Skip to main content
nounstudy
BIO316

Introduction to Bioinformatics

  • Sciences
  • 300 level
  • 2 credit units
  • 113 pages
  • 9 units

This course provides an introduction to the field of bioinformatics, an interdisciplinary area focused on developing methods for storing, retrieving, organizing, and analyzing macromolecular data. It covers scripting languages, biological databases, and essential bioinformatics tasks and processes. Students will learn database search and sequence retrieval techniques, including algorithms like BLAST and FASTA. The course also explores pairwise and multiple sequence alignments, phylogenetic analysis, data mining, and the application of bioinformatics tools in biotechnology and biopharma.

About this course

Difficulty
Intermediate
Study hours
48 hours
Maths
Basic
Content
Theoretical, practical, case study, problem solving, research
Practical work
Yes
Before you start
  • Basic Biology
  • Genetics
  • Basic Chemistry
  • Basic Computer Skills
How it is assessed
  • Assignments
  • Tutor marked assessments
  • Final examination

One paragraph, so you can see how it reads

BIO316 · Unit 2: Scripting Languages

In forensics, results from molecular phylogenetic analysis have been accepted as evidence in criminal courts. Some sophisticated Bayesian statistics and likelihood-based methods for analysis of DNA have been applied in the analysis of forensic identity.

What you should be able to do

  1. Define bioinformatics and its applications in biological research.
  2. Utilize scripting languages for bioinformatics tasks.
  3. Describe and apply various biological databases for data retrieval.
  4. Apply bioinformatics tools for sequence alignment and analysis.
  5. Explain phylogenetic analysis and data mining techniques.
  6. Apply bioinformatics tools in biotechnology and biopharmaceutical research.
  7. Discuss current trends and future directions in bioinformatics.

What it prepares you for

Careers
  • Bioinformatician
  • Data Scientist
  • Research Scientist
  • Biostatistician
  • Genomic Analyst
Where it is applied
  • Pharmaceuticals
  • Biotechnology
  • Genomics
  • Healthcare
  • Agriculture
Tools
  • BLAST
  • FASTA
  • ClustalW
  • MEGA
  • Bioperl

Where it gets hard

The units students slow down on, and what makes each one heavy.

  • Module 1: An Overview of Bioinformatics

    Unit 1: An Overview of Bioinformatics

    Understanding the diverse subfields and their interrelations requires grasping complex relationships between sequence, structure, and function analysis.

  • Module 1: An Overview of Bioinformatics

    Unit 2: Scripting Language

    Requires understanding of multiple programming languages and their specific applications in biological data analysis.

  • Module 2:

    Unit 3: Phylogenetic analysis and Data mining

    Requires understanding of complex algorithms and statistical methods used to determine evolutionary relationships.

A suggested way through it

Suggested

13 weeks, about 48 hours in total. Yours will differ.

  1. Week 1Module 1: An Overview of Bioinformatics
    • Unit 1: An Overview of Bioinformatics · 3 hours

      Define bioinformatics and its interdisciplinary nature.. Identify the aims, rationales, and goals of studying bioinformatics.. Explore the applications and subfields of bioinformatics.. Understand the limitations and historical development of bioinformatics..

  2. Week 2Module 1: An Overview of Bioinformatics
    • Unit 2: Scripting Language · 3 hours

      Define scripting languages and their role in bioinformatics.. Explain the origin and features of scripting languages.. Discuss the advantages and applications of scripting languages in bioinformatics.. Differentiate between programs and scripts..

  3. Week 3Module 1: An Overview of Bioinformatics
    • Unit 3: Biological Databases · 3 hours

      Define biological databases and their importance in bioinformatics.. Classify biological databases into primary, secondary, and specialized categories.. Explore various bioinformatics databases such as NCBI, DDBJ, and EMBL-EBI.. Understand the pitfalls of biological databases and database formats..

  4. Week 4Module 1: An Overview of Bioinformatics
    • Unit 4: Basic Tasks and Processes tools in Bioinformatics · 3 hours

      Identify and explain different bioinformatics tasks tools.. Describe the use of homology and similarity tools.. Discuss protein function analysis and structural analysis tools.. Explain the application of different programs in bioinformatics..

  5. Week 5Module 1: An Overview of Bioinformatics
    • Unit 5: Database Search and sequence Retrieval Techniques · 3 hours

      Explain the coding systems for nucleotide bases and amino acid residues.. Discuss database analyses, organization, and search engines.. Describe the Sequence Retrieval System (SRS) and sequence retrieval databases.. Identify and use different sequence retrieval tools..

