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Welcome to the MapNet wiki

The MapNet Concept

What is MapNet?

Initiated in 2005, MapNet is a collective of New Zealand-based molecular and quantitative geneticists from organisations involved in genomics related research. Organisations represented include Plant and Food Research, University of Otago, AgResearch, Scion (NZ Forest Research Ltd), Environmental Sciences Research Ltd, Livestock Improvement Corporation, Massey University, University of Auckland, University of Canterbury, and Landcare Ltd These organisations encompass New Zealand’s health and primary production sectors, as well as conservation genetics. Other New Zealand-based organisations are welcome to participate. A key driver for MapNet is to co-ordinate scientists from different organisation using with common technologies and analytical platforms, to foster the development of multidisciplinary and cross-sector research projects, and to facilitate knowledge exchange between researchers.

What does MapNet do?

The primary role of MapNet is to encourage pre-commercial, cross-sector, genetical genomics- related R&D in a range of organisms valuable to NZ's economy, ecology and culture. To do this MapNet has a structure that includes a steering committee consisting of appointed representatives from the range of participating organisations, as well as a convenor.

MapNet activities

MapNet has two main activities: an annual MapNet workshop, and the Virtual Institute of Statistical Genetics (VISG). MapNet also holds training courses, usually in association with the annual workshop. In addition, MapNet providing a common forum for identifying and discussing common issues, and determining means of addressing these. The VISG (below) initiative arose out of these discussions.

MapNet Workshop

The workshop is usually organised by one or two participating organisations, one of which hosts the meeting. Workshops are generally small (50-70 attendees), and usually limited to MapNet-participating organisations, as well as invited overseas speakers. Attendees get the opportunity to present research. Information on previous and forthcoming workshops:

Virtual Institute of Statistical Genetics

The Virtual Institute of Statistical Genetics (VISG) was formed in 2007 following discussions among MapNet participants. This group comprised geneticists and statisticians who collectively identified key gaps in existing analytical methodologies that restricted research progress. This collaboration, which involved seven organisations, was funded from 2008 to 2013 via a contract from New Zealand Ministry of Business Innovation and Employment, and is still active. VISG developed new analytical methods and established a NZ-based ‘virtual’ capability in modern large-scale genome-wide data analyses. Key outcomes included the establishment of an infrastructure and capability at the University of Otago, which has since led to an NZ$ 8M resequencing project funded a US-based pharmaceutical company, as well as on-going collaborations between University of Otago and Plant and Food Research Ltd, in apple and kiwifruit. A range of analytical methods were also developed, published and applied to various biological contexts. Methods are now being used internationally. See VISG for further information.

VISG submitted another proposal for MBIE funding in early 2016.

The MapNet Wiki

This wiki has been set up for a more accessible "virtual critical mass" of expertise and support, and therefore of more immediate benefit to individual researchers, their research programmes, and ultimately their organisations.

The main purposes of this wiki are that it is:

  1. A focal point for MapNet members
  2. A means of informal communication
  3. A place to deposit and view documents of common interest
  4. Whatever else MapNet participants agree would be a useful application of this resource

General Information

If you want to upload files, you can do so here, or by clicking the toolbox-link to the left. If you want to see all files that are uploaded, select the File list option in Special pages (link in the toolbox menu to the left).

Help-pages are available under the navigation menu to the left. If you have any questions, please email the administrator.

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