TFPredict has moved to https://github.com/draeger-lab/TFpredict.

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You can download the latest version of TFpredict on this page. As we would like to know, who is using our program in order to inform you about new versions, we kindly ask you to register before downloading the software. The registration is optional and no prerequisite for downloading the tool. You can find instructions for installing and using TFpredict in the documentation section. The terms of use are specified in the license of this software.

Type Size Version
TFpredict 14 MB 1.3 (2015-04-27)

Requirements



Registration

We would like to know who is using TFpredict. We will use this information only to keep track of downloads and to inform you about updates. Apart from this, your personal data will not be used for any other purpose nor divulged to third parties.

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License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/gpl.html.

GPL version 3


Included third-party software



Integrated data

We retrieved the labeled data needed for our supervised machine learning approach for TF/Non-TF classification and structural characterization from diverse data bases. Specifically, TF sequences were obtained from the commercial, hand-curated databases TransFac (Biobase) and MATBASE (Genomatix). the two databases were unified, filtered for redundant entries, and their structural superclasses were obtained from TransFac. Furthermore, a dataset of Non-TF sequences was compiled by querying UniProt with specific keywords which are unambigously referring to other functional classes of proteins (e.g., "histone", "kinase", "transmembrane protein", "chaperon", etc.). An overview of our data sources can be found here:

TRANSFAC:http://www.biobase-international.com/pages/index.php?id=transfac
MATBASE:http://www.genomatix.de/online_help/help_matbase/matbase_help.html
UniProt:http://www.uniprot.org