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Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc
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Started by laura, 05-09-2011, 04:42 AM
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35 responses
107,289 views
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by laura
12-05-2013, 02:37 AM
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Started by sci_guy, 01-23-2008, 11:19 PM
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236 responses
682,540 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by liux, 09-15-2014, 06:04 PM
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4 responses
4,783 views
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Started by kurban910, 09-16-2014, 03:39 AM
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0 responses
1,222 views
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by kurban910
09-16-2014, 03:39 AM
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Started by bioman1, 08-07-2014, 05:58 PM
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18 responses
8,922 views
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by WhatsOEver
09-15-2014, 11:44 PM
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Started by Morgane_AUS, 09-15-2014, 08:12 PM
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0 responses
1,237 views
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by Morgane_AUS
09-15-2014, 08:12 PM
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Started by ramma, 06-25-2012, 11:28 AM
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15 responses
17,823 views
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by Gonza
09-15-2014, 03:49 PM
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Started by cement_head, 09-11-2014, 12:48 PM
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3 responses
3,109 views
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by cement_head
09-15-2014, 11:41 AM
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Started by Bcereus, 09-15-2014, 11:33 AM
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0 responses
1,325 views
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by Bcereus
09-15-2014, 11:33 AM
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Started by Jeromek, 09-15-2014, 09:04 AM
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0 responses
1,700 views
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by Jeromek
09-15-2014, 09:04 AM
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Started by nasobema, 09-15-2014, 01:48 AM
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3 responses
2,909 views
0 reactions
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Last Post
by dpryan
09-15-2014, 02:37 AM
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Started by john789, 09-15-2014, 02:29 AM
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0 responses
1,460 views
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by john789
09-15-2014, 02:29 AM
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by SEQadmin2
Childhood cancers, effectively fatal 60 years ago, are now curable for up to 85% of children with access to contemporary treatments and...-
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05-08-2026, 01:42 AM -
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by GATTACATLove 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.
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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...-
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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.
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06-02-2026, 10:05 AM -
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Started by SEQadmin2, Today, 11:08 AM
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4 views
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by SEQadmin2
Today, 11:08 AM
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Started by SEQadmin2, 06-30-2026, 05:37 AM
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by SEQadmin2
06-30-2026, 05:37 AM
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Started by SEQadmin2, 06-26-2026, 11:10 AM
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by SEQadmin2
06-26-2026, 11:10 AM
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