Provider:
IceLogo
Location:
Belgium
Submitter / Source:
Pieter Neerincx (10 months ago)
Base URL:
http://iomics.ugent.be/icelogoserver/services/icelogo
WSDL Location:
http://iomics.ugent.be/icelogoserver/IceLogo.wsdl(download last cached WSDL file)
Documentation URL(s): Pieter Neerincx (10 months ago)http://iomics.ugent.be/icelogoserver/main.html
Login to add a documentation URL Description(s): Pieter Neerincx (10 months ago)IceLogo generates sequence logos to visualize conserved patterns in nucleotide and protein sequences. A sequence logo is a histogram-like presentation in which bars are vertical stacks of symbols, the stack height reflects the level of conservation and the height of individual symbols is a measure for their frequency at a given position. IceLogo takes the analysis and visualisation of consensus patterns in aligned peptide sequences to a new level by building on probability theory instead of relying on information theory. Basically the iceLogo algorithm takes the experimental set normally used to generate a sequence logo and compares it with a reference set. This reference set can be configured by the user allowing it to be tailored to an approximation of the expected background distribution. The experimental sequence set is generally a multiple sequence alignment of peptides that are expected to share sequence features. The result is shown in complementary illustrations like heat maps, amino acid parameter graphs and iceLogos, which were all developed to aid analysis, visualisation and understanding of consensus sequences in an intuitive way.
Login to add a description License(s): None Login to add license info Cost: No info yet Login to add cost info Usage Conditions: No info yet Login to add usage conditions info Contact Info: None Login to add contact info Publications: for this service. This can be a URI to the publication and/or a DOI. Pieter Neerincx (10 months ago)Improved visualization of protein consensus sequences by iceLogo.
Colaert N, Helsens K, Martens L, Vandekerckhove J, Gevaert K.
Nat Methods. 2009 Nov;6(11):786-7.
doi:10.1038/nmeth1109-786
Login to add publication info Citations: None Login to add a citation