atlases as topic

Summary

Summary: Works on collections of illustrative plates, charts, etc., usually with explanatory captions.

Top Publications

  1. Guariguata L. By the numbers: new estimates from the IDF Diabetes Atlas Update for 2012. Diabetes Res Clin Pract. 2012;98:524-5 pubmed publisher
  2. Ecker J, Geschwind D, Kriegstein A, Ngai J, Osten P, Polioudakis D, et al. The BRAIN Initiative Cell Census Consortium: Lessons Learned toward Generating a Comprehensive Brain Cell Atlas. Neuron. 2017;96:542-557 pubmed publisher
    ..These projects lay the foundation for a larger and longer-term effort to generate whole-brain cell atlases in species including mice and humans. ..
  3. Hildebrand D, Cicconet M, Torres R, Choi W, Quan T, Moon J, et al. Whole-brain serial-section electron microscopy in larval zebrafish. Nature. 2017;545:345-349 pubmed publisher
    ..All obtained images and reconstructions are provided as an open-access resource. ..
  4. Richardson L, Graham L, Moss J, Burton N, Roochun Y, Armit C, et al. Developing the eHistology Atlas. Database (Oxford). 2015;2015: pubmed publisher
    ..This technology also permits future extensions to the resource through the addition of further layers of data and annotations to the resource. Database URL: www.emouseatlas.org/emap/eHistology/index.php. ..
  5. Moran A, Roth G, Narula J, Mensah G. 1990-2010 global cardiovascular disease atlas. Glob Heart. 2014;9:3-16 pubmed publisher
  6. Forrest A, Kawaji H, Rehli M, Baillie J, de Hoon M, Haberle V, et al. A promoter-level mammalian expression atlas. Nature. 2014;507:462-70 pubmed publisher
    ..The functional annotation of the mammalian genome 5 (FANTOM5) project provides comprehensive expression profiles and functional annotation of mammalian cell-type-specific transcriptomes with wide applications in biomedical research. ..
  7. Chen K, Navin N, Wang Y, Schmidt H, Wallis J, Niu B, et al. BreakTrans: uncovering the genomic architecture of gene fusions. Genome Biol. 2013;14:R87 pubmed publisher
    ..Applying BreakTrans to 43 breast cancer samples in The Cancer Genome Atlas identifies 90 genomically validated gene fusions. BreakTrans is available at http://bioinformatics.mdanderson.org/main/BreakTrans. ..
  8. Hawrylycz M, Baldock R, Burger A, Hashikawa T, Johnson G, Martone M, et al. Digital atlasing and standardization in the mouse brain. PLoS Comput Biol. 2011;7:e1001065 pubmed publisher
  9. Schmidt C. NTP nonneoplastic lesion atlas: a new tool for toxicologic pathology. Environ Health Perspect. 2014;122:A76-9 pubmed publisher

More Information

Publications19

  1. Birmingham K, Gradinaru V, Anikeeva P, Grill W, Pikov V, McLaughlin B, et al. Bioelectronic medicines: a research roadmap. Nat Rev Drug Discov. 2014;13:399-400 pubmed publisher
  2. Browne P, Chandraratna D, Angood C, Tremlett H, Baker C, Taylor B, et al. Atlas of Multiple Sclerosis 2013: A growing global problem with widespread inequity. Neurology. 2014;83:1022-4 pubmed publisher
  3. Wang W, Baladandayuthapani V, Holmes C, Do K. Integrative network-based Bayesian analysis of diverse genomics data. BMC Bioinformatics. 2013;14 Suppl 13:S8 pubmed publisher
    ..In addition, we identified some microRNAs that can potentially affect patient survival which are missed by non-integrative approaches. ..
  4. Armit C, Richardson L, Venkataraman S, Graham L, Burton N, Hill B, et al. eMouseAtlas: An atlas-based resource for understanding mammalian embryogenesis. Dev Biol. 2017;423:1-11 pubmed publisher
    ..In addition, we discuss new developments including a cellular-resolution placental atlas, third-party atlas models, clonal analysis data and a new interactive eLearning resource for developmental processes. ..
  5. Zhang J, Zhang S. Discovery of cancer common and specific driver gene sets. Nucleic Acids Res. 2017;45:e86 pubmed publisher
    ..In these processes more candidate cancer genes are also found. ..
  6. Janusonis S. A receptor-based analysis of local ecosystems in the human brain. BMC Neurosci. 2017;18:33 pubmed publisher
    ..In a single framework, they are reconsidered at multiple scales-from individual nuclei and areas to their groups to the entire brain. The analysis provides support for predictive models of brain self-organization and adaptation. ..
  7. Amirian E, Bondy M, Mo Q, Bainbridge M, Scheurer M. Presence of viral DNA in whole-genome sequencing of brain tumor tissues from the cancer genome atlas. J Virol. 2014;88:774 pubmed publisher
  8. Li J, Lu Y, Akbani R, Ju Z, Roebuck P, Liu W, et al. TCPA: a resource for cancer functional proteomics data. Nat Methods. 2013;10:1046-7 pubmed publisher
  9. Grossman R, Abel B, Angiuoli S, Barrett J, Bassett D, Bramlett K, et al. Collaborating to Compete: Blood Profiling Atlas in Cancer (BloodPAC) Consortium. Clin Pharmacol Ther. 2017;101:589-592 pubmed publisher
    ..g., clinical diagnosis, treatment history, and outcomes), and sample preparation and handling protocols to accelerate the development of blood profiling assays. ..
  10. Zheng X, Wei W, Huang Q, Song S, Wan J, Huang G. A Computer-Aided Analysis Method of SPECT Brain Images for Quantitative Treatment Monitoring: Performance Evaluations and Clinical Applications. Biomed Res Int. 2017;2017:1962181 pubmed publisher
    ..In conclusion, the proposed CAA-CRM approach provides a convenient solution to generate a parametric image and derive the quantitative indexes from the longitudinal SPECT brain images for treatment monitoring. ..