title: Large-scale neuroinformatics for in situ hybridization data in the mouse brain.
abstract: Large-scale databases of the brain are providing content to the neuroscience community through molecular, cellular, functional, and connectomic data. Organization, presentation, and maintenance requirements are substantial given the complexity, diverse modalities, resolution, and scale. In addition to microarrays, magnetic resonance imaging, and RNA sequencing, several in situ hybridization databases have been constructed due to their value in spatially localizing cellular expression. Scalable techniques for processing and presenting these data for maximum utility in viewing and analysis are key for end user value. We describe methods and use cases for the Allen Brain Atlas resources of the adult and developing mouse.
authors.affiliation: Allen Institute for Brain Science, Seattle, Washington, USA.
authors.forename: Lydia L
authors.initials: LL
authors.lastname: Ng
authors.forename: Susan M
authors.initials: SM
authors.lastname: Sunkin
authors.forename: David
authors.initials: D
authors.lastname: Feng
authors.forename: Chris
authors.initials: C
authors.lastname: Lau
authors.forename: Chinh
authors.initials: C
authors.lastname: Dang
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Hawrylycz
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology / Q000378:metabolism*; D001931:Brain Mapping; D019295:Computational Biology; D016208:Databases, Factual; D015870:Gene Expression / Q000502:physiology*; D017403:In Situ Hybridization; D051379:Mice