Virtual Diegest (ISPaR) · T-RFLP Analysis (APLAUS+) · T-RFLP Analysis (PAT+) · P.S.P.A. · E.R.P.A.
July 24, 2014
  MiCA: Microbial Community Analysis
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APLAUS+ compares the data from one or more T-RFLP profiles to the outcomes of in silico analyses of sequences in the database done using the same primers and enzymes.

Welcome to the Microbial Community Analysis (MiCA) web site.

This web site and the tools you find here were developed by students and faculty of the Initiative for Bioinformatics and Evolutionary Studies (IBEST) at the University of Idaho who are members of the Departments of Computer Science and Biological Sciences. The research was funded by the P&G Company.

You can access an introduction to the tools available and instructions for their use by clicking the Help icon on the Home Page menu.

We hope you will find MiCA useful. Please any comments, suggestions or questions.


Note: Please cite: Shyu, C., Soule, T., Bent, S.J., Foster, J.A., Forney, L.J. (2007) MiCA: A Web-Based Tool for the Analysis of Microbial Communities Based on Terminal-Restriction Fragment Length Polymorphisms of 16S and 18S rRNA Genes. Journal of Microbial Ecology 53:562-570.

  m.i.c.r.o.b.i.a.l  c.o.m.m.u.n.i.t.y   a.n.a.l.y.s.i.s  i.i.i
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If you use the data generated by MiCA in a publication, please cite:
Shyu, C., Soule, T., Bent, S.J., Foster, J.A., Forney, L.J. (2007) MiCA: A Web-Based Tool for the Analysis of Microbial Communities Based on Terminal-Restriction Fragment Length Polymorphisms of 16S and 18S rRNA Genes. Journal of Microbial Ecology 53:562-570.

All rights reserved. Copyright ©, University of Idaho, 2007.
Last updated on January 23 2014 08:32:24.