Search Results for "search engine optimization"

The Sashimi project hosts the Trans-Proteomic Pipeline (TPP), a mature suite of tools for mass-spec (MS, MS/MS) based proteomics: statistical validation, quantitation, visualization, and converters from raw MS data to the open mzML/mzXML formats.

This tool is a web-based search engine for regular expressions in the proteomes, all the information is obtained from the JGI (Joint Genome Institute) database through a scraper for all the available species; therefore this tool only considers fungi organisms. In this version, we use React JS in front-end and NodeJS + Express for back-end. Full Documentation Available on: https://victormiguelterronmacias.slite.page/p/J7BJU3hXhd72EJ/FungiRegEx-Software-documentation If you want to buy me a coffee: https://www.paypal.com/donate/?...

September 2021: the code repository has migrate to https://github.com/UWPR/Comet Comet is an open source tandem mass spectrometry (MS/MS) sequence database search engine. It identifies peptides by searching MS/MS spectra against sequences present in protein sequence databases. Comet currently exists as a simple Windows or Linux command line binary that only does MS/MS database search. Supported input formats are mzXML, mzML, ms2, and Thermo RAW files. Supported output formats are tab-delimited text, Percolator pin, SQT, and pepXML Documentation and project website: http://comet-ms.sourceforge.net

GUI front-end to sequest.exe proteomics search engine, developed in Perl. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/sequestgui/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining.

GUI front-end for the OMSSA proteomics search engine. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/omssagui/code/ci/default/tree/README.md - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M., & Abian, J. (2014). A collection of open source applications for mass spectrometry data mining.

TIES (Text Information Extraction System) is a clinical text search engine that uses Natural Language Processing techniques to extract medical concepts from free text clinical reports. It provides secure de-identified access to this information and has in built collaboration tools and honest broker functionality. It is licensed for academic use under the BSD license. For commercial use please contact Nexi at http://nexihub.com *** NOTICE: this software and forum are no longer maintained, as of 8/15/2019. ...

This is a pure Python CGI-based implementation of a taxonomically intelligent species search engine. It searches biological databases for a taxonomic name. The search is done "on the fly" using web services (SOAP/XML) or URL API's.

Open Source MS/MS algorithm with integrated target-decoy based FDR. Reference- http://pubs.acs.org/doi/abs/10.1021/pr200031z , Check out the wiki site for help and support - https://sourceforge.net/apps/mediawiki/masswiz/index.php?title=Main_Page

Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.

Protein Data Bank transformed into an SQL database with a very powerful search engine and a rich web interface. The engine combines chemical, sequence and 3D structure searches. The interface provides statistics, sequence and 3D structure alignments.

a DNA search engine based on statistical n-gram segment and lucene.net. a paper: http://arxiv.org/abs/1006.4114

ProteinFinder - a C language parallel computing engine for tandem protein mass spectrometry database search. ProteinFinder is interfaced with MySQL relational database MassSpec that hosts the experimental data, predicted databases, and search results.

TSE is a test bed for a web service approach to federating taxonomic name databases. Put in English, it takes your query and talks to a number of different databases, asking each one whether they contain that name.

This projects intends to develop a complete distributed peer-to-peer environment for running heuristic optimization, modelling, artificial life, etc applications. This involves a network engine, libraries and different user interfaces. All this in java.

Vertical search engine for health data based on PHP and Zend Framework. Data-mining health-related databases provided by US government agencies.