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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
107,533 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
683,878 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by Tally, 07-05-2015, 10:57 PM
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2,404 views
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by Tally
07-05-2015, 10:57 PM
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Started by dan, 07-03-2015, 02:36 AM
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6 responses
2,120 views
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by bjackson
07-05-2015, 02:53 PM
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Started by friducha, 07-03-2015, 03:48 PM
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1 response
4,332 views
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by Michael Love
07-04-2015, 05:40 AM
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Started by frymor, 07-02-2015, 11:52 PM
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1 response
2,317 views
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Started by pingu, 07-03-2015, 01:56 AM
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1 response
1,467 views
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Started by kurban910, 07-03-2015, 06:21 AM
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2 responses
2,549 views
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by kurban910
07-03-2015, 09:30 AM
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Started by Tom2013, 07-02-2015, 07:54 AM
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4 responses
2,084 views
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by Tom2013
07-03-2015, 07:58 AM
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Started by annaprotasio, 07-02-2015, 09:10 AM
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3 responses
2,789 views
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by annaprotasio
07-03-2015, 05:35 AM
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Started by meghavarshney, 07-02-2015, 04:45 AM
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2 responses
3,477 views
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by maxsalm
07-03-2015, 05:19 AM
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Started by meghavarshney, 07-01-2015, 09:13 PM
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7 responses
3,074 views
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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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25 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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by SEQadmin2
07-08-2026, 10:08 AM
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