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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 sleepybob, 09-10-2013, 12:23 PM
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by sleepybob
09-10-2013, 11:43 PM
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Started by fbarreto, 09-10-2013, 05:09 PM
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by fbarreto
09-10-2013, 05:09 PM
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Started by ashuchawla, 09-10-2013, 10:05 AM
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09-10-2013, 10:05 AM
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Started by daysfoot, 09-10-2013, 07:50 AM
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by chadn737
09-10-2013, 09:35 AM
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Started by matB, 09-10-2013, 07:08 AM
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09-10-2013, 07:08 AM
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Started by ckkevin911, 09-07-2013, 08:09 AM
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09-07-2013, 08:09 AM
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Started by jaison75, 09-05-2013, 12:06 PM
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09-05-2013, 12:06 PM
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Started by himanshu04, 04-16-2012, 07:01 AM
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by bigmw
09-05-2013, 08:04 AM
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Started by MichalO, 08-29-2013, 04:56 AM
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by lpachter
09-05-2013, 12:20 AM
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Started by clausie, 09-04-2013, 05:41 AM
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09-04-2013, 05:41 AM
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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.
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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.
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07-24-2026, 12:17 PM
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07-23-2026, 11:41 AM
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07-20-2026, 11:10 AM
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