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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
683,069 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by mrfox, 09-18-2012, 11:36 AM
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2 responses
3,155 views
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by rpauly
07-10-2013, 12:07 PM
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Started by Debu_013, 07-10-2013, 11:16 AM
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3 responses
2,165 views
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by ndaniel
07-10-2013, 12:05 PM
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Started by alittleboy, 07-07-2013, 10:09 AM
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2 responses
3,514 views
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by alittleboy
07-10-2013, 10:29 AM
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Started by albireo, 07-09-2013, 06:11 AM
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2 responses
1,608 views
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by albireo
07-10-2013, 09:24 AM
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Started by Inma, 07-10-2013, 07:11 AM
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1 response
2,106 views
0 reactions
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by maubp
07-10-2013, 08:07 AM
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Started by tejajo, 07-08-2013, 02:04 AM
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2 responses
2,578 views
0 reactions
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by maubp
07-10-2013, 07:48 AM
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Started by Shaq, 07-10-2013, 05:16 AM
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2 responses
4,077 views
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by Shaq
07-10-2013, 06:40 AM
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Started by IHU, 07-10-2013, 05:55 AM
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0 responses
1,876 views
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by IHU
07-10-2013, 05:55 AM
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Started by tdoniger, 02-14-2013, 01:48 AM
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6 responses
5,187 views
0 reactions
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by tdoniger
07-10-2013, 05:19 AM
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Started by hiren, 07-10-2013, 04:53 AM
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0 responses
2,306 views
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Last Post
by hiren
07-10-2013, 04:53 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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