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Identifying mouse models for skin cancer using the M ouse T umor B iology D atabase
Author(s) -
Begley Dale A.,
Krupke Debra M.,
Neuhauser Steven B.,
Richardson Joel E.,
Schofield Paul N.,
Bult Carol J.,
Eppig Janan T.,
Sundberg John P.
Publication year - 2014
Publication title -
experimental dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 96
eISSN - 1600-0625
pISSN - 0906-6705
DOI - 10.1111/exd.12512
Subject(s) - computational biology , cancer , computer science , genetically engineered , biology , genetics , gene
Abstract In recent years, the scientific community has generated an ever‐increasing amount of data from a growing number of animal models of human cancers. Much of these data come from genetically engineered mouse models. Identifying appropriate models for skin cancer and related relevant genetic data sets from an expanding pool of widely disseminated data can be a daunting task. The M ouse T umor B iology D atabase ( MTB ) provides an electronic archive, search and analysis system that can be used to identify dermatological mouse models of cancer, retrieve model‐specific data and analyse these data. In this report, we detail MTB 's contents and capabilities, together with instructions on how to use MTB to search for skin‐related tumor models and associated data.