Speakers
- Matt Stine
- Brian Sletten
- Ken Sipe
- Nathaniel Schutta
- Pratik Patel
- Matthew McCullough
- Mike Heath
- Neal Ford
- Tim Berglund
- Peter Bell
- Craig Walls
- Venkat Subramaniam
- Kris Zyp
- Nicholas C. Zakas
- Andrew Wirick
- Chris Wilson
- James Williams
- Greg Wilkins
- Meghan Wilker
- Mike Wilcox
- Dustin Whittle
- Estelle Weyl
- Johnny Wey
- Eric Wendelin
- Rich Waters
- James Ward
- David Verba
- Thomas Valletta
- Johannes Ullrich
- Tenni Theurer
- Etienne Studer
- Steve Souders
- Deryk Sinotte
- John Simone
- Scott Shattuck
- Bill Scott
- Matt Schmidt
- Dylan Schiemann
- Christian Schalk
- Brian Sam-Bodden
- Terry Ryan
- Alex Russell
- Rob Rusher
- Rick Ross
- Tom Robinson
- Torrey Rice
- Aza Raskin
- Nandini Ramani
- Matt Raible
- Jason Porter
- Vic Patterson
- Andy Painter
- Noah Paci
- Aaron Newton
- Mark Murphy
- Rebecca Murphey
- William Morris
- Eric Miraglia
- Eric Miller
- Steffen Meschkat
- Dustin Machi
- Nancy Lyons
- Kevin Lynch
- Andrew Lombardi
- Howard Lewis Ship
- Brian Leroux
- Brent Laster
- Seth Ladd
- Nik Krimm
- Kenneth Kousen
- Sean Kane
- Tim Kadlec
- Christopher Judd
- Bruce Johnson
- Denise Jacobs
- Bob Ippolito
- Kevin Hoyt
- Molly Holzschlag
- Josh Holmes
- Les Hazlewood
- Erik Hatcher
- James Harmon
- Patrick Haney
- Stuart Halloway
- Clint Hall
- Wesley Hales
- Kevin Hakman
- Aaron Gustafson
- Arun Gupta
- Nate Grover
- Mike Girouard
- Jesse James Garrett
- Raju Gandhi
- Thomas Fuchs
- Aaron Frost
- Judson Flamm
- Connie Finkelman
- Jon Ferraiolo
- Szczepan Faber
- Cal Evans
- Nicholas Eddy
- Scott Dietzen
- Gabriel Dayley
- Luke Daley
- Adrian Cole
- Roy Clarkson
- Patrick Chanezon
- David Chandler
- Ludovic Champenois
- Max Carlson
- Pete Campbell
- Bob Byron
- Thomas Burleson
- Michal Budzynski
- John Brinnand
- Ryan Breen
- Simone Bordet
- David Boloker
- David Bock
- Rey Bango
- Tom Ball
- Dan Allen
- Brad Abrams
Matt Stine
Community Engineer @CloudFoundry
Matt Stine is a Community Engineer with Cloud Foundry (http://cloudfoundry.com) by Pivotal (http://goPivotal.com). He is a twelve year veteran of the enterprise software and web development industries, with experience spanning the healthcare, biomedical research, e-commerce, retail store and insurance domains.
Matt is obsessed with the idea that enterprise IT “doesn’t have to suck,” and spends much of his time thinking about lean/agile software development methodologies, DevOps, architectural principles/patterns/practices, and programming paradigms in an attempt to find the perfect storm of techniques that will allow corporate IT departments to not only function like startup companies, but also create software that delights users while maintaining a high degree of conceptual integrity.
Matt has spoken at conferences ranging from JavaOne to CodeMash and serves as Technical Editor of NFJS the Magazine (https://www.nofluffjuststuff.com/home/magazine_subscribe). Matt is also the founder of the Memphis/Mid-South Java User Group.
Blog
Clojure on Cloud Foundry
Posted Wednesday, May 29, 2013
I was inspired by Brian McClain’s post on bringing Haskell to Cloud Foundry using Cloud Foundry v2 buildpacks, so I decided to go on a buildpack journey of my own. Since Clojure is the language I most enjoying “toying around with,” I tmore »Into the Crucible
Posted Wednesday, May 29, 2013
Wow…it seems I only post to this blog toward the end of May. Well, that all changes now. You see, as of June 3, 2013, this blog is going to become one of many aspects of my new “day jomore »The Relaunch
Posted Thursday, May 24, 2012
I have rebooted this blog many times over the last several years. If you’ve been a reader of my blog in the past, you will have noticed significant changes. If you’re new here, welcommore »Presentations
Master of Puppet
Puppet is a powerful framework for the automation of tasks typically performed by system administrators as part of software infrastructure provisioning and maintenance. Puppet adoption is rapidly increasing, boasting use by companies such as Google, RedHamore »Books
by
-
This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers. The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem. The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS). While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.
- This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers. The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem. The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS). While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.
