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Map Drosophila gene IDs to their Human and Mouse homologs

Hi, I have a list of Drosophila gene ids and need to map them to their Human or Mouse homologs is there an R package or unix tool to do this?

gene id mapping homologs

Did you read the R and Unix requirements?

Have you heard of wget, curl, awk and grep? All of them have R counterparts too.

I have gene IDs not drosophila identifiers, I would have to first convert Gene IDs to Drosophila IDs I don't know enough scripting to this conversion. I can follow any R package if I read the manual, therefore, I find it more helpful to find a an R package. If you are not able to help please don't respond.

What do you mean by "gene IDs"? What database do these IDs come from?

Always provide examples when referring to ID's of any kind. "Drosophila gene ID's" gives no useful information.

Yes, I didn't think I should spend very much time answering this guy. I already wasted 10min on this.

Which "guy" are you referring to? Please be clear and explicit with details, we do not have any shared context with you right now.

Hello DataFanatic!

We believe that this post does not fit this site.

To make sure nobody wastes time on your question, which does not provide the necessary information to answer we close this until you can be both respectful and a good user of this forum. You can let us know when you have edited the question, validated previous answers and can show some manners towards people trying to help you.

For this reason we have closed your question.

If you disagree please tell us why in a reply below, we'll be happy to talk about it.

Cheers!

While I agree with you, I also think the reason why this question is so frustrating for RamRS is that he is unfamiliar with these datasets. as an example take a look at this post which clearly indicates he is answering questions outside of his area of expertise. How to control for factors like sex in an LFT in DESeq2

You are correct - I am unfamiliar with Drosophila datasets. One of my skills is that I can wrap my head around new datasets really quick. I have not answered any of these posts - neither this one nor the one you pointed to. My aim is to gain clarifications so either you realize what you're missing, or someone with domain expertise can get all the information they need at a glance.

Both genomax and WouterDeCoster have pointed out that your statements are vague, which is what we arrived at too. I appreciate your criticism - it's just that I have a valid point about the content clarity in your question.

So you should let people who are familiar with these datasets and the issues one encounters while working with them, answer the questions. I am not a bioinformatician but I have always been able to find help here at biostars. The answer you posted on "How to control for factors like sex in an LFT in DESeq2" clearly shows that you are giving wrong advice! Just don't answer.

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