CHD:Prioritize

Candidates

Models

Training genes

Results

Sprint plot

XML

Annotation - EnsemblEst
Annotation - GeneOntology
Annotation - Interpro
Annotation - Kegg
Annotation - Swissprot
Blast
CisRegModule
Expression - SonEtAl
Expression - SuEtAl
Interaction - Bind
Interaction - BioGrid
Interaction - Hprd
Interaction - InNetDb
Interaction - Intact
Interaction - Mint
Interaction - String
Motif
Precalculated - Ouzounis
Precalculated - Prospectr
Text

Note: Models are selected based on a leave-one-out cross validation procedure performed on the predefined training genes. Normally, you should not need to change this.

Training genes (

0 gene

)

	Gene (Reference ID)	Alias	Description
none yet

Add following genes

Note: modifying predefined training set might increase the prioritization running time. Depending on the data sources selected, it might take between 5 and 10 minutes.

bla bla

Prioritize candidates according to -- choose -- Heart field specific First heart field Second heart field Left-right signaling Angio-/vasculogenesis Valve formation Neural crest cells
Candidate genes to prioritize (

0 gene

)

	Gene (Reference ID)	Alias	Description
none yet

Add following candidates

Launch prioritization Advanced options

Ready

 

 

Console (warnings and errors)

clear

Prioritization: Through this page, you can prioritize a set of candidate genes using Endeavour.
In the basic setting, you can load genes by HUGO or Ensembl gene identifier or by chromosomal region
(see tool tips for more information) and prioritize them w.r.t. a molecular process of choice (drop-down menu).
By clicking on Advanced Options, you can further specify a set of known genes against which to prioritize
and select the data sources that are used for prioritization. You start prioritization with Launch Prioritization
and obtain the results of the prioritization in a second window. The sprint plot
provides a visual representation of how each candidate ranks globally and per data source individually.
Top ranking genes are given a color to track them more easily. Results can be exported in XML.
Prioritization results can be visualized in the Gene network applet (see Gene network page).