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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by nclrsqr, 06-26-2017, 03:01 PM
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1 response
2,002 views
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by bman
02-21-2018, 12:00 PM
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Started by fuellen, 02-01-2018, 10:23 PM
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2 responses
1,724 views
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by GW_OK
02-09-2018, 07:43 AM
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Started by sbarberan, 01-26-2018, 11:16 AM
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3 responses
2,524 views
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by sbarberan
02-08-2018, 02:46 PM
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Started by alekzs, 01-05-2018, 09:11 AM
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5 responses
2,370 views
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by Simone78
02-08-2018, 10:32 AM
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Started by aurbano, 02-02-2018, 04:48 AM
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0 responses
1,364 views
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by aurbano
02-02-2018, 04:48 AM
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Started by Genetic Librarian, 10-06-2017, 03:38 AM
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7 responses
7,998 views
0 reactions
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Last Post
by lac302
02-01-2018, 11:56 AM
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Started by fuellen, 01-29-2018, 11:25 PM
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0 responses
39 views
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by fuellen
01-29-2018, 11:25 PM
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Started by bellaoleksy, 01-17-2018, 03:15 PM
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0 responses
1,395 views
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by bellaoleksy
01-17-2018, 03:15 PM
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Started by anish_dattani_zoo, 01-17-2018, 12:19 PM
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0 responses
4,159 views
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Started by mastermix, 01-11-2018, 02:20 AM
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2 responses
2,947 views
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Last Post
by mastermix
01-11-2018, 06:40 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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