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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
683,078 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by shr19818, 09-22-2015, 02:19 PM
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0 responses
1,679 views
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by shr19818
09-22-2015, 02:19 PM
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Started by methylnick, 09-21-2015, 08:21 PM
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5 responses
4,250 views
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by methylnick
09-22-2015, 01:43 PM
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Started by Elsie, 09-16-2015, 03:18 PM
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5 responses
2,967 views
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by Smurali
09-22-2015, 10:41 AM
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Started by cmccabe, 09-21-2015, 10:14 AM
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8 responses
10,739 views
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by cmccabe
09-22-2015, 09:28 AM
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Started by HeidiLee, 09-22-2015, 07:05 AM
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1 response
2,211 views
0 reactions
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by lindenb
09-22-2015, 08:33 AM
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Started by nanto, 10-02-2012, 03:16 AM
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2 responses
3,037 views
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by maubp
09-22-2015, 08:21 AM
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Started by eleonora91, 09-22-2015, 05:27 AM
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0 responses
1,396 views
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by eleonora91
09-22-2015, 05:27 AM
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Started by RynT, 09-22-2015, 12:38 AM
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0 responses
1,077 views
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by RynT
09-22-2015, 12:38 AM
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Started by unknown_0912, 09-21-2015, 03:10 PM
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1 response
1,651 views
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by yueluo
09-21-2015, 05:12 PM
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Started by Palgrave, 09-21-2015, 01:43 PM
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1 response
1,927 views
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Last Post
by GenoMax
09-21-2015, 02:42 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, 07-02-2026, 11:08 AM
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07-02-2026, 11:08 AM
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