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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
107,469 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
683,661 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by sircamp, 01-13-2016, 10:59 PM
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1 response
3,692 views
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by GenoMax
01-14-2016, 04:20 AM
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Started by super0925, 01-12-2016, 03:05 AM
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7 responses
4,034 views
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by super0925
01-13-2016, 06:04 AM
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Started by jordi, 01-13-2016, 04:20 AM
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5 responses
1,695 views
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by jordi
01-13-2016, 05:38 AM
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Started by gda, 01-12-2016, 06:29 PM
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0 responses
1,504 views
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by gda
01-12-2016, 06:29 PM
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Started by Jayakumar S, 01-12-2016, 05:13 PM
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0 responses
1,340 views
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by Jayakumar S
01-12-2016, 05:13 PM
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Started by peromhc, 01-08-2016, 06:08 AM
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2 responses
2,300 views
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by peromhc
01-12-2016, 04:49 PM
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Started by analog900, 12-23-2015, 12:52 AM
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8 responses
5,990 views
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by alexdobin
01-12-2016, 12:02 PM
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Started by jurat, 01-11-2016, 10:16 AM
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0 responses
1,540 views
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by Incedo
01-12-2016, 02:12 AM
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Started by Medhat, 01-12-2016, 01:19 AM
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0 responses
2,265 views
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by Medhat
01-12-2016, 01:19 AM
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Started by Niranjanks, 01-11-2016, 09:42 PM
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1 response
1,390 views
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Last Post
by SylvainL
01-12-2016, 12:57 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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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, Yesterday, 10:26 AM
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by SEQadmin2
Yesterday, 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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