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Lj2g3v0915010.1

Overview

Field Value
Gene ID Lj2g3v0915010
Transcript ID Lj2g3v0915010.1
Related isoforms 1
Lotus japonicus genome version MG20 v3.0
Description Heat shock protein [Medicago truncatula] gi|357503425|ref|XP_003622001.1|
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
PANTHER 12 620 609 0
PANTHER 12 620 609 0
Gene3D 13 64 52 1.80E-63
PRINTS 13 26 14 3.70E-69
SUPERFAMILY 13 198 186 5.18E-66
Pfam 14 611 598 9.50E-223
ProSitePatterns 17 24 8
PRINTS 43 55 13 3.70E-69
PRINTS 65 73 9 3.70E-69
Gene3D 65 124 60 8.10E-33
Gene3D 134 214 81 1.80E-63
PRINTS 153 173 21 3.70E-69
SUPERFAMILY 205 393 189 8.64E-64
ProSitePatterns 210 223 14
Gene3D 215 243 29 1.50E-37
PRINTS 216 226 11 3.70E-69
Gene3D 244 324 81 1.60E-34
Coils 273 293 21
Gene3D 329 372 44 1.50E-37
PRINTS 344 360 17 3.70E-69
PRINTS 376 396 21 3.70E-69
Gene3D 382 553 172 2.80E-65
SUPERFAMILY 398 554 157 3.92E-48
PRINTS 402 421 20 3.70E-69
PRINTS 482 498 17 3.70E-69
SUPERFAMILY 549 621 73 4.32E-05
Gene3D 554 612 59 1.10E-06

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.

LORE1 insertions 9

Expression data

Expression pattern

Expression pattern of Lj2g3v0915010.1, 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 Lj2g3v0915010.1, powered by CORGI.

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