Introduction to the biomartr Package
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چکیده
In the post-genomic era, biological sequences are used to investigate most phenomena of molecular biology. The growing number of databases and their entries allows us to design meta-studies in a new dimension and to re-investigate known phenomena from a new perspective. Neverthless, from a data science point of view this vast amount of heterogenous data, coming from very different data resources and data standards is very hard to transform from heterogenous to homogenous data. The detection of significant patterns within meta-analyses, therefore relies on high quality data analysis and data science.
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Biomartr: genomic data retrieval with R
Motivation Retrieval and reproducible functional annotation of genomic data are crucial in biology. However, the current poor usability and transparency of retrieval methods hinders reproducibility. Here we present an open source R package, biomartr , which provides a comprehensive easy-to-use framework for automating data retrieval and functional annotation for meta-genomic approaches. The fun...
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