Non-Model Genomics Workshop

6th December

6th Floor Catalyst House
150 Willis Street
Wellington, New Zealand

Modern sequencing technologies make it possible to generate genomic data from almost any species, thereby opening up many new avenues for research. However, applying genomic approaches to non-model species presents substantial challenges in research design, computational analyses, and the interpretation of results. Through this workshop, participants will gain an understanding of the types of research questions that can be answered with modern sequencing approaches and the particular challenges associated with these methods.

The Genomics for Aotearoa New Zealand society (GFANZ) will present this workshop in conjunction with the Molluscs 2018 conference (http://www.malsocaus.org/?page_id=1063). The workshop is open to all interested persons (but attendance is very limited to encourage interaction with the expert presenters). The fee for the workshop is
$200 and includes morning tea and lunch.

This workshop will be broadly based on Cahill et al., 2016 paper (Genetic differentiation but no reduction in genetic diversity at the northern range edge of two species with different dispersal modes. https://doi.org/10.1111/mec.13497). Data available here:DOI: https://doi.org/10.5061/dryad.ct5q3. Sequence data here: https://www.ncbi.nlm.nih.gov/sra/?term=SRP058970

In each section we will first explore the topic in a broad sense. Then we will focus on the Cahill paper in relation to the topic. In this way, we will discuss many facets of genomics research and tie them together in a coherent example.


REGISTER HERE


Time
Topic
9:00 AM
What interesting research questions can we explore with genomics?

General experimental design considerations in genomics and specific examples
from this paper.

Sample collection for genomics experiments: an exercise in trade offs.

Samples to Sequence - DNA quality & quantity, extractions, library preps,
fragment profiles, etc.
12:00
Lunch
1:00
DNA sequencing and analysis – methods and applications.

Raw sequence data to SNPs – bioinformatic considerations.

Reproducible workflows, cloud computing, and reporting.

Interpretation and communication of results.
4:30 Wrap Up