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Discussion of next-gen sequencing related bioinformatics: resources, algorithms, open source efforts, etc
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Started by laura, 05-09-2011, 04:42 AM
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35 responses
107,537 views
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by laura
12-05-2013, 02:37 AM
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Started by sci_guy, 01-23-2008, 11:19 PM
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236 responses
683,897 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by biofreak, 08-11-2011, 09:02 AM
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0 responses
1,739 views
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by biofreak
08-11-2011, 09:02 AM
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Started by ians, 08-10-2011, 11:52 AM
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1 response
2,859 views
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by ians
08-11-2011, 06:51 AM
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Started by crh, 08-04-2011, 07:35 AM
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6 responses
2,455 views
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by steven
08-11-2011, 06:38 AM
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Started by shuang, 07-26-2011, 09:27 AM
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13 responses
5,058 views
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by gavin.oliver
08-11-2011, 06:19 AM
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Started by asling, 07-23-2011, 07:12 PM
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13 responses
4,432 views
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by pbluescript
08-11-2011, 05:53 AM
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Started by f.pop, 08-10-2011, 05:40 AM
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8 responses
9,599 views
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by gringer
08-11-2011, 05:35 AM
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Started by ulz_peter, 03-24-2011, 01:41 AM
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8 responses
3,835 views
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by Brugger
08-11-2011, 02:32 AM
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Started by ocs, 08-09-2011, 01:50 AM
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5 responses
2,369 views
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by eslondon
08-11-2011, 01:15 AM
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Started by Palgrave, 08-11-2011, 01:13 AM
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0 responses
4,617 views
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by Palgrave
08-11-2011, 01:13 AM
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Started by ozs2006, 08-10-2011, 12:30 AM
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2 responses
3,359 views
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by ozs2006
08-10-2011, 10:04 PM
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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...-
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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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27 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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37 views
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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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