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Lj3g3v2282430.1

Overview

Field Value
Gene ID Lj3g3v2282430
Transcript ID Lj3g3v2282430.1
Lotus japonicus genome version MG20 v3.0
Description PREDICTED: 97 kDa heat shock protein-like [Glycine max] gi|356522017|ref|XP_003529646.1|
Working Lj name n.a.

Sequence information

Domain prediction

Data for domain prediction are obtained with InterProScan, and merged with InterPro data obtained from the EB-eye REST service.

Merging data from EBeye. Please wait…

Domains

Sorting

Prediction algorithm Identifier Start End Length E-value InterPro ID
SignalP 1 29 29
ProSiteProfiles 1 27 27 5
SUPERFAMILY 58 243 186 2.04E-49
CDD 59 438 380 0
Gene3D 59 94 36 4.50E-37
PANTHER 59 551 493 0
PANTHER 59 551 493 0
PRINTS 59 72 14 1.00E-14
Pfam 60 755 696 5.10E-159
PRINTS 87 99 13 1.00E-14
Gene3D 95 170 76 2.90E-21
Gene3D 171 255 85 4.50E-37
PRINTS 198 218 21 1.00E-14
SUPERFAMILY 253 438 186 2.96E-49
Gene3D 256 289 34 2.10E-20
Gene3D 290 370 81 1.30E-29
Gene3D 375 417 43 2.10E-20
PRINTS 390 406 17 1.00E-14
PRINTS 421 441 21 1.00E-14
SUPERFAMILY 442 555 114 1.83E-10
Gene3D 445 584 140 2.40E-39
MobiDBLite 560 637 78
Gene3D 632 652 21 2.40E-39
PANTHER 632 809 178 0
PANTHER 632 809 178 0
SUPERFAMILY 637 688 52 1.83E-10
SUPERFAMILY 658 754 97 9.02E-26
Gene3D 659 768 110 2.40E-32

Gene function (GO predictions)

GO predictions are based solely on the InterPro-to-GO mappings published by EMBL-EBI, which are in turn based on the mapping of predicted domains to the InterPro dataset. The InterPro-to-GO mapping was last updated on , while the GO metadata was last updated on .

Unable to find any GO terms for the transcript with the identifier.

Expression data

Expression pattern

Expression pattern of Lj3g3v2282430.1, powered by ExpAt. For advanced configuration, data transformation and export options, view expression data in the ExpAt application.

Loading expression data from ljgea-geneid. Please wait…

Co-expressed genes

A list of the top 25 highly co-expressed genes of Lj3g3v2282430.1, powered by CORGI.

Loading co-expressed genes from the dataset ljgea-geneid. This will take 20–30 seconds to construct.