STRING 9.05 
  GSVIVG00023068001 protein (Vitis vinifera) - STRING network view
 

This is the evidence view. Different line colors represent the types of evidence for the association.

 
   
Your Input:
GSVIVG00023068001
SubName- Full=Chromosome chr8 scaffold_29, whole genome shotgun sequence; (406 aa)
(Vitis vinifera)
Predicted Functional Partners:
GSVIVG00018552001
SubName- Full=Chromosome chr13 scaffold_17, whole genome shotgun sequence; (155 aa)
   0.993
GSVIVG00031743001
SubName- Full=Putative uncharacterized protein (Chromosome chr18 scaffold_59, whole genome shot [...] (389 aa)
  0.986
GSVIVG00010223001
SubName- Full=Chromosome undetermined scaffold_2025, whole genome shotgun sequence; Flags- Frag [...] (300 aa)
  0.973
GSVIVG00019030001
SubName- Full=Chromosome chr15 scaffold_19, whole genome shotgun sequence; (103 aa)
    0.958
GSVIVG00036802001
SubName- Full=Chromosome chr4 scaffold_83, whole genome shotgun sequence; (260 aa)
   0.951
GSVIVG00027466001
SubName- Full=Chromosome chr19 scaffold_4, whole genome shotgun sequence; (260 aa)
   0.950
GSVIVG00026101001
SubName- Full=Putative uncharacterized protein (Chromosome chr12 scaffold_36, whole genome shot [...] (260 aa)
   0.949
GSVIVG00025575001
SubName- Full=Chromosome chr8 scaffold_34, whole genome shotgun sequence; (307 aa)
    0.947
GSVIVG00037149001
SubName- Full=Chromosome chr16 scaffold_86, whole genome shotgun sequence; (193 aa)
   0.943
GSVIVG00034120001
SubName- Full=Chromosome chr9 scaffold_7, whole genome shotgun sequence; (193 aa)
   0.943
 
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Info & Parameters ...
Network Display - Nodes are either colored (if they are directly linked to the input - as in the table) or white (nodes of a higher iteration/depth). Edges, i.e. predicted functional links, consist of up to eight lines: one color for each type of evidence. Hover or click to reveal more information about the node/edge.

Active Prediction Methods:
Neighborhood Gene Fusion Co-occurrence
Co-expression Experiments Databases Textmining
 
required confidence (score): interactors shown:
or custom value: or custom limit:

additional (white) nodes

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