UUY-DTS 4112 units400 LevelFirst Semester

Bio-Analytics Systems and Applications

B.Sc. Data Science, University of Uyo

UUY-DTS 411 (Bio-Analytics Systems and Applications) is a 2-unit, 400 Level course taught in the First Semester at the University of Uyo, Akwa Ibom State, Nigeria.

Data science applied to biological and health data: genomics, clinical records, epidemiological modelling and public-health surveillance, with the specific statistical and ethical challenges those domains bring.

On Areté, UUY-DTS 411 comes with

  • 2 recommended textbooks
  • an AI tutor that has read this course’s outline and notes
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Course outline

  1. 01Introduction to biological data: genomic, transcriptomic, proteomic and clinical data types
  2. 02Biological databases and formats: GenBank, FASTA/FASTQ, VCF, UniProt
  3. 03Sequence analysis: alignment, BLAST, and motif finding
  4. 04Gene expression analysis and the high-dimension/low-sample-size problem
  5. 05Multiple testing and false discovery rate correction
  6. 06Electronic health records: structure, coding systems (ICD, SNOMED) and data quality
  7. 07Survival analysis: Kaplan–Meier curves, hazard functions, Cox regression
  8. 08Epidemiological modelling: incidence, prevalence, SIR/SEIR compartment models
  9. 09Health data privacy, consent and the ethics of biomedical data

Recommended textbooks

  • Bioinformatics and Functional Genomics — Jonathan Pevsner

    3rd ed. — the standard broad introduction

  • Biostatistics: A Foundation for Analysis in the Health Sciences — Daniel & Cross

    11th ed. — the statistical half of this course

How to pass UUY-DTS 411

  • The multiple-testing problem is the defining statistical issue in genomics: with 20,000 genes tested at p < 0.05 you get 1,000 false positives by chance. Understand Bonferroni and Benjamini–Hochberg
  • Survival analysis is the one technique here that transfers everywhere — customer churn and equipment failure are the same mathematics
  • Use real public data (NCBI, WHO, NCDC) for practicals; health data science is unusually well served by open datasets
  • The ethics content is not decorative — health data carries the strictest consent and privacy obligations of any domain you will work in

UUY-DTS 411 — questions and answers

What is UUY-DTS 411 at the University of Uyo?
UUY-DTS 411 (Bio-Analytics Systems and Applications) is a 2-unit, 400 Level course taught in the First Semester at the University of Uyo, Akwa Ibom State, Nigeria. Data science applied to biological and health data: genomics, clinical records, epidemiological modelling and public-health surveillance, with the specific statistical and ethical challenges those domains bring.
What topics are covered in UUY-DTS 411?
The UUY-DTS 411 outline covers 9 topics: Introduction to biological data: genomic, transcriptomic, proteomic and clinical data types; Biological databases and formats: GenBank, FASTA/FASTQ, VCF, UniProt; Sequence analysis: alignment, BLAST, and motif finding; Gene expression analysis and the high-dimension/low-sample-size problem; Multiple testing and false discovery rate correction; Electronic health records: structure, coding systems (ICD, SNOMED) and data quality; Survival analysis: Kaplan–Meier curves, hazard functions, Cox regression; Epidemiological modelling: incidence, prevalence, SIR/SEIR compartment models; Health data privacy, consent and the ethics of biomedical data.
What textbooks are recommended for UUY-DTS 411?
Recommended reading for UUY-DTS 411: Bioinformatics and Functional Genomics by Jonathan Pevsner; Biostatistics: A Foundation for Analysis in the Health Sciences by Daniel & Cross.
How do I pass UUY-DTS 411?
The multiple-testing problem is the defining statistical issue in genomics: with 20,000 genes tested at p < 0.05 you get 1,000 false positives by chance. Understand Bonferroni and Benjamini–Hochberg Survival analysis is the one technique here that transfers everywhere — customer churn and equipment failure are the same mathematics Use real public data (NCBI, WHO, NCDC) for practicals; health data science is unusually well served by open datasets The ethics content is not decorative — health data carries the strictest consent and privacy obligations of any domain you will work in
Where can I find UUY-DTS 411 lecture notes and past questions?
Areté (https://www.aretecyb.tech/courses/uuy-dts-411) carries 2 recommended textbooks for UUY-DTS 411, plus an AI tutor that has read the outline. It is free for University of Uyo students — sign in with your email, no password.

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