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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
107,364 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
683,265 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by cjose, 07-19-2011, 06:31 PM
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4 responses
2,196 views
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by cjose
07-22-2011, 10:18 AM
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Started by shuang, 07-21-2011, 06:18 AM
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7 responses
2,341 views
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by shuang
07-22-2011, 07:12 AM
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Started by nans_bn, 07-20-2011, 04:52 AM
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2 responses
2,637 views
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by nans_bn
07-22-2011, 03:45 AM
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Started by cristae8, 07-19-2011, 02:22 PM
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5 responses
3,878 views
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Started by kumar, 07-20-2011, 10:46 AM
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8 responses
2,885 views
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by kumar
07-21-2011, 03:56 PM
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Started by Kasycas, 07-15-2011, 01:48 AM
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3 responses
2,261 views
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by Kasycas
07-21-2011, 01:26 PM
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Started by chrisbala, 07-21-2011, 06:52 AM
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2 responses
3,034 views
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by chrisbala
07-21-2011, 01:24 PM
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Started by Hkins552, 07-21-2011, 10:15 AM
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7 responses
4,255 views
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Started by Wallysb01, 07-20-2011, 02:25 PM
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1 response
2,357 views
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by maubp
07-21-2011, 10:04 AM
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Started by shuang, 07-20-2011, 11:34 AM
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1 response
3,243 views
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Last Post
by Jim Robinson
07-21-2011, 08:37 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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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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10 views
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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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