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Application of sequencing to RNA analysis (RNA-Seq, whole transcriptome, SAGE, expression analysis, novel organism mining, splice variants)
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Started by jgoecks, 11-29-2010, 02:06 PM
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by suparmin
11-07-2016, 01:02 AM
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Started by devking, 11-05-2012, 11:31 AM
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by gareth.lim
12-23-2014, 10:34 AM
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Started by capricy, 12-16-2014, 09:03 PM
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2 responses
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Started by Claudia34, 12-16-2014, 08:11 AM
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by Claudia34
12-17-2014, 05:39 AM
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Started by segal86, 12-12-2014, 01:12 PM
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by segal86
12-12-2014, 01:12 PM
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Started by MichelaG, 12-11-2014, 02:00 PM
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Started by hallpell, 12-10-2014, 10:51 AM
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Started by Olioli, 11-24-2014, 06:41 AM
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by Olioli
12-11-2014, 02:31 AM
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Started by jbio, 12-09-2014, 06:58 AM
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3 responses
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by dpryan
12-10-2014, 07:44 AM
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Started by mpalegre, 10-22-2014, 01:25 AM
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by mlou
12-09-2014, 01:05 PM
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Started by vipul jain, 12-09-2014, 03:00 AM
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by Asaf
12-09-2014, 05:26 AM
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by SEQadmin2
Next-generation sequencing (NGS) is now central to outbreak investigations and antimicrobial resistance tracking. Through sophisticated...-
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by SEQadmin2
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).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
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by SEQadmin2
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.
The systematic characterization of the human proteome has...-
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07-20-2026, 11:48 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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Started by SEQadmin2, Today, 02:55 AM
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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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07-23-2026, 11:41 AM
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