Correction: Gan, L.; Denecke, B. Profiling Pre-MicroRNA and Mature MicroRNA Expressions Using a Single Microarray and Avoiding Separate Sample Preparation. Microarrays 2013, 2, 24-33.

Microarrays Pub Date : 2013-06-24 DOI:10.3390/microarrays2030170

Lin Gan, Bernd Denecke

引用次数: 1

Abstract

It came to our attention that a paper has recently been published concerning one of the GEO datasets (GSE34413) we cited in our published paper [1]. The original reference (reference 27) cited for this dataset leads to a paper about a similar study from the same research group [2]. In order to provide readers with exact citation information, we would like to update reference 27 in our previous paper to the new published paper concerning GSE34413 [3]. The authors apologize for this inconvenience. [...].

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更正:甘，L.;使用单个微阵列分析预MicroRNA和成熟MicroRNA表达，避免单独的样品制备。芯片，2013,22,24-33。

我们注意到最近发表了一篇关于我们在发表的论文[1]中引用的GEO数据集之一(GSE34413)的论文。该数据集引用的原始参考文献(文献27)引出了同一研究小组的一篇类似研究的论文[2]。为了给读者提供准确的引文信息，我们将之前论文中的参考文献27更新为新发表的关于GSE34413的论文[3]。作者对造成的不便表示歉意。[…]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Microarrays

自引率

0.00%

发文量

审稿时长

11 weeks

期刊介绍： High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.