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Welcome to the BioComputing Center!

This site was built mostly for the education of Bioinformatics, Biostatistics, Biocomputing and/or Computational Biology in China University of Geoscience. We integrated our program packages with freewares such as Blast, EMBOSS and WebPhylip for sequence analysis and data mining in our biology laboratory.

QIIME: Quantitative Insights Into Microbial Ecology. QIIME (canonically pronounced "Chime") is a pipeline for performing microbial community analysis that integrates many third party tools which have become standard in the field. QIIME is designed to generate lists of OTUs from very large datasets (mostly those generated by pyrosequencing), and to perform phylogenetic and nonphylogenetic OTU-based analyses. It performs sequence quality checks and chimera-checking, chooses OTUs, performs Sequence-, UniFrac- and OTU-based clustering of samples from which the sequences were obtained, assigns sequences to microbial lineages, displays heatmaps of common and rare OTUs in samples, performs rarefaction analys is for an assessment of depth of coverage, builds very large trees for tree-based community comparisons such as UniFrac, and applies a network-based analysis.

RStudio Server enables you to provide a browser based interface (the RStudio IDE) to a version of R running on a remote Linux server. Deploying R and RStudio on a server has a number of benefits, including: The ability to access your R workspace from any computer in any location; Easy sharing of code, data, and other files with colleagues; Allowing multiple users to share access to the more powerful compute resources (memory, processors, etc.) available on a well equipped server; and Centralized installation and configuration of R, R packages, TeX, and other supporting libraries.

And we afford some resources for download(ftp://bio.cug.edu.cn, Only for campus intranet)and websites links which were often used in bioinformatics.


Now, this site is going on test. If you have any questions or suggestions, please mail to me.


Acknowledgments: Thanks for using Linux, Apache, MySQL, Perl and the other Open Source Softwares!
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