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新旧结合:为整合历史微阵列研究与下一代测序提供框架。

Leveraging the new with the old: providing a framework for the integration of historic microarray studies with next generation sequencing.

作者信息

Bauer Michael A, Chavan Shweta S, Peterson Erich A, Heuck Christoph J, Johann Donald J

出版信息

BMC Bioinformatics. 2014;15 Suppl 11(Suppl 11):S3. doi: 10.1186/1471-2105-15-S11-S3. Epub 2014 Oct 21.

Abstract

Next Generation Sequencing (NGS) methods are rapidly providing remarkable advances in our ability to study the molecular profiles of human cancers. However, the scientific discovery offered by NGS also includes challenges concerning the interpretation of large and non-trivial experimental results. This task is potentially further complicated when a multitude of molecular profiling modalities are available, with the goal of a more integrative and comprehensive analysis of the cancer biology.

摘要

下一代测序(NGS)方法正在迅速推动我们在研究人类癌症分子图谱方面取得显著进展。然而,NGS带来的科学发现也包括在解释大量且复杂的实验结果方面所面临的挑战。当有多种分子图谱分析方法可用于对癌症生物学进行更综合、全面的分析时,这项任务可能会进一步复杂化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a52/4251047/9c4be36c415e/1471-2105-15-S11-S3-1.jpg

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