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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by Elugop, 11-22-2017, 09:38 AM
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4 responses
3,621 views
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by HarbsSM
11-27-2017, 09:02 AM
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Started by shawpa, 04-03-2012, 03:38 AM
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8 responses
12,528 views
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Started by Immunity, 11-15-2017, 03:26 PM
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1 response
1,439 views
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by Immunity
11-17-2017, 03:33 PM
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Started by JP_seq, 11-16-2017, 07:34 AM
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0 responses
2,276 views
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by JP_seq
11-16-2017, 07:34 AM
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Started by lmj, 11-15-2017, 08:33 PM
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0 responses
1,277 views
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by lmj
11-15-2017, 08:33 PM
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Started by renuka22, 11-15-2017, 01:34 PM
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Started by kbojones, 11-06-2017, 12:51 PM
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9 responses
3,381 views
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by kbojones
11-10-2017, 09:28 AM
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Started by hewenjuan, 11-02-2017, 04:16 PM
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2 responses
3,293 views
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by thermophile
11-03-2017, 08:24 AM
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Started by jmp92, 11-02-2017, 01:38 PM
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2 responses
4,824 views
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by luc
11-03-2017, 12:36 AM
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Started by korostin, 11-02-2017, 09:41 AM
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0 responses
1,478 views
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Last Post
by korostin
11-02-2017, 09:41 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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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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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, Today, 10:26 AM
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by SEQadmin2
Today, 10:26 AM
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Started by SEQadmin2, 07-09-2026, 10:04 AM
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by SEQadmin2
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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