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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by vanillasky, 03-22-2014, 10:37 PM
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2 responses
4,508 views
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by vanillasky
06-19-2014, 10:17 PM
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Started by Todd McLay, 06-19-2014, 07:23 PM
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0 responses
3,527 views
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by Todd McLay
06-19-2014, 07:23 PM
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Started by blair.chr, 03-02-2013, 07:09 AM
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10 responses
10,970 views
0 reactions
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by rosatoc
06-19-2014, 02:01 PM
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Started by MLog, 03-07-2014, 02:47 PM
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5 responses
5,979 views
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by MLog
06-11-2014, 02:37 PM
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Started by kzarn, 06-09-2014, 02:39 PM
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2 responses
3,497 views
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by kzarn
06-11-2014, 09:04 AM
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Started by Acacianpunk, 06-09-2014, 05:06 PM
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3 responses
4,003 views
0 reactions
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Started by DrMarineMicro, 01-06-2013, 11:31 AM
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10 responses
8,785 views
0 reactions
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Started by luc, 06-10-2014, 09:49 AM
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0 responses
2,584 views
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by luc
06-10-2014, 09:49 AM
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Started by mollusc, 10-03-2009, 05:20 PM
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6 responses
3,968 views
0 reactions
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Last Post
by Susanne
06-09-2014, 11:38 PM
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Started by dtm2451, 03-21-2014, 09:23 AM
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15 responses
13,087 views
0 reactions
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Last Post
by pmiguel
06-09-2014, 06:47 AM
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by SEQadmin2
Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...-
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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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07-01-2026, 11:43 AM -
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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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