NetCSSP 20200622 – Neural networks for calculating Contact-dependent Secondary Structure Propensity

NetCSSP 20200622

:: DESCRIPTION

NetCSSP is an applications in predicting non-native secondary structures and amyloid fibril formation.

::DEVELOPER

Lab of Bioinformatics and Molecular Design

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

 :: MORE INFORMATION

Citation

Nucleic Acids Res. 2009 Jul;37(Web Server issue):W469-73. doi: 10.1093/nar/gkp351. Epub 2009 May 25.
NetCSSP: web application for predicting chameleon sequences and amyloid fibril formation.
Kim C, Choi J, Lee SJ, Welsh WJ, Yoon S.

DeepNano – Deep Recurrent Neural Networks for Base Calling in MinION Nanopore Reads

DeepNano

:: DESCRIPTION

DeepNano is a base caller for MinION, the smallest DNA sequencer currently available.

:: DEVELOPER

Computational Biology @ Comenius University in Bratislava

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

DeepNano

:: MORE INFORMATION

Citation

PLoS One. 2017 Jun 5;12(6):e0178751. doi: 10.1371/journal.pone.0178751. eCollection 2017.
DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads.
Boža V1, Brejová B1, Vinař T1.

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