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Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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RICHEST--a web server for richness estimation in biological data.

Chris Durden1, Qunfeng Dong

  • 1Center for Genomics and Bioinformatics, Indiana University, Bloomington, Indiana, USA.

Bioinformation
|March 19, 2009
PubMed
Summary

Estimating species richness is crucial but complex. The new RICHness ESTimator (RICHEST) web server simplifies this using three statistical methods, making data analysis accessible.

Keywords:
biological datacomplexdiversity estimationpopulationsimple

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Area of Science:

  • Ecology
  • Bioinformatics
  • Computational Biology

Background:

  • Species richness estimation is vital for ecological and biodiversity studies.
  • Existing mathematical and computational methods for richness estimation are often complex and difficult to implement.
  • There is a need for user-friendly tools to facilitate richness estimation.

Purpose of the Study:

  • To develop a web server for estimating species richness.
  • To implement and provide access to three non-parametric statistical methods for richness estimation.
  • To offer a user-friendly interface for analyzing and comparing ecological data.

Main Methods:

  • Development of a web server named RICHness ESTimator (RICHEST).
  • Implementation of three established non-parametric statistical methods for richness estimation.
  • Creation of a web-based interface for data input and analysis.

Main Results:

  • The RICHEST web server provides a convenient platform for richness estimation.
  • Users can analyze and compare their data using multiple statistical methods through a web interface.
  • The tool simplifies complex calculations, aiding researchers in biodiversity assessments.

Conclusions:

  • RICHEST offers an accessible solution for species richness estimation.
  • The web server democratizes the use of advanced statistical methods in ecological research.
  • This tool can enhance the efficiency and accuracy of biodiversity studies.