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Techniques and protocol discussions on sample preparation, library generation, methods and ideas
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Started by scaspar, 11-01-2020, 06:57 AM
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by scaspar
11-01-2020, 06:57 AM
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Started by MzwaneleN, 10-09-2020, 02:07 PM
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2,812 views
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by MzwaneleN
10-09-2020, 02:07 PM
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Started by cplinka, 10-05-2020, 12:33 PM
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3 responses
3,156 views
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Started by rougaroux, 09-23-2020, 05:16 PM
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5 responses
3,724 views
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by jdk787
10-02-2020, 06:38 PM
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Started by Ggnome, 09-30-2020, 10:25 AM
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3 responses
585 views
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by Ggnome
10-01-2020, 03:32 PM
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Started by MzwaneleN, 09-19-2020, 08:34 PM
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3,004 views
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by MzwaneleN
09-19-2020, 08:34 PM
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Started by al_igator, 09-14-2020, 01:56 AM
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5 responses
3,086 views
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by luc
09-17-2020, 11:26 PM
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Started by ETBA, 08-24-2020, 04:57 AM
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1 response
3,037 views
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by GenoMax
08-24-2020, 09:51 AM
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Started by samd, 03-21-2020, 09:09 AM
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12 responses
7,899 views
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by samd
08-19-2020, 08:17 AM
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Started by CharmingAlpaca, 07-29-2020, 03:59 PM
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1 response
2,366 views
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by mohdsos
08-18-2020, 01:56 PM
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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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07-24-2026, 12:17 PM
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Started by SEQadmin2, 07-23-2026, 11:41 AM
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by SEQadmin2
07-23-2026, 11:41 AM
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