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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
683,286 views
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by ECO
12-25-2009, 06:45 PM
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Started by apredeus, 03-23-2014, 01:35 PM
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16 responses
25,183 views
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by DonMauricio
05-24-2017, 01:32 PM
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Started by Seta, 04-12-2011, 11:18 PM
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4 responses
13,935 views
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by GenoMax
05-24-2017, 09:44 AM
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Started by imsharmanitin, 05-23-2017, 03:51 PM
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4,578 views
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Started by fznajar, 05-23-2017, 10:39 AM
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by fznajar
05-23-2017, 10:39 AM
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Started by stqa8350, 05-22-2017, 08:20 AM
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1,227 views
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by stqa8350
05-22-2017, 08:20 AM
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Started by pepsi_MAX_cherry, 05-22-2017, 07:45 AM
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3,018 views
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Started by thek71, 09-12-2014, 01:48 AM
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1 response
2,228 views
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by shum1
05-22-2017, 06:56 AM
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Started by Wilro, 05-20-2017, 03:08 AM
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4 responses
3,798 views
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Started by yu_chem, 05-19-2017, 05:09 AM
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6 responses
5,067 views
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by yu_chem
05-20-2017, 05:56 AM
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Started by wb1016, 05-19-2017, 04:36 AM
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10 responses
3,385 views
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by mastal
05-20-2017, 02:16 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.
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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