Go Slim

bioxyz

Junior Member

Join Date: Nov 2009

Posts: 7
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Go Slim

05-15-2011, 02:28 PM

Hello,
I have GoRetriver http://www.agbase.msstate.edu/cgi-bi...ever_select.pl and GOSlimViewer http://www.agbase.msstate.edu/cgi-bi...ewer_select.pl .

However the above tools do not provide any enrichment analysis.
- Protein list (Swissprot)
- enrichment analysis with foreground and background
- goslim

Are there online tools or stand alone tools which provide enrichment analysis?

Thank you in advance.
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Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing

by GATTACAT

Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
- Channel: Articles
Today, 11:43 AM
Nine Things a Sample Prep Scientist Thinks About Before Sequencing

by SEQadmin2

I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

Here are nine questions we think about, in roughly the order they matter, before...
- Channel: Articles
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From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data

by SEQadmin2

Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.

The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...
- Channel: Articles
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