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Published byFanny Wibowo Modified over 6 years ago
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ID Mapping tools: Converting Accessions between Databases
Genomic Annotation and Functional Modeling Workshop Maxwell H. Gluck Equine Research Center 15-16 November, 2011
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Converting database accessions
UniProt database Ensembl BioMart Online analysis tools DAVID, g:profiler, etc AgBase database ArrayIDer tool
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1. UniProt ID Mapping
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Paste accession list (>1000 may cause errors).
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Select the accession type you have:
and the accession type you want to convert to: Click an MAP
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The mapping link will display a tab separated file:
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2. Ensembl BioMart
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Clicking on these headings allows you to set up searches.
Selecting FILTERS gives you different filtering options:
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Expand GENE and check “ID list limit” to select a defined list of accessions.
Enter your list of accessions.
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Selecting ATTRIBUTES allows you to choose what information is reported:
Check accessions from external databases (UniProt & RefSeq).
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Clicking on RESULTS will show you the output information.
Output can be displayed online and/or downloaded (text, Excel). Selecting FILTERS or ATTRIBUTES will allow you to go back and make changes. Limited to species represented in Ensembl
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3. Online analysis tools This tool works for a wide range of species.
Database for Annotation, Visualization and Integrated Discovery (DAVID) This tool works for a wide range of species.
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Paste in your accession list
(You can also upload a file of accessions.)
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Select accession type. NOTE: If you choose “Not Sure” the tool will try to decide what type of accession you have.
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Select gene list. Submit list.
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Select the type of accession you want to convert TO.
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Any ambiguous IDs are listed for you to decide.
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4. AgBase: ArrayIDer Maps ESTs to gene/protein accessions.
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An email will be sent with a link to the results
An will be sent with a link to the results. Results are formatted as an Excel file.
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Combining ID Mapping If you have mixed accession types, you may have to do your ID mapping in sections and link together the results. Most mappings are not 100% - need to note how many from your original dataset are available for further analysis.
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