| Line 4: | Line 4: | ||
*[http://reproducible.io CARE tool from STMicroelectronics] (Comprehensive Archiver for Reproducible Execution) | *[http://reproducible.io CARE tool from STMicroelectronics] (Comprehensive Archiver for Reproducible Execution) | ||
| + | *[http://rr-project.org RR] (Mozilla project: records nondeterministic executions and debugs them deterministically) | ||
*[http://www.pgbovine.net/cde.html CDE tool] (automatically create portable Linux applications with all dependencies) | *[http://www.pgbovine.net/cde.html CDE tool] (automatically create portable Linux applications with all dependencies) | ||
*[https://www.docker.io Docker tool] (pack, ship and run applications as a lightweight container) | *[https://www.docker.io Docker tool] (pack, ship and run applications as a lightweight container) | ||
| Line 12: | Line 13: | ||
*[http://www.taverna.org.uk Taverna] (designing and executing workflows) | *[http://www.taverna.org.uk Taverna] (designing and executing workflows) | ||
*[http://boinc.berkeley.edu BOINC] (open-source software for volunteer computing and grid computing) | *[http://boinc.berkeley.edu BOINC] (open-source software for volunteer computing and grid computing) | ||
| − | *[http://hal.inria.fr/inria-00436029 | + | *[https://mulcyber.toulouse.inra.fr/projects/ngspipelines NGS pipelines] (integrates pipelines and user interfaces to help biologists to analyse data outputed from biological applications such as RNAseq, sRNAseq, ChipSeq, BS-seq) |
| − | *[http://c-mind.org/repo Collective Mind technology] (towards collaborative, systematic and reproducible computer engineering using big data, predictive analytics and collective intelligence) (2011-cur.) | + | *[http://www.cs.umd.edu/projects/skoll/Skoll/Home.html Skoll] (A process & Infrastructure for Distributed, continuous Quality assurance) |
| + | *[http://nepi.inria.fr NEPI] (Simplifying network experimentation) | ||
| + | *[http://pgbovine.net/burrito.html Burrito] (Rethinking the Electronic Lab Notebook)<br/>[http://hal.inria.fr/inria-00436029 open source cTuning technology] (crowdsource auto-tuning and combine with machine learning using big data, predictive analytics and crowdsourcing) (2006-cur.) | ||
| + | *[http://c-mind.org/repo Collective Mind technology] (towards collaborative, systematic and reproducible computer engineering using big data, predictive analytics and collective intelligence) (2011-2014) | ||
| + | *[http://github.com/ctuning/ck Collective Knowledge framework and repository] (preserve, organize, desribe, share and reuse your code and data via GIT(HUB)) (2014-cur.) | ||
Revision as of 18:11, 5 February 2015
Assorted tools
- CARE tool from STMicroelectronics (Comprehensive Archiver for Reproducible Execution)
- RR (Mozilla project: records nondeterministic executions and debugs them deterministically)
- CDE tool (automatically create portable Linux applications with all dependencies)
- Docker tool (pack, ship and run applications as a lightweight container)
- IPython Notebook (a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document)
- R-studio (Open source and enterprise-ready professional software for R)
- Codelab (an experimental platform for collaboration and competition)
- FigShare (managing research in a cloud)
- Taverna (designing and executing workflows)
- BOINC (open-source software for volunteer computing and grid computing)
- NGS pipelines (integrates pipelines and user interfaces to help biologists to analyse data outputed from biological applications such as RNAseq, sRNAseq, ChipSeq, BS-seq)
- Skoll (A process & Infrastructure for Distributed, continuous Quality assurance)
- NEPI (Simplifying network experimentation)
- Burrito (Rethinking the Electronic Lab Notebook)
open source cTuning technology (crowdsource auto-tuning and combine with machine learning using big data, predictive analytics and crowdsourcing) (2006-cur.) - Collective Mind technology (towards collaborative, systematic and reproducible computer engineering using big data, predictive analytics and collective intelligence) (2011-2014)
- Collective Knowledge framework and repository (preserve, organize, desribe, share and reuse your code and data via GIT(HUB)) (2014-cur.)
