ExUTR 2017 – Prediction of 3′-UTR Sequences from NGS data

ExUTR 2017

:: DESCRIPTION

ExUTR is a practical and powerful tool that enables rapid genome-wide 3′-UTR prediction from massive RNA-Seq data

::DEVELOPER

ExUTR team,

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

ExUTR

:: MORE INFORMATION

Citation

Huang Z, Teeling EC.
ExUTR: a novel pipeline for large-scale prediction of 3′-UTR sequences from NGS data.
BMC Genomics. 2017 Nov 6;18(1):847. doi: 10.1186/s12864-017-4241-1. PMID: 29110697; PMCID: PMC5674806.

SUMOsp 2.0.4 / GPS-SUMO 1.0 – SUMOylation sites Prediction

SUMOsp 2.0.4 / GPS-SUMO 1.0

:: DESCRIPTION

SUMOsp  based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level.

GPS-SUMO is a tool for the prediction of sumoylation sites and SUMO-interaction motifs.

::DEVELOPER

The CUCKOO Workgroup

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / WIndows / MacOsX
  • Java

:: DOWNLOAD

 SUMOsp , GPS-SUMO

:: MORE INFORMATION

Citation

GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs.
Zhao Q, Xie Y, Zheng Y, Jiang S, Liu W, Mu W, Liu Z, Zhao Y, Xue Y, Ren J.
Nucleic Acids Res. 2014 May 31. pii: gku383

Systematic study of protein sumoylation: Development of a site-specific predictor of SUMOsp 2.0.
Jian Ren, Xinjiao Gao, Changjiang Jin, Mei Zhu, Xiwei Wang, Andrew Shaw, Longping Wen, Xuebiao Yao and Yu Xue.
Proteomics.2009; 9:3409-3412

HEA-PSP – Ab-initio Protein Structure Prediction

HEA-PSP

:: DESCRIPTION

HEA-PSP is a hybrid evolutionary search framework with various crossover implementations for Ab-initio protein structre prediction

::DEVELOPER

Computational Biology lab, George Mason University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

  HEA-PSP

:: MORE INFORMATION

Citation

Brian Olson, Kenneth A. De Jong, and Amarda Shehu.
Off-Lattice Protein Structure Prediction with Homologous Crossover.
GECCO 2013, pages 287-294, Amsterdam,

SEPPA 3.0 – Server for Conformational B-cell Epitope Prediction

SEPPA 3.0

:: DESCRIPTION

SEPPA (Spatial Epitope Prediction of Protein Antigens) is spatial epitope prediction for protein antigens, particularly for N-linked glycoproteinsmeu ip

::DEVELOPER

Dr. Zhiwei Cao

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Winodows / Linux
  • Python
:: DOWNLOAD
:: MORE INFORMATION
Citation
Zhou C, Chen Z, Zhang L, Yan D, Mao T, Tang K, Qiu T, Cao Z.
SEPPA 3.0-enhanced spatial epitope prediction enabling glycoprotein antigens.
Nucleic Acids Res. 2019 Jul 2;47(W1):W388-W394. doi: 10.1093/nar/gkz413. PMID: 31114919; PMCID: PMC6602482.
SEPPA 2.0-more refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen.
Qi T, Qiu T, Zhang Q, Tang K, Fan Y, Qiu J, Wu D, Zhang W, Chen Y, Gao J, Zhu R, Cao Z.
Nucleic Acids Res. 2014 May 16. pii: gku395

BetAware – Beta-Barrel Detection and Topology Prediction

BetAware

:: DESCRIPTION

BETAWARE is a software package designed for the analysis of trans-membrane beta-barrel proteins.

::DEVELOPER

Castrense Savojardo

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX
  • Python
  • python argparse library
  • python numpy

:: DOWNLOAD

  BetAware

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Feb 15;29(4):504-5. doi: 10.1093/bioinformatics/bts728. Epub 2013 Jan 6.
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes.
Savojardo C, Fariselli P, Casadio R.

RPISeq – RNA-Protein Interaction Prediction

RPISeq

:: DESCRIPTION

RPISeq is a family of classifiers for predicting RNA-protein interactions using only sequence information.

::DEVELOPER

RPISeq team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

BMC Bioinformatics. 2011 Dec 22;12:489. doi: 10.1186/1471-2105-12-489.
Predicting RNA-protein interactions using only sequence information.
Muppirala UK1, Honavar VG, Dobbs D.

miR-AT! 1.6 – Prediction of Combinatorial Activity of microRNAs

miR-AT! 1.6

:: DESCRIPTION

miR-AT! is a computational tool for the identification of all transcripts that are targets of a list of input miRNAs.

::DEVELOPER

Dombkowski Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Dombkowski A.A., Sultana, Z., Craig, D.B., Jamil, H.,
In silico analysis of combinatorial microRNA activity reveals target genes and pathways associated with breast cancer metastasis.
Cancer Informatics, 2011;10:13-29

TargetProfiler – miRNA Target Prediction tool

TargetProfiler

:: DESCRIPTION

Targetprofiler is a novel miRNA target prediction tool that utilizes a probabilistic learning algorithm in the form of a hidden Markov model trained on experimentally verified miRNA targets.

::DEVELOPER

Ioannis Iliopoulos’ Bioinformatics & Computational Biology Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

RNA Biol. 2012 Sep;9(9):1196-207. doi: 10.4161/rna.21725. Epub 2012 Sep 1.
A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2.
Oulas A1, Karathanasis N, Louloupi A, Iliopoulos I, Kalantidis K, Poirazi P.

LOGICOIL – Multi-state Coiled-coil Oligomeric State prediction

LOGICOIL

:: DESCRIPTION

LOGICOIL, the first algorithm to address the problem of predicting multiple coiled-coil oligomeric states from protein-sequence information alone.

::DEVELOPER

WOOLFSON lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

LOGICOIL: Multi-state classification of coiled-coil oligomeric state.”
T. L. Vincent, P.J. Green and D. N. Woolfson.
Bioinformatics (2013) 29 (1): 69-76.

PepFly – Peptide Flyability Prediction

PepFly

:: DESCRIPTION

PepFly constructs a dataset for easy importation into the Weka machine learning toolkit from MS datasets to predict the flyability of peptides.

:: DEVELOPER

AgBase

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/MacOsX/Linux
  • Perl

:: DOWNLOAD

  PepFly

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2007 Nov 1;8 Suppl 7:S23.
Prediction of peptides observable by mass spectrometry applied at the experimental set level.
Sanders WS, Bridges SM, McCarthy FM, Nanduri B, Burgess SC.