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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
107,485 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
683,766 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by pdblood, 05-03-2017, 06:55 AM
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1 response
2,161 views
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by Melissa
05-09-2017, 05:05 AM
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Started by frymor, 03-19-2013, 12:57 AM
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44 responses
13,488 views
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by ccc081419
05-08-2017, 06:56 PM
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Started by hr3y, 05-08-2017, 11:12 AM
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1 response
1,550 views
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by mozack
05-08-2017, 02:18 PM
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Started by ManoloS7, 04-20-2017, 06:27 AM
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23 responses
38,586 views
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by evakoe
05-08-2017, 06:43 AM
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Started by Slacanch, 05-08-2017, 12:27 AM
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0 responses
4,563 views
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by Slacanch
05-08-2017, 12:27 AM
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Started by MP_NGS, 05-05-2017, 12:32 AM
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2 responses
6,184 views
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by MP_NGS
05-07-2017, 12:56 AM
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Started by rnaeye, 05-06-2017, 07:01 AM
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2 responses
2,465 views
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by rnaeye
05-06-2017, 03:58 PM
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Started by tyurkevich, 05-05-2017, 06:46 PM
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Started by dopadelic, 05-05-2017, 08:37 AM
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1 response
1,317 views
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Started by gcR, 05-05-2017, 10:08 AM
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1 response
2,477 views
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by GenoMax
05-05-2017, 11:48 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, 07-13-2026, 10:26 AM
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22 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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20 views
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by SEQadmin2
07-08-2026, 10:08 AM
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