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Diploma · 800 h · 8 modules
Diploma in Marine Bioinformatics
The Diploma in Marine Bioinformatics Prepares you to analyse the large volumes of genomic data that marine research now generates. You will learn to work at the Linux command line, to programme in Python and R, to assemble and ann
Duration800 h
FormatOnline
Starts21 December
Places20 / 20
Prior knowledge
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Programme overview
What is the Diploma in Marine Bioinformatics?
The Diploma in Marine Bioinformatics
Prepares you to analyse the large volumes of genomic data that marine research now generates. You will learn to work at the Linux command line, to programme in Python and R, to assemble and annotate the genomes of marine organisms, to analyse metagenomes and transcriptomes, to use the main biological databases and to build reproducible workflows, with worked examples from microbiology, biodiversity, aquaculture and bioprospecting.
Key advantages
- Programming from scratch: Linux, Python and R geared to biological data.
- Real marine data: Genomes, metagenomes and transcriptomes from public projects.
- Open tools: Standard software used in laboratories worldwide.
- Reproducibility: Workflow managers, environments and version control.
- Case study: A complete bioinformatics analysis from start to finish.
Programme type
Diploma
Study mode
Online
Duration
800 hours
Modules
8
Programme highlights
- Master the command line: Work confidently with Linux and servers.
- Code: Analyse data with Python and R.
- Analyse genomes: Assemble and annotate marine genomes.
- Explore communities: Process metagenomes and transcriptomes.
- Boost your career: Open doors to research groups, biotech companies and sequencing services.
- Train to turn the ocean’s sequences into biological insight.
Curriculum
Programme Structure
The programme is structured in 8 modules, listed below in order of study.
01
Linux and Computing Environments
- File system and basic commands
- Handling text files
- Bash scripting
- Package management with Conda
- Servers and remote access
- Job scheduling systems
- Cloud computing
- Good organisational practice
02
Programming in Python and R
- Data types and structures
- Control flow and functions
- Reading biological file formats
- Biopython
- Data tables with pandas
- R and Bioconductor
- Basic statistics
- Data visualisation
03
Sequencing Data and Databases
- Sequencing platforms
- FASTA and FASTQ formats
- Read quality control
- Sequence databases
- Protein databases
- Marine data repositories
- Metadata and standards
- Downloading and managing data
04
Genomics of Marine Organisms
- Genome assembly
- Short and long reads
- Assembly evaluation
- Gene annotation
- Comparative genomics
- Phylogenomics
- Microbial genomes
- Fish and invertebrate genomes
05
Marine Metagenomics
- Metabarcoding versus metagenomics
- Metagenome assembly
- Metagenome-assembled genomes
- Taxonomic profiling
- Functional profiling
- Biosynthetic gene clusters
- Diversity and statistics
- Landmark ocean sequencing projects
06
Transcriptomics and Proteomics
- Designing expression experiments
- Alignment and quantification
- Differential expression
- De novo transcriptome assembly
- Functional enrichment analysis
- Responses to environmental stress
- Introduction to proteomics
- Integrating omics data
07
Reproducible Workflows
- Version control with Git
- Interactive notebooks
- Workflow managers
- Software containers
- Documenting analyses
- FAIR principles
- Publishing data
- Ethics and genetic data
08
Case Study: Marine Bioinformatics Analysis
- Framing the question
- Obtaining the data
- Quality control
- Core analysis
- Statistical analysis
- Visualisation
- Biological interpretation
- Presenting the case
Workload
Study Time and Workload
800 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Graduates in biology, marine science or biotechnology: who want to learn bioinformatics Laboratory technicians: who generate sequencing data Researchers: who need to analyse their own genomic data Computer and data scientists: interested in the life sciences Aquaculture and biotech professionals: working with applied genomics
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Work in Linux environments
- 02Programme for biology
- 03Analyse genomes
- 04Analyse metagenomes
- 05Analyse transcriptomes
- 06Ensure reproducibility
Careers
Career Opportunities
01Bioinformatician: Genomic data analysis in research groups.
02Omics data analyst: Biotech and aquaculture companies.
03Sequencing services technician: Processing and delivering data.
04Biological data manager: Databases and repositories.
05Applied genomics technician: Breeding programmes and diagnostics.
06Research assistant: Marine genomics projects.
Questions
Entry Requirements
No. The programme starts from scratch with Linux, Python and R.
No. Heavy analyses run on remote computing environments, which are explained during the course.
Yes. You use public data from marine sequencing projects.
Yes. The tools are general, although the examples focus on marine organisms.
A complete bioinformatics analysis, from obtaining the data to interpreting it biologically.
100% online, with a virtual campus available 24/7, live sessions that are recorded, and tutorials with the teaching staff.
The programme involves 800 hours of study. You can work at your own pace within the timetable we give you when you enrol.
Each programme has its own start date, shown on this page and confirmed by our admissions team when you enquire.
On completing the programme you receive the Diploma in Marine Bioinformatics qualification awarded by Navalis Magna Institute.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
Entry profile: A degree in biology, marine science, biotechnology, biochemistry, computer science, mathematics or a related field; or professional experience in laboratory work or data analysis. Language: A good working level of English to follow classes and materials. Technical requirements: A computer with a stable internet connection, an up-to-date browser and a webcam for live sessions and project presentations. Admissions process: Online application, profile review and a short interview with the academic team. We confirm your start date when you enquire.
Questions?
Frequently Asked Questions
Leave your details and admissions will write back. If you already know this is the one, go straight to the application and pay in the same session.