation, Higher, or Equivalent qualification)


Who Should Attend

This course is ideal for anyone interested in gaining the knowledge and understanding to interpret genomic data.


Date

March 2022


Duration

Lecture-based taught component alongside practical assignments of analysing data sets. Contact Hours will be delivered through a blend of live activities online and on-campus, and may include, for example, lectures, seminars, practical sessions, and Academic Mentoring sessions.


Assessment

  • Assignment 1
  • Assignment 2
  • Assignment 3

Cost

£1,350.00


Location

Swansea University Medical School, Institute of Life Science 2, Swansea University, Singleton Park, Swansea, SA2 8PP


Lecturer

Dr. Anna Derrick


Course Overview

The course aims to provide a comprehensive understanding of bioinformatics principles and their application in genome analysis. It is designed for individuals seeking to enhance their skills in interpreting genomic data, which is crucial in various fields, including medical research, genetic counseling, and personalized medicine.


Learning Outcomes

Upon completion of the course, participants will be able to:


  • Apply bioinformatics tools and databases to analyze genomic data
  • Interpret findings from genetic and genomic analyses
  • Critically assess and annotate sequence data aligned to the reference genome
  • Utilize software packages and in silico tools for data analysis

Target Audience

The course is targeted towards professionals and students in the fields of genetics, genomics, bioinformatics, and related biomedical sciences who wish to deepen their understanding of bioinformatics for genome analysis.


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