The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, ...
[[abstract]]Interest on biotechnology has increased dramatically. With the completion of sequencing ...
Over the past few years, cloud-based platforms have been proposed to address storage, management, an...
Whole genome sequence, SNPs, copy number variation, phenotypes and other “-omics” data underlie evid...
The iPlant Collaborative provides life science research communities access to comprehen-sive, scalab...
The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded projec...
The iPlant Collaborative provides life science research communities access to comprehensive, scalabl...
High-throughput sequencing technologies have rapidly moved from large international sequencing centr...
The iPlant Collaborative's Discovery Environment is a unified Web portal to many bioinformatics appl...
We demonstrate a flexible genome-wide association study platform built upon the iPlant Collaborative...
Bioinformatics, the use and study of computational techniques for collecting and analyzing biologica...
In modern plant biology, progress is increasingly defined by the scientists' ability to gather and a...
Visualization tools for biological data are often limited in their ability to interactively integrat...
International audienceAmong the world's living species, there are approximately 300,000 species of p...
This thesis presents research associated to phenotyping of plants by applying informatics techniques...
The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated ...
[[abstract]]Interest on biotechnology has increased dramatically. With the completion of sequencing ...
Over the past few years, cloud-based platforms have been proposed to address storage, management, an...
Whole genome sequence, SNPs, copy number variation, phenotypes and other “-omics” data underlie evid...
The iPlant Collaborative provides life science research communities access to comprehen-sive, scalab...
The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded projec...
The iPlant Collaborative provides life science research communities access to comprehensive, scalabl...
High-throughput sequencing technologies have rapidly moved from large international sequencing centr...
The iPlant Collaborative's Discovery Environment is a unified Web portal to many bioinformatics appl...
We demonstrate a flexible genome-wide association study platform built upon the iPlant Collaborative...
Bioinformatics, the use and study of computational techniques for collecting and analyzing biologica...
In modern plant biology, progress is increasingly defined by the scientists' ability to gather and a...
Visualization tools for biological data are often limited in their ability to interactively integrat...
International audienceAmong the world's living species, there are approximately 300,000 species of p...
This thesis presents research associated to phenotyping of plants by applying informatics techniques...
The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated ...
[[abstract]]Interest on biotechnology has increased dramatically. With the completion of sequencing ...
Over the past few years, cloud-based platforms have been proposed to address storage, management, an...
Whole genome sequence, SNPs, copy number variation, phenotypes and other “-omics” data underlie evid...