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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
107,338 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
683,105 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by AdrianP, 03-03-2013, 06:50 AM
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0 responses
1,306 views
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by AdrianP
03-03-2013, 06:50 AM
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Started by gene_x, 03-01-2013, 11:05 AM
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5 responses
3,204 views
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by simonandrews
03-03-2013, 12:32 AM
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Started by Kotoro, 03-01-2013, 02:34 PM
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2 responses
3,099 views
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by Kotoro
03-02-2013, 05:22 PM
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Started by aquleaf, 03-01-2013, 03:10 PM
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5 responses
2,678 views
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by aquleaf
03-02-2013, 04:13 PM
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Started by felipe.vaca, 03-02-2013, 10:38 AM
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0 responses
1,593 views
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by felipe.vaca
03-02-2013, 10:38 AM
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Started by sunbert, 02-28-2013, 12:49 AM
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4 responses
1,834 views
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by sunbert
03-01-2013, 10:10 PM
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Started by Alphred, 02-28-2013, 01:17 PM
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7 responses
2,069 views
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by swbarnes2
03-01-2013, 04:26 PM
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Started by gene_x, 02-28-2013, 02:05 PM
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4 responses
2,477 views
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by gene_x
03-01-2013, 12:31 PM
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Started by polijana, 02-20-2013, 02:58 AM
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1 response
1,858 views
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by Mark
03-01-2013, 09:23 AM
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Started by Bioinformaticsnewb, 03-01-2013, 08:02 AM
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0 responses
1,498 views
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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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