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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by neveaire, 04-04-2011, 02:20 PM
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4 responses
3,940 views
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by pmiguel
04-05-2011, 11:39 AM
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Started by sehrrot, 08-04-2010, 11:40 PM
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3 responses
4,928 views
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by ashchin
04-04-2011, 01:39 PM
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Started by cckandmd, 04-01-2011, 08:04 PM
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0 responses
1,657 views
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by cckandmd
04-01-2011, 08:04 PM
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Started by megalodon, 03-31-2011, 11:59 AM
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4 responses
4,396 views
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by megalodon
04-01-2011, 04:54 PM
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Started by TUCF JSS, 03-28-2011, 12:35 PM
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2 responses
4,141 views
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by HESmith
03-30-2011, 02:19 PM
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Started by Erika Feltrin, 03-30-2011, 07:39 AM
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0 responses
4,045 views
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Started by Celia, 02-25-2011, 07:24 AM
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5 responses
7,968 views
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by greigite
03-29-2011, 11:06 AM
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Started by jpelletier, 03-15-2011, 01:01 PM
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5 responses
2,213 views
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by TUCF JSS
03-28-2011, 10:08 AM
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Started by zeineen, 03-13-2011, 07:45 PM
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1 response
3,307 views
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by TUCF JSS
03-27-2011, 11:16 AM
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Started by kaikat, 03-24-2011, 10:00 AM
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5 responses
2,014 views
0 reactions
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Last Post
by GW_OK
03-24-2011, 10:40 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.
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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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Started by SEQadmin2, 07-13-2026, 10:26 AM
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24 views
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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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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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21 views
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by SEQadmin2
07-08-2026, 10:08 AM
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