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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by bmc, 10-31-2013, 12:40 PM
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by bmc
10-31-2013, 12:40 PM
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Started by rooty, 05-06-2011, 06:43 AM
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12 responses
20,323 views
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by Olaf Blue
10-29-2013, 06:02 AM
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Started by chipmonk, 02-16-2012, 04:54 AM
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9 responses
7,026 views
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by chipmonk
10-28-2013, 09:18 PM
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Started by Genohub, 10-23-2013, 03:43 PM
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2,707 views
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by Genohub
10-23-2013, 03:43 PM
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Started by schizosaccharomyces, 03-02-2012, 03:07 PM
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5 responses
4,544 views
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by pmiguel
10-17-2013, 08:37 AM
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Started by millers, 07-25-2013, 01:26 PM
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8 responses
11,502 views
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by scooter
10-17-2013, 05:46 AM
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Started by jbrowne73, 01-11-2012, 09:43 AM
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11 responses
10,142 views
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by NuGEN
10-16-2013, 12:20 PM
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Started by achon, 10-14-2013, 05:59 PM
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3,357 views
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by achon
10-14-2013, 05:59 PM
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Started by christin123, 10-14-2013, 01:12 AM
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1,971 views
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by christin123
10-14-2013, 01:12 AM
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Started by LutzW, 10-11-2013, 01:21 AM
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1,877 views
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by LutzW
10-11-2013, 01:21 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.
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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, 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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07-08-2026, 10:08 AM
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