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author Matasci, Naim
Hung, Ling-Hong
Yan, Zhixiang
Carpenter, Eric J
Wickett, Norman J
Mirarab, Siavash
Nguyen, Nam
Warnow, Tandy
Ayyampalayam, Saravanaraj
Barker, Michael
Burleigh, J Gordon
Gitzendanner, Matthew A
Wafula, Eric
Der, Joshua P
dePamphilis, Claude W
Roure, Béatrice
Philippe, Hervé
Ruhfel, Brad R
Miles, Nicholas W
Graham, Sean W
Mathews, Sarah
Surek, Barbara
Melkonian, Michael
Soltis, Douglas E
Soltis, Pamela S
Rothfels, Carl
Pokorny, Lisa
Shaw, Jonathan A
DeGironimo, Lisa
Stevenson, Dennis W
Villarreal, Juan Carlos
Chen, Tao
Kutchan, Toni M
Rolf, Megan
Baucom, Regina S
Deyholos, Michael K
Samudrala, Ram
Tian, Zhijian
Wu, Xiaolei
Sun, Xiao
Zhang, Yong
Wang, Jun
Leebens-Mack, Jim
Wong, Gane Ka-Shu
author_facet Matasci, Naim
Hung, Ling-Hong
Yan, Zhixiang
Carpenter, Eric J
Wickett, Norman J
Mirarab, Siavash
Nguyen, Nam
Warnow, Tandy
Ayyampalayam, Saravanaraj
Barker, Michael
Burleigh, J Gordon
Gitzendanner, Matthew A
Wafula, Eric
Der, Joshua P
dePamphilis, Claude W
Roure, Béatrice
Philippe, Hervé
Ruhfel, Brad R
Miles, Nicholas W
Graham, Sean W
Mathews, Sarah
Surek, Barbara
Melkonian, Michael
Soltis, Douglas E
Soltis, Pamela S
Rothfels, Carl
Pokorny, Lisa
Shaw, Jonathan A
DeGironimo, Lisa
Stevenson, Dennis W
Villarreal, Juan Carlos
Chen, Tao
Kutchan, Toni M
Rolf, Megan
Baucom, Regina S
Deyholos, Michael K
Samudrala, Ram
Tian, Zhijian
Wu, Xiaolei
Sun, Xiao
Zhang, Yong
Wang, Jun
Leebens-Mack, Jim
Wong, Gane Ka-Shu
author_sort Matasci, Naim
collection PubMed
description The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated transcriptome data from over 1,000 plant species, with exemplars for all of the major lineages across the Viridiplantae (green plants) clade. Here, we describe how to access the data used in a phylogenomics analysis of the first 85 species, and how to visualize our gene and species trees. Users can develop computational pipelines to analyse these data, in conjunction with data of their own that they can upload. Computationally estimated protein-protein interactions and biochemical pathways can be visualized at another site. Finally, we comment on our future plans and how they fit within this scalable system for the dissemination, visualization, and analysis of large multi-species data sets.
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spelling pubmed-43060142015-01-27 Data access for the 1,000 Plants (1KP) project Matasci, Naim Hung, Ling-Hong Yan, Zhixiang Carpenter, Eric J Wickett, Norman J Mirarab, Siavash Nguyen, Nam Warnow, Tandy Ayyampalayam, Saravanaraj Barker, Michael Burleigh, J Gordon Gitzendanner, Matthew A Wafula, Eric Der, Joshua P dePamphilis, Claude W Roure, Béatrice Philippe, Hervé Ruhfel, Brad R Miles, Nicholas W Graham, Sean W Mathews, Sarah Surek, Barbara Melkonian, Michael Soltis, Douglas E Soltis, Pamela S Rothfels, Carl Pokorny, Lisa Shaw, Jonathan A DeGironimo, Lisa Stevenson, Dennis W Villarreal, Juan Carlos Chen, Tao Kutchan, Toni M Rolf, Megan Baucom, Regina S Deyholos, Michael K Samudrala, Ram Tian, Zhijian Wu, Xiaolei Sun, Xiao Zhang, Yong Wang, Jun Leebens-Mack, Jim Wong, Gane Ka-Shu Gigascience Review The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated transcriptome data from over 1,000 plant species, with exemplars for all of the major lineages across the Viridiplantae (green plants) clade. Here, we describe how to access the data used in a phylogenomics analysis of the first 85 species, and how to visualize our gene and species trees. Users can develop computational pipelines to analyse these data, in conjunction with data of their own that they can upload. Computationally estimated protein-protein interactions and biochemical pathways can be visualized at another site. Finally, we comment on our future plans and how they fit within this scalable system for the dissemination, visualization, and analysis of large multi-species data sets. BioMed Central 2014-10-27 /pmc/articles/PMC4306014/ /pubmed/25625010 http://dx.doi.org/10.1186/2047-217X-3-17 Text en Copyright © 2014 Matasci et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Matasci, Naim
Hung, Ling-Hong
Yan, Zhixiang
Carpenter, Eric J
Wickett, Norman J
Mirarab, Siavash
Nguyen, Nam
Warnow, Tandy
Ayyampalayam, Saravanaraj
Barker, Michael
Burleigh, J Gordon
Gitzendanner, Matthew A
Wafula, Eric
Der, Joshua P
dePamphilis, Claude W
Roure, Béatrice
Philippe, Hervé
Ruhfel, Brad R
Miles, Nicholas W
Graham, Sean W
Mathews, Sarah
Surek, Barbara
Melkonian, Michael
Soltis, Douglas E
Soltis, Pamela S
Rothfels, Carl
Pokorny, Lisa
Shaw, Jonathan A
DeGironimo, Lisa
Stevenson, Dennis W
Villarreal, Juan Carlos
Chen, Tao
Kutchan, Toni M
Rolf, Megan
Baucom, Regina S
Deyholos, Michael K
Samudrala, Ram
Tian, Zhijian
Wu, Xiaolei
Sun, Xiao
Zhang, Yong
Wang, Jun
Leebens-Mack, Jim
Wong, Gane Ka-Shu
Data access for the 1,000 Plants (1KP) project
title Data access for the 1,000 Plants (1KP) project
title_full Data access for the 1,000 Plants (1KP) project
title_fullStr Data access for the 1,000 Plants (1KP) project
title_full_unstemmed Data access for the 1,000 Plants (1KP) project
title_short Data access for the 1,000 Plants (1KP) project
title_sort data access for the 1,000 plants (1kp) project
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306014/
https://www.ncbi.nlm.nih.gov/pubmed/25625010
http://dx.doi.org/10.1186/2047-217X-3-17
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