Software Suggestions Needed To Efficiently Deal With Ngs Variants
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11.4 years ago

how do you deal with "final" NGS resequencing results? or in other words, how exactly do you solve the always uncomfortable "I've got thousands of variants, now what?" question?

one is sometimes surprised how almost all the bfx efforts are focused on generating results rather than interpreting them. in this NGS era, sure aligners and variant callers must be created and optimized, but if we don't have a fast and reliable way of dealing with their results these will be not as useful as we'd like. it makes sense for me that first you need these mappers and callers, but now that labs have already generated plenty of NGS data results interpretation becomes critical in order to give NGS techniques the proper credit they deserve.

there are not many ways one can deal with NGS variants. basically you try to annotate your variants as best as possible, so you can then perform a cascade of filters that would allow you to clean your relevant findings out from the NGS noise. but if you care a lot about what you are filtering and what you are looking for, even the most obvious filter of novel variants could be argued. filters are definitely helpful, but we shouldn't stop there if our aim is to discover all the answers, and not only a few of them.

a little less conversation, a little more action please.

we are currently using a SOLiD sequencer and its own software to map reads and to call variants, and we are enriching them using ANNOVAR (the most convenient annotation software we've found to date). then we are handling these annotated results to the biologists and clinicians for them to apply their knowledge (because we think that variant filtering should be expert guided), and eventually something is found and a paper is written ;)

we wouldn't like to stop here, as manual (or semi-automated) filtering could be error prone or simply not properly applied, so we would like to know how others are dealing with this situation, specially in terms of easing the variant selection process on expert non-bfx hands and also of generating graphical results for visual analysis and paper dressing. we know there are a few alternatives out there for variant interpretation (the only ones we've played a little bit with were Partek and the recently published SVA), so it would be great to get here some feedback here about the ones you've used, just tested or even discarded.

annotation filter variant software ngs • 3.2k views
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Hi Jorge, can you please rephrase this such that the core of the questions becomes more clear? And btw, why not perform GWAS?

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@Michael Dondrup: For studies of somatic variation (e.g. de novo mutations in tumors) or resequencing of rare variants associated with familial disorders a GWAS strategy is not going to work.

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@MichaelD: thanks for the suggestions; I'll rephrase the question so that it becomes more straight, although NGS users will surely understand its point. @DavidQ: you're right, we still perform GWAS studies at our lab for different purposes, but looking for rare variants in the way we currently need requires NGS data.

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11.4 years ago
Devonj ▴ 90

Hi Jorge,

We are working on something that you can hand to non-bfx experts: http://www.enlis.com/research_edition.html

It isn't quite ready to release yet -- (we are working on being able to import data from different sources like SOLiD) Let me know if you have any questions

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@JorgeAmigo Yep we do want to add more filters, to allow finer control. If anyone has recommendation of filters they would find especially useful, we would be happy to prioritize those.

@mdeng Glad you like it! Yes there is a mailing list signup in the bottom right corner of the homepage: http://www.enlis.com/

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thanks DevonJ. although the amount of filters available on the videos is not as extense as we are used to, I think this is the kind of data integration a clinician would expect. I'll have to follow it ;)

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@DevonJ This looks great. You've got a mailing list or something, to stay up to date?

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+1 very good work! and good screen casts.

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