How to detect genomic clusters?
1
0
Entering edit mode
7.5 years ago
nancydong20 ▴ 130

Hello everyone!

I see a lot of genomics papers include schematics that show some genes of interest being physically clustered in a particular region of the genome. I would like to do similar analyses for my genome of interest. However, their methods don't provide details on how they did this. A search online for "genomic cluster" analysis didn't turn up anything either.

Does anyone know how these results came about?

Thank you very much!

Genomics Clusters • 1.3k views
ADD COMMENT
0
Entering edit mode

Not sure what system you work with but in case of prokaryotes there is DOOR database. There is also a publication (cited on the site) that you can take a look at.

ADD REPLY
0
Entering edit mode
7.5 years ago
Joe 21k

You mean schematics of operons? Depending on what exactly you want, I'd suggest SnapGene (if you want to do it 'by hand' with a great deal of customisation and ease), or EasyFig (usually used for alignments though), There's always the option of just making a screenshot of Artemis, JBrowse, IGV and any other genome viewer, if you have a genbank file. You'll need to give us a bit more to go on or an example figure you're trying to emulate before we can give you an exact answer.

And last (and definitely least), a lot of people I know, mainly less tech savvy PIs, will just draw it with boxes and arrows in powerpoint! (I absolutely do not endorse this :P )

ADD COMMENT
1
Entering edit mode

I think OP is asking about actual discovery of genomic clusters not how to illustrate them.

ADD REPLY
0
Entering edit mode

Yes, I would like some suggestions on how to discover them given a new draft genome. I have some preliminary ideas from InterProScan results that there might be interesting physical clusters, but would like a more systematic way of analyzing them.

I am working with eukaryotes, unfortunately. :(

ADD REPLY

Login before adding your answer.

Traffic: 1795 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6