RNA Sequencing Kits to Improve NGS Workflow
20 Nov 2012

AMSBIO small RNA and mRNA sample library construction kits have been designed to enable fast and cost-effective Next-Generation Sequencing (NGS).

As a disruptive technology, NGS is rapidly changing the landscape of biomarker research, clinical diagnostics, and drug development. NGS technologies include a number of methods that are grouped broadly as template preparation, sequencing and imaging, and data analysis. The unique combination of specific protocols distinguishes one technology from another and determines the type of data produced from each platform. However, the basic sample process requirements, so called library construction, are shared among all of the technology platforms.

AMSBIO's sample library construction kits reduce NGS workflow complexity, shorten sample library preparation time and labor, and minimize errors by eliminating extra steps and optimizing the experiment protocol. With input RNA requirement as low as 0.5ng, AMSBIO kits can be used for the sample preparation from rare and difficult to obtain sources, such as the pathological samples. They can also be used for the situations where the samples are degraded as with formalin fixed paraffin embedded (FFPE) tissue samples.

AMSBIO kits are designed to enable you to query thousands of small RNA sequences with unprecedented sensitivity and dynamic range for both small RNA discovery and profiling applications. In addition the kits can be used to find novel microRNAs, characterize variation such as isomirs with single-base resolution, and analyze the differential expression of all small RNAs in any sample without prior assumptions. Supplied in a convenient, easy-to-use all-in-one format - AMSBIO sample library construction kits are also proven to quickly generate full sequence from any poly-A tailed RNA with the simple and cost-effective RNA Sample Preparation kit to analyze novel transcripts, novel isoforms, alternative splice sites, rare transcripts, and cSNPs in a single experiment.

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