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@ARTICLE{Costa:289125,
      author       = {R. L. Costa and L. Gadelha$^*$ and M. D'arc and M.
                      Ribeiro-Alves and D. L. Robertson and J.-M. Schwartz and M.
                      A. Soares and F. Porto},
      title        = {{HIHISIV}: a database of gene expression in {HIV} and {SIV}
                      host immune response.},
      journal      = {BMC bioinformatics},
      volume       = {25},
      number       = {1},
      issn         = {1471-2105},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2024-00592},
      pages        = {125},
      year         = {2024},
      abstract     = {In the battle of the host against lentiviral pathogenesis,
                      the immune response is crucial. However, several questions
                      remain unanswered about the interaction with different
                      viruses and their influence on disease progression. The
                      simian immunodeficiency virus (SIV) infecting nonhuman
                      primates (NHP) is widely used as a model for the study of
                      the human immunodeficiency virus (HIV) both because they are
                      evolutionarily linked and because they share physiological
                      and anatomical similarities that are largely explored to
                      understand the disease progression. The HIHISIV database was
                      developed to support researchers to integrate and evaluate
                      the large number of transcriptional data associated with the
                      presence/absence of the pathogen (SIV or HIV) and the host
                      response (NHP and human). The datasets are composed of
                      microarray and RNA-Seq gene expression data that were
                      selected, curated, analyzed, enriched, and stored in a
                      relational database. Six query templates comprise the main
                      data analysis functions and the resulting information can be
                      downloaded. The HIHISIV database, available at
                      https://hihisiv.github.io , provides accurate resources for
                      browsing and visualizing results and for more robust
                      analyses of pre-existing data in transcriptome
                      repositories.},
      keywords     = {HIV-1 (Other) / High-throughput gene expression data
                      (Other) / Immune response (Other) / SIV (Other)},
      cin          = {W620},
      ddc          = {610},
      cid          = {I:(DE-He78)W620-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38519883},
      doi          = {10.1186/s12859-024-05740-7},
      url          = {https://inrepo02.dkfz.de/record/289125},
}