Hello, Andy. Unfortunately, there is no way to use the Table Browser to identify the RefSeq IDs that were not matched. You will need to directly compare your original ID list with the list of IDs from the Table Browser output. One way to do this if you are using a UNIX environment would be to perform the following steps:
1. Create a file with all of your RefSeq IDs (file 1). 2. Save the RefSeq IDs from the Table Browser output to a second file (file 2). 3. You will need to make sure both files are sorted on the same key. You can use the sort command in UNIX to accomplish this. 4. In your UNIX environment, run the following command: join -v 1 [filename1] [filename2] > [filename3] 5. This will save your unmatched RefSeq IDs to file 3. If you are not using a UNIX environment, you may want to check out the comparison tool at http://jura.wi.mit.edu/bioc/tools/compare.php. Please contact us again at [email protected] if you have any further questions about the Browser. --- Steve Heitner UCSC Genome Bioinformatics Group -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of Andy Rampersaud Sent: Wednesday, February 08, 2012 10:46 AM To: [email protected] Subject: [Genome] Table Browser Is there any way to connect the query list of gene accession numbers to the output list of gene accession numbers after running a query on the table browser? For example, I have the following parameters: Clade: Mammal, Genome: Mouse, Assembly: mm9, Group: All Tables, Database: mm9, Table: refGene. I load my list of query accession numbers, the browser notifies me that some number of the identifiers have no match. When viewing the output, however; I have no way of telling which of my query accession numbers matched and which did not. Is there a way to determine which of my query accession numbers matched and which did not? Thanks. _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
