How to query nr database using a list of GI numbers to get xml files?

Question: How to query nr database using a list of GI numbers to get xml files?

5.1 years ago by

grayapply2009 • 240

United States

grayapply2009 • 240 wrote:

I have a list of GI or Accession numbers. Now I want to query the nr database to get xml files for annotation purpose. How do I do this?

annotation blast xml gi latest • 1.6k views

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modified 5.1 years ago by apt.university • 70 • written 5.1 years ago by grayapply2009 • 240

seach this site for : NCBI efetch

ADD REPLY • link written 5.1 years ago by Pierre Lindenbaum ♦ 134k

5.1 years ago by

apt.university • 70

United States

apt.university • 70 wrote:

The nr database is a collection of protein sequences. Are you interested in extracting the protein sequences associated you list of GIs? If so, you can use Batch Entrez (http://www.ncbi.nlm.nih.gov/sites/batchentrez). From the drop down list select protein. Upload your list and click retrieve.

ADD COMMENT • link modified 14 months ago by Ram ♦ 32k • written 5.1 years ago by apt.university • 70

I'm trying to use blast2go to annotate my sequences. Blast2go accepts xml files from the local nr blast. I'm just wondering if it is possible to get xml files with just GI numbers.

ADD REPLY • link written 5.1 years ago by grayapply2009 • 240

Hi @grayapply2009

I am still not very clear as to what you want to do. Did you run blast locally? What are the GI or accession numbers you refer to in the first post?

If you are running blast on the command line, you can generate the output as XML using the -outfmt 5 parameter. You can then feed that output to blast2GO.

Also, nr is not a good source of GO annotations. Perhaps start with a well annotated DB, such as SwissProt or Trembl.

ADD REPLY • link modified 14 months ago by Ram ♦ 32k • written 5.1 years ago by apt.university • 70

Thanks, my friend. I'll try that.

ADD REPLY • link written 5.1 years ago by grayapply2009 • 240

5.1 years ago by

apt.university • 70

United States

apt.university • 70 wrote:

If you are annotating trancriptomics data, see the very helpful Trinotate documentation https://trinotate.github.io/

ADD COMMENT • link modified 14 months ago by Ram ♦ 32k • written 5.1 years ago by apt.university • 70

That's a good one, thanks.

ADD REPLY • link written 5.1 years ago by grayapply2009 • 240

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