title: PMAnalyzer: a new web interface for bacterial growth curve analysis.
abstract: CONCLUSIONS
  Bacterial growth curves are essential representations for characterizing bacteria metabolism within a variety of media compositions. Using high-throughput, spectrophotometers capable of processing tens of 96-well plates, quantitative phenotypic information can be easily integrated into the current data structures that describe a bacterial organism. The PMAnalyzer pipeline performs a growth curve analysis to parameterize the unique features occurring within microtiter wells containing specific growth media sources. We have expanded the pipeline capabilities and provide a user-friendly, online implementation of this automated pipeline. PMAnalyzer version 2.0 provides fast automatic growth curve parameter analysis, growth identification and high resolution figures of sample-replicate growth curves and several statistical analyses.
  
  
  METHODS
  PMAnalyzer v2.0 can be found at https://edwards.sdsu.edu/pmanalyzer/ . Source code for the pipeline can be found on GitHub at https://github.com/dacuevas/PMAnalyzer . Source code for the online implementation can be found on GitHub at https://github.com/dacuevas/PMAnalyzerWeb .
  
  
  BACKGROUND
  dcuevas08@gmail.com.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Computational Science Research Center, San Diego State University, San Diego, CA, USA.
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Cuevas
authors.affiliation: Computational Science Research Center, San Diego State University, San Diego, CA, USA.|Department of Computer Science, San Diego State University, San Diego, CA, USA.
authors.forename: Robert A
authors.initials: RA
authors.lastname: Edwards
mesh_terms: D001419:Bacteria / Q000254:growth & development / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D008828:Microbiological Techniques / Q000379:methods; D012984:Software