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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
107,465 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
683,619 views
1 reaction
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by ECO
12-25-2009, 06:45 PM
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Started by NeleZ, 10-16-2014, 01:35 AM
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3 responses
2,965 views
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by wrutter
01-05-2015, 09:34 AM
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Started by fabrice, 06-19-2011, 03:11 PM
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8 responses
15,996 views
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by FlorDV
01-05-2015, 08:48 AM
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Started by Irina Pulyakhina, 12-24-2014, 06:18 AM
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2 responses
2,420 views
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by nnutter
01-05-2015, 07:43 AM
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Started by ecSeq Bioinformatics, 01-05-2015, 01:22 AM
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1,620 views
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Started by quokka, 01-04-2015, 04:44 PM
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2 responses
1,797 views
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by quokka
01-05-2015, 01:02 AM
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Started by linp5, 01-04-2015, 09:24 PM
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3 responses
1,877 views
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by dpryan
01-05-2015, 12:52 AM
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Started by chayan, 01-04-2015, 11:51 PM
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4 responses
3,538 views
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by dpryan
01-05-2015, 12:50 AM
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Started by lexogen, 12-23-2014, 03:35 AM
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2 responses
2,043 views
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by lexogen
01-05-2015, 12:08 AM
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Started by angel-sakura, 01-04-2015, 02:04 AM
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1 response
3,869 views
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by dpryan
01-04-2015, 02:20 AM
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Started by Fernas, 01-03-2015, 03:19 AM
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3 responses
3,201 views
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Last Post
by GenoMax
01-03-2015, 07:04 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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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, Today, 10:26 AM
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Today, 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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07-08-2026, 10:08 AM
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