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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
107,335 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
683,091 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by reliscu, 05-08-2021, 10:59 AM
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3 responses
5,219 views
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by floem7
05-08-2021, 01:59 PM
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Started by wakkeball97, 05-03-2021, 02:04 AM
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1 response
2,276 views
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by floem7
05-07-2021, 02:42 PM
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Started by Jandropu, 07-11-2018, 12:34 AM
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4 responses
7,100 views
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by vz33
05-07-2021, 02:00 AM
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Started by Brian Bushnell, 08-27-2014, 10:37 AM
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44 responses
49,733 views
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by Poshi
05-06-2021, 01:05 AM
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Started by akitrav1, 01-22-2019, 03:10 PM
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11 responses
10,909 views
0 reactions
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by fantasticAI
05-02-2021, 02:09 PM
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Started by timmibowtie, 04-28-2021, 09:58 PM
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0 responses
1,795 views
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by timmibowtie
04-28-2021, 09:58 PM
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Started by MattS2010, 04-27-2021, 02:26 AM
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0 responses
1,625 views
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by MattS2010
04-27-2021, 02:26 AM
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Started by wanadou, 04-25-2021, 11:10 PM
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1 response
1,726 views
0 reactions
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by luc
04-26-2021, 09:48 PM
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Started by jmartin, 04-26-2021, 01:40 PM
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0 responses
1,602 views
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by jmartin
04-26-2021, 01:40 PM
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Started by Kaskere, 04-25-2021, 09:05 PM
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0 responses
1,514 views
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by Kaskere
04-25-2021, 09:05 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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Started by SEQadmin2, Today, 10:08 AM
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Today, 10:08 AM
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Started by SEQadmin2, 07-02-2026, 11:08 AM
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07-02-2026, 11:08 AM
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