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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
107,346 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
683,152 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by k-gun12, 12-14-2010, 11:56 AM
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0 responses
3,320 views
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by k-gun12
12-14-2010, 11:56 AM
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Started by gen2prot, 12-09-2010, 12:25 PM
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9 responses
7,700 views
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by gen2prot
12-14-2010, 11:07 AM
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Started by dicty, 12-14-2010, 06:32 AM
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2 responses
2,087 views
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by dicty
12-14-2010, 09:19 AM
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Started by xinwu, 12-13-2010, 10:57 PM
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1 response
1,915 views
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by rwenang
12-14-2010, 12:08 AM
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Started by zorph, 12-04-2010, 05:05 PM
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8 responses
3,559 views
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by KevinLam
12-13-2010, 05:50 PM
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Started by andy11, 12-12-2010, 03:18 PM
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6 responses
10,654 views
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by bioinfosm
12-13-2010, 03:06 PM
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Started by ornam, 12-07-2010, 03:58 PM
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2 responses
3,113 views
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by ornam
12-13-2010, 01:33 PM
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Started by adrian, 12-13-2010, 10:37 AM
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0 responses
2,265 views
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by adrian
12-13-2010, 10:37 AM
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Started by NicoBxl, 12-13-2010, 06:38 AM
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0 responses
1,901 views
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by NicoBxl
12-13-2010, 06:38 AM
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Started by NicoBxl, 12-13-2010, 12:21 AM
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2 responses
7,751 views
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Last Post
by NicoBxl
12-13-2010, 06:16 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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Started by SEQadmin2, 07-07-2026, 11:05 AM
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07-07-2026, 11:05 AM
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