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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by flashnglow, 07-21-2011, 01:45 AM
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1 response
2,946 views
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by pmiguel
07-21-2011, 05:42 AM
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Started by JHU-ChIPmaniac, 07-29-2010, 09:26 AM
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1 response
2,137 views
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by Rushirajm
07-21-2011, 04:44 AM
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Started by willgordon, 07-14-2011, 02:38 PM
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4 responses
4,691 views
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by pmiguel
07-20-2011, 11:31 AM
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Started by avilella, 07-20-2011, 02:31 AM
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0 responses
2,681 views
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by avilella
07-20-2011, 02:31 AM
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Started by niceday, 09-03-2010, 05:08 AM
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5 responses
12,763 views
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by Kitty
07-19-2011, 09:55 PM
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Started by John.Sawyer, 10-23-2010, 09:32 PM
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3 responses
14,652 views
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by Kitty
07-19-2011, 09:54 PM
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Started by eab, 07-12-2011, 11:10 AM
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2 responses
2,737 views
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by niceday
07-12-2011, 11:57 PM
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Started by bbeitzel, 07-11-2011, 07:03 AM
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0 responses
2,792 views
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by bbeitzel
07-11-2011, 07:03 AM
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Started by SWP, 07-08-2011, 09:31 AM
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2 responses
2,590 views
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by SWP
07-08-2011, 03:01 PM
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Started by pfranchini, 07-08-2011, 05:48 AM
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3 responses
1,737 views
0 reactions
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Last Post
by chadn737
07-08-2011, 03:01 PM
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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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