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Started by DineshCyanam, 11-27-2011, 11:14 AM
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7 responses
20,835 views
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by ECO
12-21-2013, 10:07 AM
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Started by MDonlin, 11-01-2013, 07:55 AM
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0 responses
15,360 views
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by MDonlin
11-01-2013, 07:55 AM
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Started by mmmm, 07-18-2013, 04:48 AM
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4 responses
9,511 views
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by Heisman
07-18-2013, 07:28 AM
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Started by mmmm, 07-18-2013, 05:35 AM
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0 responses
9,581 views
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by mmmm
07-18-2013, 05:35 AM
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Started by Jean, 04-01-2013, 07:39 AM
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1 response
9,932 views
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by ECO
04-01-2013, 07:48 AM
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Started by xApple, 10-11-2012, 06:38 AM
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4 responses
11,575 views
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by xApple
10-12-2012, 04:08 AM
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Started by GenoMax, 08-13-2012, 04:03 AM
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11 responses
11,677 views
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by scbaker
09-27-2012, 11:28 AM
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Started by simonandrews, 04-19-2012, 02:33 AM
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28 responses
20,912 views
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by simonandrews
06-25-2012, 11:22 PM
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Started by dan, 10-05-2011, 12:55 PM
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430 responses
111,106 views
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Started by cjb, 11-21-2011, 10:30 AM
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2 responses
10,157 views
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by cjb
11-21-2011, 10:46 AM
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by SEQadmin2
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
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07-09-2026, 11:10 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...-
Channel: Articles
07-08-2026, 05:17 AM -
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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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Started by SEQadmin2, 07-13-2026, 10:26 AM
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by SEQadmin2
07-13-2026, 10:26 AM
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Started by SEQadmin2, 07-09-2026, 10:04 AM
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07-09-2026, 10:04 AM
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Started by SEQadmin2, 07-08-2026, 10:08 AM
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by SEQadmin2
07-08-2026, 10:08 AM
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