Computational Bioinformatics

Cod y Modiwl: CS31420
Teitl y Modiwl: Computational Bioinformatics
Blwyddyn Academaidd: 2027/2028
Semester: Semester 1
Cyd-gysylltydd y Modiwl: Dr Otar Akanyeti
Rhestr Ddarllen: Gweld ar Aspire
Rhagofynion: CC21120 neu CS21120 neu MA25220 neu MT25220
Students must have taken one of these modules or be able to demonstrate equivalent learning.
Staff Eraill sy'n Cyfrannu: Dr Yasir Saleem Shaikh; Dr Wayne Aubrey

Dulliau Asesu

Math o Asesiad	Manylion Asesiad	Cyfran
Asesiad Semester	Test: 1 Awr In-class Blackboard test	40%
Asesiad Semester	Assignment: 80 Awr Essay with accompanying source code/data 3000 words plus code, data and graphs	60%
Asesiad Ailsefyll	Supplementary assessment: 80 Awr Essay with accompanying source code/data 3000 words plus code, data and graphs	60%
Arholiad Ailsefyll	Supplementary test: 1 Awr In-class Blackboard test	40%

Canlyniadau Dysgu

Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:

Explain scientific concepts that underpin biological data
Analyse and interpret biological data using computational methods and algorithms
Draw conclusions from the computational analysis of data
Recognise the strengths and limitations of computational methods when applied to a biological data set

Disgrifiad cryno

This is an interdisciplinary module introducing state-of-the-art computational methods and algorithms used for for biological data analysis. In particular, the module focuses on creation, analysis and interpretation of "omics" data which has broad applications in Health, Biology and Biotechnology. Some examples are biomarker discovery for disease diagnostics and prognostics, plant and animal breeding, environmental monitoring for infectious diseases and production of industrial enzymes. The students will be gently introduced to biological concepts and terminology with no prior knowledge required and will have the opportunity to apply their computing skills to discover new knowledge.

Cynnwys

Data sets and knowledge representation in biology (e.g., the basics of DNA, RNA and protein sequences)

Bioinformatics technologies and methods used in generating and analysing "omics" data

Computational methods for DNA sequence alignment, genome assembly, gene detection, gene annotation, genomic variant analysis and protein structure prediction

Applications of computational bioinformatics from association mapping (from genotype to phenotype) and biomarker discovery to disease diagnosis and prevention

Ethical issues surrounding retrieval and use of biological information

Sgiliau Modiwl

Math o Sgiliau	Manylion Sgiliau
Addasrwydd a gwydnwch	Interdisciplinary skills and knowledge
Cydlynu ag erail	Practical sessions and in-class activities
Cyfathrebu proffesiynol	Documenting code, report writing.
Datrys Problemau Creadigol	Data analysis skills, algorithm and data structure skills.
Gallu digidol	Programming and using computational tools.
Meddwl beirniadol a dadansoddol	Formulating a research question and the application of computational methods to test hypotheses.
Myfyrdod	Understanding the impact of biological data mining.
Sgiliau Pwnc-benodol	Using a computer and online tools. Readings from current scientific literature.
Synnwyr byd go iawn	The applications of biological data mining

Nodau

Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 6