Analyzing shotgun proteomic data with PatternLab for proteomics.
PatternLab for proteomics is a one-stop shop computational environment for analyzing shotgun proteomic data. Its modules provide means to pinpoint proteins/peptides that are differentially expressed and those that are unique to a state. It can also cluster the ones that share similar expression profiles in time-course experiments, as well as help in interpreting results according to Gene Ontology. PatternLab is user-friendly, simple, and provides a graphical user interface.
Systems Engineering and Computer Science Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.|The Scripps Research Institute, La Jolla, California.
Paulo C
PC
Carvalho
The Scripps Research Institute, La Jolla, California.
John R
JR
Yates Iii
Systems Engineering and Computer Science Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Valmir C
VC
Barbosa
D016000:Cluster Analysis; D030562:Databases, Protein; D017408:Guidelines as Topic; D011506:Proteins / Q000378:metabolism; D040901:Proteomics / Q000379:methods*; D017386:Sequence Homology, Amino Acid; D012984:Software; D014584:User-Computer Interface
D011506:Proteins