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Re: Welcome to the Uncovering Genome Mysteries project

Thanks, we are excited to be part of the WCG.
[Oct 18, 2014 4:19:39 AM]   Link   Report threatening or abusive post: please login first  Go to top 
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Re: Welcome to the Uncovering Genome Mysteries project

Hello,

The database will be freely available, yes.
The project compares predicted protein sequences, mostly from environmental metagenomic samples, contributing to annotation, and studies on metabolic pathways from micro-organisms.
Comparing non-coding sequences (DNA) can be done within a restricted dataset, but has other purposes. The totality of known DNA sequences is now far too large for such overall comparisons.
[Oct 29, 2014 9:35:58 PM]   Link   Report threatening or abusive post: please login first  Go to top 
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Re: Welcome to the Uncovering Genome Mysteries project

Hello Crystal,

Simap has indeed the purpose of mapping protein similarities essentially from the public reference protein sequences and especially domains, resulting in a specific database/repository with very valuable research tools. Back in 2006/2007, the Genomecomparison project focussed on protein datasets from whole genomes, and the use of the rigorous ssearch algoritm for enhanced statistical confidence for inter-genome distance calculations and other applications, while Simap ran a much faster (directional hit detection) Blast implementation, in later years redoing the calculations similar to Genome Comparison.
In the Uncovering Genome Mysteries project, we are concentrating much more on metagenomic sequences from environmental samples, containing mostly as yet unknown organisms. The project involves a very large dataset and aims at the discovery of new enzymatic functions, unusual metabolic pathways, and also pretends to shed more light on the ecological relationships and interactions between micro-organisms in specific niches.
[Oct 29, 2014 9:56:04 PM]   Link   Report threatening or abusive post: please login first  Go to top 
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Re: Welcome to the Uncovering Genome Mysteries project

Hi gb,

We´ll do our best to follow discussions and interact with the WCGrid contributors!
[Oct 29, 2014 10:01:38 PM]   Link   Report threatening or abusive post: please login first  Go to top 
Crystal Pellet
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Re: Welcome to the Uncovering Genome Mysteries project

Thanks Wim for your insight answer.

Since Sept/Oct 2009 SIMAP (we volunteers wink) also calculated millions and milions of sequences from environmental genomes. You surely know or even met Prof. Thomas Rattei (now from Vienna University) and are aware of the treasures you may find in the SIMAP-database.

"Heel veel succes met jullie UGM ontdekkingsreis".

CP
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Antonius_Block
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Re: Welcome to the Uncovering Genome Mysteries project

I hope you won't be looking for a "cure" for autism. We get enough of that insulting condescension from the anti-vaxxers and dumbass neurotypicals who call it a disease.
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Re: Welcome to the Uncovering Genome Mysteries project

i'm pretty sure, there is no special intent to find a cure for autism, as there is nothing mentioned in this direction.
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Re: Welcome to the Uncovering Genome Mysteries project

I hope you won't be looking for a "cure" for autism. We get enough of that insulting condescension from the anti-vaxxers and dumbass neurotypicals who call it a disease.


Until now, you are the only one insulting.
[Nov 3, 2014 7:06:15 AM]   Link   Report threatening or abusive post: please login first  Go to top 
numbermaniac
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Re: Welcome to the Uncovering Genome Mysteries project

How many proteins are compared in each workunit? It seems to me about 18,000 but I'm just curious.
[Dec 9, 2014 8:41:51 AM]   Link   Report threatening or abusive post: please login first  Go to top 
seippel
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Re: Welcome to the Uncovering Genome Mysteries project

The answer is that the number of proteins in each work unit can vary widely. Each work unit consists of two file of proteins which are compared to each other (every protein in file A is compared to every protein in file B). Shorter proteins take less time to compare than longer proteins. The work unit generation program does some estimating to determine how proteins should be in each file to achieve the targetted runtime. So if the proteins being compared are short, it will compensate by adding more proteins to the file (and vice versa). From a quick sampling, the biggest number of proteins I saw in one of the two work unit files was 116k proteins, but this was just a sampling.

Seippel
[Dec 9, 2014 9:23:28 PM]   Link   Report threatening or abusive post: please login first  Go to top 
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