Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

Bioinformatics for human genetics: promises and challenges


Robinson,  P. N.
Research Group Development & Disease (Head: Stefan Mundlos), Max Planck Institute for Molecular Genetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Lindblom, A., & Robinson, P. N. (2011). Bioinformatics for human genetics: promises and challenges. Hum Mutat, 32(5), 495-500. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/21520331 http://onlinelibrary.wiley.com/store/10.1002/humu.21468/asset/21468_ftp.pdf?v=1&t=gyzw5ngg&s=80625552498da5eb2aa543a5f1436c14c7c84da7.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-7804-6
Recent developments, including next-generation sequencing (NGS), bio-ontologies and the Semantic Web, and the growing role of hospital information technology (IT) systems and electronic health records, amass ever-increasing amounts of data before human genetics scientists and clinicians. However, they have ever-improving tools to analyze those data for research and clinical care. Correspondingly, the field of bioinformatics is turning to research questions in the field of human genetics, and the field of human genetics is making greater use of bioinformatic algorithms and tools. The choice of "Bioinformatics and Human Genetics" as the topic of this special issue of Human Mutation reflects this new importance of bioinformatics and medical informatics in human genetics. Experts from among the attendees of the Paris 2010 Human Variome Project symposium provide a survey of some of the "hot" computational topics over the next decade. These experts identify the promise-what human geneticists who are not themselves bioinformaticians stand to gain-as well as the challenges and unmet needs that are likely to represent fruitful areas of research.