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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by cfuttner, 02-25-2015, 07:41 AM
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5 responses
9,403 views
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by Bertha77
01-30-2016, 08:13 AM
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Started by 78Matthias87, 01-24-2016, 04:10 AM
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4 responses
3,041 views
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by kerplunk412
01-27-2016, 03:29 PM
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Started by JakobHedegaard, 01-27-2016, 03:15 AM
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1 response
1,554 views
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Started by Pab77, 01-25-2016, 12:08 PM
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3 responses
4,191 views
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by kerplunk412
01-25-2016, 03:41 PM
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Started by DonDolowy, 02-27-2014, 12:29 AM
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2 responses
3,657 views
0 reactions
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by seqsyd
01-22-2016, 03:41 AM
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Started by candicechu, 01-20-2016, 01:11 PM
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3 responses
1,752 views
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Started by captainentropy, 09-13-2010, 03:50 PM
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46 responses
27,761 views
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by saida
01-21-2016, 11:00 AM
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Started by candicechu, 01-20-2016, 01:17 PM
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1 response
3,029 views
0 reactions
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Started by jgibbons1, 01-09-2016, 10:59 AM
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1 response
2,092 views
0 reactions
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by qsonica
01-18-2016, 11:18 AM
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Started by saida, 04-01-2015, 10:28 AM
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2 responses
2,360 views
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Last Post
by saida
01-15-2016, 04:00 AM
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Next-generation sequencing (NGS) is now central to outbreak investigations and antimicrobial resistance tracking. Through sophisticated...-
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CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
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Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
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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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Started by SEQadmin2, Today, 02:55 AM
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by SEQadmin2
Today, 02:55 AM
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Started by SEQadmin2, 07-24-2026, 12:17 PM
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by SEQadmin2
07-24-2026, 12:17 PM
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Started by SEQadmin2, 07-23-2026, 11:41 AM
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12 views
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by SEQadmin2
07-23-2026, 11:41 AM
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