  6. Week 6Module 2:
    • Unit 1: Database searching algorithms (BLAST, FASTA) · 3 hours

      Introduce database searching algorithms.. Explain the workings of FASTA and BLAST.. Describe the BLAST algorithm and its uses.. Perform a sample DNA sequence alignment using BLAST.. Perform a sample amino acid sequence alignment using BLAST..

  7. Week 7Module 2:
    • Unit 2: Pairwise and multiple sequence alignments · 3 hours

      Distinguish between pairwise and multiple sequence alignment.. Distinguish between local and global sequence alignment.. Explain the types of sequence analysis.. Describe sequence alignment analysis and its objectives..

  8. Week 8Module 2:
    • Unit 3: Phylogenetic analysis and Data mining · 3 hours

      Enumerate the importance of phylogenetic analysis.. Distinguish the various components of a phylogenetic tree.. Explain the steps for phylogenetic analysis.. Define data mining and its application in bioinformatics..

  9. Week 9Module 2:
    • Unit 4: Use of Bioinformatics tools in Biotechnology/Biopharma · 3 hours

      Explain the implementation of bioinformatics in biotechnology research.. List and explain bioinformatic tools, software, and databases in biotechnology.. Discuss the applications of bioinformatics tools in biotechnology.. Explain the role of bioinformatics in biopharmaceuticals..

  10. Week 10Module 2:
    • Unit 5: Current topics in bioinformatics and use of perl to facilitate biological analysis. · 3 hours

      Identify current areas of research in bioinformatics.. Explain the procedure of using Bioperl.. Discuss the use of Perl to facilitate biological analysis.. Explore current topics such as cloud computing, machine learning, and functional genomics..

  11. Week 11Module 1: An Overview of Bioinformatics
    • Review of Module 1 · 6 hours

      Review all modules. Work on assignments. Prepare for Tutor Marked Assignment (TMA).

  12. Week 12Module 2:
    • Review of Module 2 · 6 hours

      Review all modules. Work on assignments. Prepare for Tutor Marked Assignment (TMA).

  13. Week 13Final Revision
    • Final Revision · 6 hours

      Complete all assignments. Revise all course materials. Prepare for final examinations.

Preparing for the exam

What to do
  • Review key definitions and concepts from each unit.
  • Practice sequence alignment using online tools like BLAST and FASTA.
  • Create diagrams illustrating phylogenetic relationships and data mining processes.
  • Focus on understanding the applications of bioinformatics in different industries.
  • Practice coding in Perl using Bioperl modules for sequence manipulation.
  • Review all TMAs and assignments to identify areas of weakness.
  • Create concept maps linking key topics across modules.
  • Practice solving problems related to sequence analysis and database searching.
  • Review the historical development of bioinformatics and key contributors.
  • Focus on understanding the limitations and potential pitfalls of bioinformatics tools.

Questions students ask about this course

What is BIO316 about?

This course provides an introduction to the field of bioinformatics, an interdisciplinary area focused on developing methods for storing, retrieving, organizing, and analyzing macromolecular data. It covers scripting languages, biological databases, and essential bioinformatics tasks and processes. Students will learn database search and sequence retrieval techniques, including algorithms like BLAST and FASTA. The course also explores pairwise and multiple sequence alignments, phylogenetic analysis, data mining, and the application of bioinformatics tools in biotechnology and biopharma.

How many units does BIO316 have?

BIO316, Introduction to Bioinformatics, has 9 units across 2 modules, over 113 pages of course material. You can read it one unit at a time.

How many credit units is BIO316?

BIO316 carries 2 credit units, at 300 level in Sciences.

Is BIO316 hard?

BIO316 is rated intermediate level, with basic mathematical content. It is mostly theoretical, practical, case study, problem solving and research work, and it has a practical component.

How long does BIO316 take to study?

About 48 hours of study, spread across its 9 units.

How is BIO316 assessed?

BIO316 is assessed by assignments, tutor marked assessments and final examination.

What do I need before starting BIO316?

Basic Biology Genetics Basic Chemistry Basic Computer Skills

What can I do with BIO316?

Bioinformatician, Data Scientist, Research Scientist, Biostatistician and Genomic Analyst.

More courses in Sciences

PHY391

Physics Laboratory II

2 credit units

Open PHY391
PHY301

Classical Mechanics II

3 credit units

Open PHY301
PHY313

Mathematics Methods for Physics I

3 credit units

Open PHY313