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Started by nilshomer, 05-08-2010, 02:19 PM
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52 responses
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by archana87
04-23-2019, 01:18 PM
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Started by memari, 09-25-2013, 09:32 AM
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1 response
6,065 views
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by qsonica
11-14-2013, 07:07 AM
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Started by biochemista, 11-11-2013, 08:43 AM
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by biochemista
11-11-2013, 08:43 AM
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Started by mbk0asis, 11-08-2013, 05:12 AM
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5 responses
5,076 views
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by mbk0asis
11-10-2013, 07:03 PM
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Started by slp, 11-07-2013, 10:38 AM
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1 response
3,682 views
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by vivek_
11-07-2013, 10:41 AM
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Started by marycanady, 11-05-2013, 06:24 PM
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by marycanady
11-05-2013, 06:24 PM
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Started by frossit, 11-04-2013, 09:56 AM
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4 responses
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by dpryan
11-05-2013, 12:48 PM
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Started by Skittles, 11-03-2013, 09:06 AM
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by Skittles
11-03-2013, 09:06 AM
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Started by iancuo, 10-31-2013, 04:44 PM
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1 response
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by GenoMax
10-31-2013, 05:25 PM
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Started by mlacencio, 10-26-2013, 11:53 AM
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3 responses
4,045 views
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by benjamir
10-31-2013, 12:11 PM
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Started by AJERYC, 08-22-2012, 04:29 AM
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by etal
10-31-2013, 10:01 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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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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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, Yesterday, 10:04 AM
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Yesterday, 10:04 AM
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Started by SEQadmin2, 07-08-2026, 10:08 AM
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07-08-2026, 10:08 AM
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Started by SEQadmin2, 07-07-2026, 11:05 AM
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07-07-2026, 11:05 AM
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