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@ARTICLE{Weichenberger:127764,
author = {C. X. Weichenberger and H. Blankenburg and A. Palermo and
Y. D'Elia and E. König and E. Bernstein$^*$ and F. S.
Domingues},
title = {{D}intor: functional annotation of genomic and proteomic
data.},
journal = {BMC genomics},
volume = {16},
number = {1},
issn = {1471-2164},
address = {London},
publisher = {BioMed Central},
reportid = {DKFZ-2017-03786},
pages = {1081},
year = {2015},
abstract = {During the last decade, a great number of extremely
valuable large-scale genomics and proteomics datasets have
become available to the research community. In addition,
dropping costs for conducting high-throughput sequencing
experiments and the option to outsource them considerably
contribute to an increasing number of researchers becoming
active in this field. Even though various computational
approaches have been developed to analyze these data, it is
still a laborious task involving prudent integration of many
heterogeneous and frequently updated data sources, creating
a barrier for interested scientists to accomplish their own
analysis.We have implemented Dintor, a data integration
framework that provides a set of over 30 tools to assist
researchers in the exploration of genomics and proteomics
datasets. Each of the tools solves a particular task and
several tools can be combined into data processing
pipelines. Dintor covers a wide range of frequently required
functionalities, from gene identifier conversions and
orthology mappings to functional annotation of proteins and
genetic variants up to candidate gene prioritization and
Gene Ontology-based gene set enrichment analysis. Since the
tools operate on constantly changing datasets, we provide a
mechanism to unambiguously link tools with different
versions of archived datasets, which guarantees reproducible
results for future tool invocations. We demonstrate a
selection of Dintor's capabilities by analyzing datasets
from four representative publications. The open source
software can be downloaded and installed on a local Unix
machine. For reasons of data privacy it can be configured to
retrieve local data only. In addition, the Dintor tools are
available on our public Galaxy web service at
http://dintor.eurac.edu .Dintor is a computational
annotation framework for the analysis of genomic and
proteomic datasets, providing a rich set of tools that cover
the most frequently encountered tasks. A major advantage is
its capability to consistently handle multiple versions of
tool-associated datasets, supporting the researcher in
delivering reproducible results.},
cin = {W310},
ddc = {570},
cid = {I:(DE-He78)W310-20160331},
pnm = {312 - Functional and structural genomics (POF3-312)},
pid = {G:(DE-HGF)POF3-312},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:26691694},
pmc = {pmc:PMC4687148},
doi = {10.1186/s12864-015-2279-5},
url = {https://inrepo02.dkfz.de/record/127764},
}