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booiiing

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EPR-Solver

Created: 2009-06-05 16:46:06 | Last updated: 2009-06-05 18:10:35

Credits: booiiing

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This little perl-script automatically probes all assignments (g1, g2, g3) to (gx, gy, gz) (including negated values) in EPR/ESR (electron paramagnetic resonance / electron spin resonance) and tests them for several conditions. In the end, it gives you the assignements, as well as Eg, E1, E2, V/Delta and a, b, c. It is published under the terms of the GNU General Public Licence. Thus uploading is allowed for everyone to make it easier to contribute.

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Gerard Schaafsma

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raven.properties file

Created: 2009-05-28 10:28:47

Credits: Gerard Schaafsma

License: Creative Commons Attribution-Share Alike 3.0 Unported License

For those having problems starting Taverna 1, please try this. Put this file in de conf directory inside the taverna directory (where the runme.bat is), and restart Taverna.

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Marco Roos

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New run.sh for Taverna 2 (in case of problems with n...

Created: 2009-05-28 09:25:03

Credits: Marco Roos

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This may help solve problems with T2 snapshot.

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Insilic...

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Knime Data Table for Antiviral activity multiclass P...

Created: 2020-03-25 06:18:32

Credits: Insilicoconsulting

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is the CTD data table associated with my recent workflow Antiviral activity multiclass Predictor.

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Miriam Payá

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workflow as file

Created: 2020-03-18 09:00:34

Credits: Miriam Payá

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Galaxy wf for rnaseq analysis with diff expr

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Hanne Vriens

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ISA-TAB-Nano templates in vivo (MOD-ENP-TOX)

Created: 2016-02-26 13:34:38

Credits: Hanne Vriens

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The files hosted here are Excel-based templates for the creation of ISA-TAB-Nano datasets which were developed within the context of the MOD-ENP-TOX project [http://fys.kuleuven.be/apps/modenptox/project_objectives.php]. The files are specifically designed to store in vivo toxicity data of nanomaterials.

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Hanne Vriens

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ISA-TAB-Nano templates in vitro (MOD-ENP-TOX)

Created: 2016-02-26 13:32:14

Credits: Hanne Vriens

License: Creative Commons Attribution-Share Alike 3.0 Unported License

The files hosted here are Excel-based templates for the creation of ISA-TAB-Nano datasets which were developed within the context of the MOD-ENP-TOX project [http://fys.kuleuven.be/apps/modenptox/project_objectives.php]. The files are specifically designed to store in vitro toxicity data of nanomaterials.

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Robert Muetzelfeldt

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Miniworld model in Systo JSON format

Created: 2015-05-22 15:32:23

Credits: Robert Muetzelfeldt

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Miniworld model in Systo JSON format

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Amrish Mahes

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example output of the concept profile generation pip...

Created: 2014-06-26 14:52:48

Credits: Amrish Mahes

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is an example output the workflow "Concept Profile Generation Pipeline" produces when the input for the thesaurus is the thesaurus example in the workflow itself and the abstract input is from the SQL file named "example standard input for Concept Profile Generation Pipeline". This SQL file needs to be run in a SQL program with a pre-created database/schema called mydb. It produces 5 tables. These consists out of the co-occurrence, occurrence, unce...

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Amrish Mahes

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example standard input for Concept Profile Generatio...

Created: 2014-06-26 14:36:00

Credits: Amrish Mahes

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is a SQL file containing example standard input values for testing the concept profile generation pipeline. Run this SQL file in your SQL program with a pre-created database/schema named mydb. It will insert 1 table called abstracts with 10 abstracts and their pubmed id. The workflow will use this table as input for finding concept occurrences.

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