Difference between revisions of "Textpresso"

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'''Textpresso''' is an information extracting and processing (text mining) package for biological literature whose  capabilities go far beyond that of a simple keyword search engine. The two  key elements are the collection of the full text of scientific articles split  into individual sentences, and the implementation of semantic categories, for  which a database of articles and individual sentences can be searched. The  source of the full text articles are PDFs, and additional bibliographical  information that is obtained from other citation databases can be processed  as well.  [http://ilex.caltech.edu/trac/alere/ Alere] is a package of scripts that can be used to construct a corpus (retrieve articles) for use with '''Textpresso''' .
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'''Textpresso''' is an information extracting and processing (text mining) package for biological literature whose  capabilities go far beyond that of a simple keyword search engine. The two  key elements are the collection of the full text of scientific articles split  into individual sentences, and the implementation of semantic categories, for  which a database of articles and individual sentences can be searched. The  source of the full text articles are PDFs, and additional bibliographical  information that is obtained from other citation databases can be processed  as well.  [http://ilex.caltech.edu/trac/alere/ Alere] is a package of scripts that can be used to construct a corpus (retrieve articles) for use with '''Textpresso'''.  Textpresso is supported by a grant from the National Human Genome Research Institute at the US National Institutes of Health # HG004090.
  
'''Textpresso''' was initially developed by Hans-Michael Muller, Eimear Kenny and Paul W. Sternberg, with contributions from Juancarlos Chan and David Chen. The new version (officially known as Textpresso 2.0) was developed by Hans-Michael Muller with contributions from Arun Rangarajan and Tracy K. Teal. Textpresso is part of [[:Category:WormBase|WormBase]] at the California Institute of Technology, California. Textpresso is supported by a grant from the National Human Genome Research Institute at the US National Institutes of Health # HG004090.
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== Versions ==
  
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=== Textpresso 1 & 2 ===
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Textpresso was initially developed by Hans-Michael Müller, Eimear Kenny and Paul W. Sternberg, with contributions from Juancarlos Chan and David Chen. Textpresso 2.0 was developed by Hans-Michael Müller with contributions from Arun Rangarajan and Tracy K. Teal. Textpresso is part of [[:Category:WormBase|WormBase]] at the California Institute of Technology, California.
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=== Textpresso 2 Extensions ===
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A [http://en.wikipedia.org/wiki/Fork_%28software_development%29 fork] of Textpresso has been created that contains a number of extensions to Textpresso 2.  These include
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* Interface overhaul, including [[Glossary#AJAX|AJAX]] and heavy integration of [http://datatables.net JQuery datatables], user authentication, and a GUI for managing the literature corpus.
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* Modularization and customization for better database support
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* Addition of a plug-in API
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* Speed increase
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These extensions were written by Nathan Liles of the [[User:JimHu|Hu Lab]] at Texas A&M University. Nathan [[:Image:Jan2010Testpresso.pdf|presented this work]] at the [[January 2010 GMOD Meeting]].  The Textpresso team plans to fold these extensions back into the main Textpresso code base in the future.
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The [http://sourceforge.net/projects/textpresso extended version of Textpresso 2 is available at SourceForge].
  
 
==Demo & Screenshots==
 
==Demo & Screenshots==

Revision as of 18:55, 12 March 2010

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http://textpresso.org}}

Textpresso is an information extracting and processing (text mining) package for biological literature whose capabilities go far beyond that of a simple keyword search engine. The two key elements are the collection of the full text of scientific articles split into individual sentences, and the implementation of semantic categories, for which a database of articles and individual sentences can be searched. The source of the full text articles are PDFs, and additional bibliographical information that is obtained from other citation databases can be processed as well. Alere is a package of scripts that can be used to construct a corpus (retrieve articles) for use with Textpresso. Textpresso is supported by a grant from the National Human Genome Research Institute at the US National Institutes of Health # HG004090.

Versions

Textpresso 1 & 2

Textpresso was initially developed by Hans-Michael Müller, Eimear Kenny and Paul W. Sternberg, with contributions from Juancarlos Chan and David Chen. Textpresso 2.0 was developed by Hans-Michael Müller with contributions from Arun Rangarajan and Tracy K. Teal. Textpresso is part of WormBase at the California Institute of Technology, California.

Textpresso 2 Extensions

A fork of Textpresso has been created that contains a number of extensions to Textpresso 2. These include

  • Interface overhaul, including AJAX and heavy integration of JQuery datatables, user authentication, and a GUI for managing the literature corpus.
  • Modularization and customization for better database support
  • Addition of a plug-in API
  • Speed increase

These extensions were written by Nathan Liles of the Hu Lab at Texas A&M University. Nathan presented this work at the January 2010 GMOD Meeting. The Textpresso team plans to fold these extensions back into the main Textpresso code base in the future.

The extended version of Textpresso 2 is available at SourceForge.

Demo & Screenshots

Please visit the live main site at www.textpresso.org for examples and screenshots.


Requirements

The package is designed for Linux operating systems and is tested to run on an Intel x86 based hardware. The required minimal disk space is around 6GB per 1000 full text papers, half of it is used by the publically (via WWW) accessible database, while the other half is needed for database preparation and maintenance. If necessary, the latter can be reduced.

  • Software for a world wide web server such as Apache needs to be installed, and an Internet connection should exist
  • Perl 5.6.1 or higher should be present, and the most common Perl packages.
  • The installation script requires bash
  • XML::Checker::Parser
  • XML::DOM::Parser
  • XML::XQL::DOM
  • XML::Checker::Parser,
  • Mailer::Mail (in MailTools-1.58)
  • PDF::Create (in PDF-Create).
  • If the model organism database is based on ACeDB then AcePerl is required
  • XPDF (http://www.foolabs.com/xpdf/), the pdftotext converter
  • RBT, a part-of-speech tagger developed by Eric Brill (blog, homepagedeprecated). RBT seems to be no longer available at JHU. A copy appears to be available at Københavns Universitet (I didn't download and check it). RBT is distributed free of charge under a license of the Massachusetts Institute of Technology and the University of Pennsylvania. If you want to recompile either of the packages, you additionally need a C compiler.

This package has been tested with the Linux RedHat 9.0 distribution (http://www.redhat.com) and Debian Linux 3.1 (http://www.debian.org) . Both work with a 2.4.20 kernel or higher.

Documentation

Contact

Hans-Michael Müller, mueller (at) caltech.edu

Downloads

http://www.textpresso.org/textpresso/downloads.html