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Mammalian Protein Subcellular Localization Database

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Downloads


LOCATE datasets:
Description Size File Date

All Mus musculus LOCATE entries, XML-formatted 95 MB LOCATE ALL MOUSE PROTEINS 2008-11-21

All Homo sapiens LOCATE entries, XML-formatted 107 MB LOCATE ALL HUMAN PROTEINS 2008-11-21

LOCATE XML schema 0.10 MB LOCATE_v6.xsd 2008-11-21



Organelle Image Collection - HeLa
Description Size File Date

Endogenous and Transfected subcellular localization data sets 101 MB SubCellLoc.zip
2006-11-23



MemO Pipeline Scripts:
Description Size File Date

Archive of scripts for the implementation of transmembrane domain and signal peptide consensus prediction methods 14 KB MemO_Paper_consensus_method_files.zip
2006-07-17



Data sets annotated with MemO:
Description Size File Date

MemO predictions for the Affymetrix HG U133A v.2 chip 4.4 MB hgu133av2_MO_analysis.txt 2005-11-10

MemO predictions for the FANTOM3 Isoform Protein Sequence set 5.8 MB allIPS_supp_data.txt 2006-01-19

MemO predictions for IPI data sets: 2006-11-21
Arabidopsis thaliana 3.8 MB IPI_ARATH_MemO_annotation.out
Bos taurus 3.7 MB IPI_BOVIN_MemO_annotation.out
Brachydanio rerio 3.5 MB IPI_BRARE_MemO_annotation.out
Gallus gallus 2.3 MB IPI_CHICK_MemO_annotation.out
Homo sapiens 7.1 MB IPI_HUMAN_MemO_annotation.out
Mus musculus 6.6 MB IPI_MOUSE_MemO_annotation.out
Rattus norvegicus 3.4 MB IPI_RAT_MemO_annotation.out
Drosophila melanogaster release 4.3 proteome
downloaded from FLYBASE
1.2 MB dmel_MemO_annotation.out
Caenorhabditis elegens proteome (WormPep 164)
download from WORMBASE
1.5 MB cele_MemO_annotation.out
Saccharomyces cerevisiae proteome downloaded from
the MIPS Comprehensive Yeast Genome Database (CYGD)
0.39 MB yeast_MemO_annotation.out

Supplementary data for Sprenger et al.
Evaluation and comparison of mammalian subcellular localization prediction methods.
BMC Bioinformatics 2006,7(Suppl5):S3
LOC2145 LOC2145.fa
SP3763 SP3763.fa

Copyright 2004, 2005, 2006, 2007 Institute of Molecular Bioscience, The University of Queensland and the ARC Centre in Bioinformatics
We gratefully acknowledge the support of the Australian Research Council.