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Naive Bayesian Classifier: Home

Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. Se the tabs on the top-right of the page to navigate. Extensive help pages, which provide detailed explanation of NBC's interface and functions, are available. For further questions, comments or suggestions, please contact us: naivebayesclassifier (at) gmail dot com. O start your analysis click here.

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Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. Se the tabs on the top-right of the page to navigate. Extensive help pages, which provide detailed explanation of NBC's interface and functions, are available. For further questions, comments or suggestions, please contact us: naivebayesclassifier (at) gmail dot com. O start your analysis click here.
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Naive Bayesian Classifier: Home | nbc.ece.drexel.edu Reviews

https://nbc.ece.drexel.edu

Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. Se the tabs on the top-right of the page to navigate. Extensive help pages, which provide detailed explanation of NBC's interface and functions, are available. For further questions, comments or suggestions, please contact us: naivebayesclassifier (at) gmail dot com. O start your analysis click here.

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Naive Bayesian Classifier: FAQ

http://nbc.ece.drexel.edu/FAQ.php

How do I cite your work? Please cite one of the following papers:. Wow - you just added almost 50,000 fungal species! Where'd you get these from? I only sent the server a small number of reads - why haven't I received my results yet? E optimized the NBC algorithm to perform quickly on large datasets. There is an overhead of about 3-4 hours on any given job. Therefore, only 1 read will take 3-4 hours to score! But how do I know which assignments are "confident"? Reat question. Right now, the best way ...

2

Naive Baysian Classifier: Genetic Scoring

http://nbc.ece.drexel.edu/download.php

Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. His website is based upon work supported by the National Science Foundation (NSF) under Grant No. DBI-0845827 and under Department of Energy (DOE) award DE-SC0004335. Any opinions, findings, and conclusions or recommendations expressed in this website do not necessarily reflect the views of the NSF or DOE.

3

Naive Bayesian Classifier: Analysis Jobs

http://nbc.ece.drexel.edu/newJob.php

Enter the following information below. F you would like to download the current genome list, right click here. And chose the Save link as. If you would like to edit the genome list to use in your analysis, be sure to check the Upload my genome list. If not checked, the default genome list will be used for analysis. If you choose to use your own genome list, be sure to save it as a text file (*.txt). You may choose which genome to score against: Bacteria/Archaea, Viruses, or Fungi.*.

4

Naive Bayesian Classifier: Home

http://nbc.ece.drexel.edu/index.php

Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. Se the tabs on the top-right of the page to navigate. Extensive help pages, which provide detailed explanation of NBC's interface and functions, are available. For further questions, comments or suggestions, please contact us: naivebayesclassifier (at) gmail dot com. O start your analysis click here.

5

Naive Bayesian Classifier: Home

http://nbc.ece.drexel.edu/publications.php

Gail L. Rosen, Erin R. Reichenberger, and Aaron M. Rosenfeld, NBC: the Naïve Classification tool webserver for taxonomic classification of metagenomic reads, Bioinformatics 27 (2011), no. 1, 127 129. Gail Rosen, Elaine Garbarine, Diamantino Caseiro, Robi Polikar, and Bahrad Sokhansanj. "Metagenome fragment classification using N-mer frequency profiles," Advances in Bioinformatics, September 2008.

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compsysbio.org compsysbio.org

Gist

http://www.compsysbio.org/gist

Evolution of biological complexity. Generative Inference of Sequence Taxonomy. The study of entire microbial communities using mRNA shotgun sequencing ( meta-transcriptomics. Composition analysis using Naive Bayes. As well as a number of new or unusual techniques (on-the-fly gene translation using FragGeneScan. Support for priors specified as expected abundances, composition analysis using Gaussian mixture models and Expected Codelta Correlation, and a neural network based approach for balancing method w...

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http://extrememicrobiome.org/methods

XMP 2016. ALL RIGHT RESERVED. The Extreme Microbiome Project is testing various methods for recovering DNA and RNA from our unique samples, as well as evaluating bioinformatics tools to detect and describe sample components. The Metagenomics Research Group is currently finalizing DNA extraction protocols to determine which method is most effective for the unique samples we are collecting. The following protocols are currently being tested:. The following protocols are currently being tested:. Major tools...

rosenfeld.io rosenfeld.io

Aaron M. Rosenfeld | Projects

http://www.rosenfeld.io/projects

Aaron M. Rosenfeld. ImmuneDB 2014 – present. ImmuneDB is a Python system for the processing of IGHV sequencing data including V- and J-gene identification, clonal assignment, mutation analysis, and lineage construction. It is implemented as a suite of command line tools, uses MySQL to store all information, and provides a web interface, implemented in React, for visualization. Transport Engine 2012 – 2014. Ahoy 2010 – 2011. PhpWatch 2008 – present. I am the lead developer of phpWatch, a free, open-source...

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Naive Bayesian Classifier: Home

Ownload binary distributions compiled for Linux and OSX Snow Leopard:. Compatible with Snow Leopard (OSX 10.6) only. Se the tabs on the top-right of the page to navigate. Extensive help pages, which provide detailed explanation of NBC's interface and functions, are available. For further questions, comments or suggestions, please contact us: naivebayesclassifier (at) gmail dot com. O start your analysis click here.

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