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BB50247: Advances in bioinformatics

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Biology & Biochemistry
Further information on credits Credits: 20      [equivalent to 40 CATS credits]
Further information on notional study hours Notional Study Hours: 400
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Academic Year
Further information on unit assessment Assessment Summary: CW 50%, EX 40%, OT 10%
Further information on unit assessment Assessment Detail:
  • Online Tests on Core Knowledge (OT 10%)
  • Research Paper Seminar Presentation (CW 20%)
  • Literature Review (2000-3000 words) (CW 30%)
  • Synoptic Written Examination (EX 40%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
This unit aims to provide you with an understanding of the latest developments in bioinformatics, such as collection and analysis of large genomic sequences, comparative genome bioinformatics, computational modelling and related statistical tools.

Learning Outcomes:
By the end of this unit you will be able to:
* Apply your understanding of your core bioinformatics knowledge drawing on concepts in genetics, genomics, statistics and computational modelling
* Critically evaluate and communicate the findings of a cutting-edge bioinformatics research publication through a formal presentation
* Critically evaluate, synthesise and summarise the findings of a variety of cutting-edge bioinformatics research publications through a written literature review.

Content:
The unit synthesises the fundamental principles in genetics and genomics with computational sciences. You will be provided with the fundamental concepts underpinning four core areas of bioinformatics
a) Genetics and Genomics: key concepts in genetics, genomics (generation, analysis and annotation of genome sequences)
b) Genome Bioinformatics: principles of genome (NGS) analysis, including genome assembly, variant calling, transcriptomics and proteomics.
c) Statistics: Core bio-statistical methods, within the R statistical computing environment
d) Computational modelling in biology.
Further information on programme availabilityProgramme availability:

BB50247 is a Designated Essential Unit on the following programmes:

Department of Biology & Biochemistry
  • RSBB-AFM48 : Integrated PhD Molecular Biosciences (Bioinformatics)
  • TSBB-AFM48 : MSc Molecular Biosciences (Bioinformatics)

Notes: