Assignment
“Bioinformatic challenges of long-read nucleid acid sequencing technologies”
The learning objectives of this assignment are:
- To become familiar with sequencing technologies and specifically for long-read generating sequencing technologies such as the Oxford Nanopore
- To become familiar with the range of bioinformatics tools that can assist the analysis of long-read sequencing technologies
- To understand how bioinformatics can contribute to extract value out of long-read sequencing technologies (opportunities) and what problems it has to overcome to achieve this aim (challenges)
- To learn and practice the skills of scientific writing.
Write a review covering the challenge and opportunities of bioinformatics to analyze the data generated from long-read sequencing technologies (e.g. Oxford Nanopore). Include in the review, a detailed description of *one* specific application of long-reads sequencing technologies using a paper (or closely related series of papers) that you have found from PubMed or a similar source. Comment as well, from a general perspective, on how such type of sequencing technologies is challenging (and changing) conventional bioinformatics tools.
Marks will be awarded for:
- General description of long-read sequencing technologies: 20%
- Bioinformatic tools for long-read sequencing technologies: 15%
- Description of a specific biological/biomedical application: 15%
- Challenges to conventional bioinformatics: 20%
- Writing style, structure: 10%
- Good use of Figures: 10%
- Correct use of citations and good references: 10%
It is VERY important that you use references and citations correctly and do not copy material from other sources without correctly citing it. Please see the University information on plagiarism.
Deliverables
A finished review paper, addressing the sections listed above of at most 2000 words. Use headings and subheadings as necessary. Use the layout and reference style required by the journal Bioinformatics.
(see http://www.oxfordjournals.org/our_journals/bioinformatics/for_authors/submission_online.html)
