Abstract
Richness is defined as the number of distinct species or classes in a sample or population. Although richness estimation is an important practice, it requires mathematical and computational methods that are challenging to understand and implement. We have developed a web server, RICHness ESTimator (RICHEST), which implements three non-parametric statistical methods for richness estimation. Its user-friendly web interface allows users to analyze and compare their data conveniently over the web. A web server hosting RICHEST is accessible at http://richest.cgb.indiana.edu/cgi-bin/index.cgi and the software is freely available for local installations.
Highlights
Characterizing biological diversity has been a longstanding interest among biologists
Biologists are left with mathematical formulations that may be prohibitively complicated to use with their data
We have developed a web-based server, RICHness ESTimator (RICHEST), which implements sophisticated statistical methods for richness estimation
Summary
Characterizing biological diversity has been a longstanding interest among biologists. Methods published by statisticians are not always implemented into convenient computer programs for biologists. We have developed a web-based server, RICHness ESTimator (RICHEST), which implements sophisticated statistical methods for richness estimation.
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