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@ARTICLE{Rahman:145065,
      author       = {Rahman, Raza-Ur and Liebhoff, Anna-Maria and Bansal, Vikas
                      and Fiosins, Maksims and Rajput, Ashish and Sattar, Abdul
                      and Magruder, Daniel S and Madan, Sumit and Sun, Ting and
                      Gautam, Abhivyakti and Heins, Sven and Liwinski, Timur and
                      Bethune, Jörn and Trenkwalder, Claudia and Fluck, Juliane
                      and Mollenhauer, Brit and Bonn, Stefan},
      title        = {{SEA}web: the small {RNA} {E}xpression {A}tlas web
                      application.},
      journal      = {Nucleic acids research},
      volume       = {48},
      number       = {D1},
      issn         = {0305-1048},
      address      = {London},
      publisher    = {Information Retrieval Ltd.21517},
      reportid     = {DZNE-2020-00424},
      pages        = {D204-D219},
      year         = {2020},
      abstract     = {We present the Small RNA Expression Atlas (SEAweb), a web
                      application that allows for the interactive querying,
                      visualization and analysis of known and novel small RNAs
                      across 10 organisms. It contains sRNA and pathogen
                      expression information for over 4200 published samples with
                      standardized search terms and ontologies. In addition,
                      SEAweb allows for the interactive visualization and
                      re-analysis of 879 differential expression and 514
                      classification comparisons. SEAweb's user model enables sRNA
                      researchers to compare and re-analyze user-specific and
                      published datasets, highlighting common and distinct sRNA
                      expression patterns. We provide evidence for SEAweb's
                      fidelity by (i) generating a set of 591 tissue specific
                      miRNAs across 29 tissues, (ii) finding known and novel
                      bacterial and viral infections across diseases and (iii)
                      determining a Parkinson's disease-specific blood biomarker
                      signature using novel data. We believe that SEAweb's simple
                      semantic search interface, the flexible interactive reports
                      and the user model with rich analysis capabilities will
                      enable researchers to better understand the potential
                      function and diagnostic value of sRNAs or pathogens across
                      tissues, diseases and organisms.},
      keywords     = {Animals / Bacterial Infections: microbiology / Cattle /
                      Databases, Nucleic Acid / Humans / Internet / Mice / Organ
                      Specificity / Parkinson Disease: blood / RNA, Bacterial:
                      metabolism / RNA, Small Untranslated: metabolism / RNA,
                      Viral: metabolism / Rats / Virus Diseases: virology / RNA,
                      Bacterial (NLM Chemicals) / RNA, Small Untranslated (NLM
                      Chemicals) / RNA, Viral (NLM Chemicals)},
      cin          = {AG Bonn 1},
      ddc          = {540},
      cid          = {I:(DE-2719)1410003},
      pnm          = {342 - Disease Mechanisms and Model Systems (POF3-342)},
      pid          = {G:(DE-HGF)POF3-342},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31598718},
      pmc          = {pmc:PMC6943056},
      doi          = {10.1093/nar/gkz869},
      url          = {https://pub.dzne.de/record/145065},
}