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PMut

Performs pathology predictions, gives access to a repository of pre-calculated predictions and generates and validates new predictors. PMut is a web-based tool that offers a generally trained predictor performing with current available methods and allows user to access an automatic procedure to train new predictors with specific datasets or features. The software was trained using the manually curated variation database SwissVar.

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PMut forum

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PMut classification

PMut specifications

Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Stability:
Beta

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PMut classification

PMut specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python, Shell (Bash)
Computer skills:
Advanced
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
MIT License
Version:
0.1.1
Requirements:
anaconda

PMut distribution

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PMut support

Maintainers

  • Josep Ll. Gelpí <>
  • Modesto Orozco <>
  • PMut Team <>
  • Josep Ll. Gelpí <>
  • Modesto Orozco <>
  • PMut Team <>

Additional information

http://mmb.pcb.ub.es/PMut/help http://mmb.pcb.ub.es/pmut2017/PyMut-tutorial

Credits

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Publications

Institution(s)

Barcelona Supercomputing Center (BSC), Barcelona, Spain; Joint Program BSC-CRG-IRB Research Program for Computational Biology, Barcelona, Spain; Institute for Research in Biomedicine (IRB) Barcelona, The Barcelona Institute of Science and Technology, Barcelona, Spain; Vall d’Hebron Institute of Research (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain; ICREA, Barcelona, Spain; Dept. of Biochemistry and Molecular Biomedicine, University of Barcelona, Barcelona, Spain

Funding source(s)

Spanish Ministry of Science [BIO2015-64802-R-32868, SEV-2015-0493, TIN2012-34557, TEC2015-67774-C2-2-R, SAF2016-80255-R], Catalan Government [2014-SGR-134,2014-SGR-1051], Instituto de Salud Carlos III-Instituto Nacional de Bioinformatica [INB; PT13/0001/0019, PT13/0001/0028], European Union, H2020 programme [Elixir-Excelerate: 676559; BioExcel: 674728 and MuG:676566] and La Caixa Foundation fellowship.

Link to literature

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