|
|
Acknowledgements:
PUMA2 is very grateful to:
|
- Dr. E. Selkov Sr.. for consultations and valuable suggestions.
- E. Selkov Jr. for his work in visualization of Metabolic pathways from the EMP database.
- A. Selkov Jr.. and the staff of the EMP database of Enzymes and Metabolic pathways for their help
|
- Margie Romine (PNNL) for her valuable advice and suggestions
- Ian Foster, Mike Wilde, Nika Nefedova, Jens Voekler and other Globus people for collaboration on the development of GADU.
- Miron Livny, Zach Miller and other Condor people (University of Wisconsin, Madison) who helped us a lot with the development of GADU
- Dr Olaf Schneewind (University of Chicago) and the staff of the Great lakes RCE for their help and support
- Dr. A. Joachimiak (MCSG) and the staff of the Midwest Structural Genomics Center for their help and support
- Rick Stevens -- the director of the MCS ANL for his help and encouragement
- Luke Ulrich -- for the development of PhyloBlocks and BloBla
Bioinformatics Group at MCS Argonne:
|
Tanuja Bompada
|
Chisel -- computational environment for evolutionary analysis of enzymatic sequences
MetaGenome -- bioinformatics analysis of environmental samples
|
|
Dr. Mark D'Souza
|
major PUMA2 architect, developer of user interfaces and application, Sentra
|
|
Dr. Elizabeth Glass
|
Enrico Fermi postdoctoral fellow, PUMA2 general design,
Pathos and PathoGene databases,
TarGet database, Sentra database
|
|
Dr. Natalia Maltsev
|
Group leader
|
|
Alex Rodriguez
|
major systems designer and developer of GADU -- a grid technology based
computational environment for high-throughput analysis of genomes, Chisel
|
|
Dina Sulakhe
|
major systems designer and developer of GADU and PUMA2
|
|
Mustafa Syed
|
design and implementation of the metabolic part of PUMA2
|
|
John Peterson
|
design and implementation of TarGet database and a lot of other cool things
|
|
Pavan Anumula
|
TarGet database,
PUMA2 administration tools, flexible bioinformatics workflows
|
|
Yi Zhang
|
various bioinformatics tools and applications, data mining algorithms
|
|
|
