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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
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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
683,266 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by paa6, 03-25-2014, 05:25 PM
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15 responses
5,633 views
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Started by kmkocot, 03-24-2014, 02:18 AM
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5 responses
14,866 views
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by Wallysb01
03-27-2014, 07:24 AM
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Started by RocheKermit, 03-27-2014, 01:32 AM
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4 responses
7,335 views
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by RocheKermit
03-27-2014, 06:35 AM
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Started by Hel, 03-27-2014, 05:47 AM
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1 response
1,120 views
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by GenoMax
03-27-2014, 06:18 AM
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Started by Zapp, 03-26-2014, 07:03 AM
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3 responses
1,554 views
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by flxlex
03-27-2014, 05:18 AM
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Started by clemen, 11-09-2011, 04:42 PM
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22 responses
5,952 views
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by am@i
03-27-2014, 04:59 AM
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Started by thh32, 03-27-2014, 02:01 AM
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1 response
1,489 views
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by thh32
03-27-2014, 02:07 AM
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Started by ngs_per, 01-17-2014, 02:13 AM
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15 responses
6,595 views
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by Apexy
03-26-2014, 10:04 PM
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Started by SeekAnswers, 06-13-2012, 09:18 AM
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2 responses
2,237 views
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by Jeremy
03-26-2014, 07:13 PM
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Started by thejustpark, 03-26-2014, 02:11 PM
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1 response
3,088 views
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by lindenb
03-26-2014, 02:34 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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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, 10:04 AM
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by SEQadmin2
Yesterday, 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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Started by SEQadmin2, 07-07-2026, 11:05 AM
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by SEQadmin2
07-07-2026, 11:05 AM
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