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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
107,345 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
683,134 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Webinar: Multi-omics: Challenges, opportunities and application to biomarker discover
by Persistent LABS
Started by Persistent LABS, 06-27-2017, 02:37 AM
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0 responses
31 views
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Started by RodrigoZG, 06-24-2017, 10:35 AM
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5 responses
3,037 views
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by neavemj
06-26-2017, 04:23 PM
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Started by lagrace, 06-23-2017, 05:19 PM
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2 responses
1,949 views
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by lagrace
06-26-2017, 03:44 AM
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Started by dekontrol, 06-22-2017, 10:41 PM
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0 responses
4,918 views
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by dekontrol
06-22-2017, 10:41 PM
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Started by id0, 03-24-2014, 01:17 PM
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3 responses
4,362 views
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by yoyoq
06-22-2017, 02:13 PM
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Started by MGCBrown, 06-21-2017, 09:58 AM
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2 responses
2,177 views
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by MGCBrown
06-22-2017, 10:38 AM
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Started by gshieh2, 06-21-2017, 04:51 PM
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0 responses
1,070 views
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by gshieh2
06-21-2017, 04:51 PM
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Started by SeqTroubles, 06-21-2017, 05:27 AM
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5 responses
1,760 views
0 reactions
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by GenoMax
06-21-2017, 08:40 AM
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Started by mevs, 06-21-2017, 08:09 AM
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1 response
3,802 views
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Last Post
by GenoMax
06-21-2017, 08:22 AM
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Started by Flo2000, 06-21-2017, 05:05 AM
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0 responses
1,085 views
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by Flo2000
06-21-2017, 05:05 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, Yesterday, 10:08 AM
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by SEQadmin2
Yesterday, 10:08 AM
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Started by SEQadmin2, 07-07-2026, 11:05 AM
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by SEQadmin2
07-07-2026, 11:05 AM
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Started by SEQadmin2, 07-02-2026, 11:08 AM
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by SEQadmin2
07-02-2026, 11:08 AM
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