دورية أكاديمية
Uncovering hidden duplicated content in public transcriptomics data.
العنوان: | Uncovering hidden duplicated content in public transcriptomics data. |
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المؤلفون: | Rosikiewicz M; Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland., Comte A, Niknejad A, Robinson-Rechavi M, Bastian FB |
المصدر: | Database : the journal of biological databases and curation [Database (Oxford)] 2013 Mar 13; Vol. 2013, pp. bat010. Date of Electronic Publication: 2013 Mar 13 (Print Publication: 2013). |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford : Oxford Journals, 2009- |
مواضيع طبية MeSH: | Databases, Genetic* , Gene Expression Profiling* , Statistics as Topic*, Gene Expression Regulation ; Humans ; Oligonucleotide Array Sequence Analysis |
مستخلص: | As part of the development of the database Bgee (a dataBase for Gene Expression Evolution), we annotate and analyse expression data from different types and different sources, notably Affymetrix data from GEO and ArrayExpress, and RNA-Seq data from SRA. During our quality control procedure, we have identified duplicated content in GEO and ArrayExpress, affecting ∼14% of our data: fully or partially duplicated experiments from independent data submissions, Affymetrix chips reused in several experiments, or reused within an experiment. We present here the procedure that we have established to filter such duplicates from Affymetrix data, and our procedure to identify future potential duplicates in RNA-Seq data. |
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تواريخ الأحداث: | Date Created: 20130315 Date Completed: 20130627 Latest Revision: 20211021 |
رمز التحديث: | 20221213 |
مُعرف محوري في PubMed: | PMC3595988 |
DOI: | 10.1093/database/bat010 |
PMID: | 23487185 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1758-0463 |
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DOI: | 10.1093/database/bat010 |