PlabiPD

Welcome to PlabiPD

  • PlabiPD is a resource which aims to integrate the growing mass of biological data with a particular focus on genomic data.
  • We collate, summarise and present the data in a context to help researchers tackel their individual questions. 

 

To return to the live PlabiPD site, click here

Recently added

  • 2018 Aug 15 | There will be some service interruptions today due a to server upgrade

  • 2018 May 25 | Data Protection policy is available here 

  • 2017 Oct 17 | The MapMap website is back online

  • 2017 Oct 10 | The MapMan website is temporarily unavailable. In the meantime, mapping data and application download can be found here

  • 2016 Dec 14 | Plant genomes - Solanum pennellii (new cultivar)

  • 2015 Jul 02 | Plant genomes - Solanum Lycopersicum (cv. M82)

  • 2015 Jun 26 | Tools - Web application mercator for mapman-based automated sequence annotation

  • 2015 Feb 12 | Protein sequences with a consensus prediction of their subcellular localization

  • 2014 Dec 22 | Plant genomes - phylogenetic perspective of all published sequenced plant genomes

 

 

 

 

Recently published plant genome

 

Sequence of the Sugar Pine Megagenome

 

Until very recently, complete characterization of the megagenomes of conifers has remained elusive. The diploid genome of sugar pine (Pinus lambertiana Dougl.) has a highly repetitive, 31 billion bp genome. It is the largest genome sequenced and assembled to date, and the first from the subgenus Strobus, or white pines, a group that is notable for having the largest genomes among the pines.

Kristian A. Stevens, Jill L. Wegrzyn, Aleksey Zimin, Daniela Puiu, Marc Crepeau,Charis Cardeno, Robin Paul, Daniel Gonzalez-Ibeas, Maxim Koriabine, Ann E. Holtz-Morris, Pedro J. Martínez-García, Uzay U. Sezen, Guillaume Marçais,Kathy Jermstad, Patrick E. McGuire, Carol A. Loopstra, John M. Davis, Andrew Eckert, Pieter de Jong, James A. Yorke, Steven L. Salzberg, David B. Neale,Charles H. Langley

GENETICS December 1, 2016 vol. 204 no. 4 1613-1626; DOI:10.1534/genetics.116.193227