Do you use Proteome? If so, you'll be happy to hear that the
Bioresearch Metasearch
engine now features results from the Proteome databases as part
of its search universe. (example)
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AbMiner: antibody database | ||||
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AbCAM: antibody search engine | ||||
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RTPrimerDB: Primers for real-time PCR | ||||
| Genomes | |||||
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SGD: Saccharomyces Genome Database |
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CGD: Candida Genome Database |
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Flybase | ||||
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RGD: Rat genome database | ||||
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TAIR: Arabidopsis genome database | ||||
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TGD: Tetrahymena genome database |
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ZFIN: Danio rerio (Zebra fish) genome database | ||||
| Genes, proteins & sequence analysis | |||||
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BIND: protein interactions |
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EMBOSS: molbio tools | ||||
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DIP: protein interactions | ||||
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HomoloGene: protein homologs | ||||
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HOVERGEN: protein homologs | ||||
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GO ontologies |
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GPCRDB | ||||
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ImMunoGeneTics database | ||||
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iHOP gene properties | ||||
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NucleaRDB | ||||
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PANTHER protein classification & expression analysis | ||||
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PathwayBuilder illustrator |
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MS Visio diagramming tool |
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PubGene: Graphical Go/PubMed gene associations | ||||
| Expression & function | |||||
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BioProspector: DNA motif prediction |
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CompareProspector: DNA motif prediction |
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miRbase: miRNA data | ||||
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miRNAMap: miRNA data | ||||
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MitoRes: nuclear-encoded mitochondrial gene products | ||||
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PRIDE: protein and peptide identification data | ||||
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UTRdb: untranslated transcript sequences | ||||
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5'SAGE: transcript start sites | ||||
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SAM: Significance Analysis of Microarrays |
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| Literature & biodata mining | |||||
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Web of Science: ultimate literature searching |
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BIOSIS, for broader coverage of the biological literature than PubMed |
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BEST : DNA binding motif identification | ||||
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GoMiner gene expression analysis | ||||
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MEGA phylogenetic analysis | ||||
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MEME motif identification | ||||
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MAST database motif searching | ||||
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SOURCE |
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| Structures | |||||
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Chime Pro viewer | ||||
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RasMol viewer | ||||
Need to analyze microarray or proteomics data? If so, have look at the
Ingenuity Pathways Analysis
(IPA), a highly curated
database + analytical functions for understanding how proteins work together to effect cellular changes.
More
Already an IPA user? Then join the online
Stanford IPA user
group
and share in your colleagues' expertise.
Need to get up to speed with an unfamiliar concept in bioinformatics, genomics, genetics or proteomics? Try
EBGGBP
- you won't be disappointed!
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