GPCRSclass – SVM based Classification of Amine Type of GPCR

GPCRSclass

:: DESCRIPTION

 GPCRSclass is a dipeptide composition based method for predicting Amine Type of G-protein-coupled receptors. In this method type amine is predicted from dipeptide composition of proteins using SVM.

::DEVELOPER

 GPCRSclass Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Bhasin M, Raghava GPS.
GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors.
Nucleic Acids Res.(2005). 33(Web Server issue):W143-7

RNAcon 1.0 – Classification of non-coding RNAs (ncRNA)

RNAcon 1.0

:: DESCRIPTION

RNAcon is a web-server for the prediction and classification of non-coding RNAs. It uses SVM-based model for the discrimination between coding and ncRNAs and RandomForest-based prediction model for the classification of ncRNAs into different classes. The structural information based graph properties were used for the development of prediction model.

::DEVELOPER

RNAcon team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 RNAcon

:: MORE INFORMATION

Citation

Panwar, B; Arora, A. and Raghava GP (2014)
Prediction and classification of ncRNAs using structural information
BMC Genomics 2014, 15:127

EGFRpred – Classification of Active and Inactive Anti-egfr Compounds

EGFRpred

:: DESCRIPTION

EGFRpred is a web service for the predicting and designing of inhibitors against EGFR (a cell surface receptor whose overexpression is known to cause cancer).

::DEVELOPER

EGFRpred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest.
Singh H, Singh S, Singla D, Agarwal SM, Raghava GP.
Biol Direct. 2015 Mar 25;10(1):10.

GECES – Gene Expression Classification

GECES

:: DESCRIPTION

GECES is a web-server for Gene expression classification using epigenetic features and DNA sequence composition in the human embryonic stem cell line H1

::DEVELOPER

The Li’s Group of Theoretical Biophysics and Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Gene. 2016 Oct 30;592(1):227-234. doi: 10.1016/j.gene.2016.07.059. .
Gene expression classification using epigenetic features and DNA sequence composition in the human embryonic stem cell line H1.
Su WX, Li QZ, Zhang LQ, Fan GL, Wu CY, Yan ZH, Zuo YC

 

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Clean_tree 2 – High-resolution Male Lineage Classification

Clean_tree 2

:: DESCRIPTION

Clean tree is a tool intended to help interpret phylogenetic SNP genotypes obtained from NGS-data, furthermore it uses a quality control system to ensure the accuracy of the obtained results.

::DEVELOPER

Dept Genetic Identification ErasmusMC Rotterdam

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
  • R

:: DOWNLOAD

  Clean tree

:: MORE INFORMATION

Citation

Ralf, A., van Oven, M., Zhong, K., Kayser, M.
Simultaneous analysis of hundreds of Y-chromosomal SNPs for high-resolution paternal lineage classification using targeted semiconductor sequencing.
Hum Mutat. 2015 36: 151-9. PubMed: 25338970

Forensic Y-SNP analysis beyond SNaPshot: High-resolution Y-chromosomal haplogrouping from low quality and quantity DNA using Ion AmpliSeq and targeted massively parallel sequencing.
Ralf A, Oven M, Montiel González D, de Knijff P, van der Beek K, Wootton S, Lagacé R, Kayser M.
Forensic Science International: Genetics , 2019

Kraken 1.1.1 – Kraken Taxonomic Sequence Classification System

Kraken 1.1.1

:: DESCRIPTION

Kraken is a very fast system for taxonomic classification of short or long DNA sequences from a microbiome or metagenomic sample.

::DEVELOPER

The Center for Computational Biology at Johns Hopkins University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Mac OsX

:: DOWNLOAD

 Kraken

:: MORE INFORMATION

Citation

Genome Biol. 2014 Mar 3;15(3):R46. doi: 10.1186/gb-2014-15-3-r46.
Kraken: ultrafast metagenomic sequence classification using exact alignments.
Wood DE, Salzberg SL.

CoMeta 0.3 – Classification of Metagenomes using k-mers

CoMeta 0.3

:: DESCRIPTION

CoMeta is a tool used to assigns a query read (DNA fragment) from metagenomic sample into one of the groups (the most common the taxon).

::DEVELOPER

REFRESH Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows

:: DOWNLOAD

 CoMeta

:: MORE INFORMATION

Citation

PLoS One. 2015 Apr 17;10(4):e0121453. doi: 10.1371/journal.pone.0121453. eCollection 2015.
CoMeta: classification of metagenomes using k-mers.
Kawulok J, Deorowicz S

Cartaj r14 – Classification Of RNA Threeway Junctions

Cartaj r14

:: DESCRIPTION

Cartaj automatically predicts the topological family of any RNA three-way junction, given only the information from the secondary structure: the sequence and the canonical Watson–Crick pairings.

::DEVELOPER

Cartaj team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /Windows/MacOsX
  • Ruby

:: DOWNLOAD

 Cartaj 

:: MORE INFORMATION

Citation

Comput Biol Chem. 2012 Apr;37:1-5. doi: 10.1016/j.compbiolchem.2011.11.001. Epub 2012 Jan 11.
Automated prediction of three-way junction topological families in RNA secondary structures.
Lamiable A1, Barth D, Denise A, Quessette F, Vial S, Westhof E.

AutoFACT 3.4 – An Automatic Functional Annotation and Classification Tool

AutoFACT 3.4

:: DESCRIPTION

AutoFACT is a program that analyses nucleotide and protein sequence data, deriving informative functional descriptions by combinining multiple BLAST reports from a selection of databases. AutoFACT assigns functional information, enzyme clasees, and Gene Ontology terms where possible.

::DEVELOPER

the Burger-Lang Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

 AutoFACT

:: MORE INFORMATION

Citation

AutoFACT: an automatic functional annotation and classification tool.
Koski LB, Gray MW, Lang BF, Burger G.
BMC Bioinformatics. 2005 Jun 16;6:151.

BLOG 2.0 – Classification of Animal Species with Barcodes

BLOG 2.0

:: DESCRIPTION

BLOG (Barcoding with LOGic formulas) is a application devoted to the automatic classification of animal species through the analysis of a small portion of mitochondrial DNA, DNA Barcode.

::DEVELOPER

DMB (Data Mining Big) Team

:: SCREENSHOTS

blog

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • java

:: DOWNLOAD

  BLOG

:: MORE INFORMATION

Citation

Learning to classify species with barcodes
Paola Bertolazzi, Giovanni Felici and Emanuel Weitschek
BMC Bioinformatics 2009, 10(Suppl 14):S7

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