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Sequencing by Oligo Ligation/Detection (Life Technologies)
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Started by ECO, 11-11-2007, 11:23 PM
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Started by exprofiler, 09-22-2008, 08:10 AM
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36 responses
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by ringo1230
10-30-2012, 11:04 PM
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Started by shunyip, 08-08-2014, 02:35 AM
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by chelseaclark
02-25-2022, 11:36 PM
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Started by Michael L. Altshuler, 12-17-2013, 04:26 AM
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4 responses
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by Giovanni20
09-14-2021, 12:01 AM
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Started by Bachbioinfo, 07-06-2015, 11:55 AM
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6 responses
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by khilesh46
08-15-2021, 12:08 AM
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Started by samhokin, 06-24-2019, 07:21 AM
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3 responses
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by awhite95
02-24-2021, 07:24 AM
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Started by ECO, 07-23-2008, 09:08 PM
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by nomanjazib
03-14-2018, 03:06 AM
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Started by seqitall, 12-02-2017, 02:49 PM
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by seqitall
12-02-2017, 02:49 PM
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Started by cbstore, 08-13-2017, 03:37 PM
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by cbstore
08-13-2017, 03:37 PM
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Started by Ilarius, 11-29-2016, 03:35 AM
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4 responses
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by gringer
08-06-2017, 08:44 PM
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Started by cement_head, 05-20-2016, 10:38 AM
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15 responses
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Started by znasim09, 04-06-2016, 09:30 PM
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13 responses
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by gringer
04-09-2016, 11:21 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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Channel: Articles
07-01-2026, 11:43 AM -
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Started by SEQadmin2, Yesterday, 10:26 AM
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by SEQadmin2
Yesterday, 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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