Objectives: To highlight and provide insights into key developments in translational bioinformatics between 2014 and 2016. Methods: This review describes some of the most influential bioinformatics papers and resources that have been published between 2014 and 2016 as well as the national genome sequencing initiatives that utilize these resources to routinely embed genomic medicine into healthcare. Also discussed are some applications of the secondary use of patient data followed by a comprehensive view of the open challenges and emergent technologies. Results: Although data generation can be performed routinely, analyses and data integration methods still require active research and standardization to improve streamlining of clinical interpretation. The secondary use of patient data has resulted in the development of novel algorithms and has enabled a refined understanding of cellular and phenotypic mechanisms. New data storage and data sharing approaches are required to enable diverse biomedical communities to contribute to genomic discovery. Conclusion: The translation of genomics data into actionable knowledge for use in healthcare is transforming the clinical landscape in an unprecedented way. Exciting and innovative models that bridge the gap between clinical and academic research are set to open up the field of translational bioinformatics for rapid growth in a digital era. Georg Thieme Verlag KG Stuttgart.
Objectives: To highlight and provide insights into key developments in translational bioinformatics between 2014 and 2016. Methods: This review describes some of the most influential bioinformatics papers and resources that have been published between 2014 and 2016 as well as the national genome sequencing initiatives that utilize these resources to routinely embed genomic medicine into healthcare. Also discussed are some applications of the secondary use of patient data followed by a comprehensive view of the open challenges and emergent technologies. Results: Although data generation can be performed routinely, analyses and data integration methods still require active research and standardization to improve streamlining of clinical interpretation. The secondary use of patient data has resulted in the development of novel algorithms and has enabled a refined understanding of cellular and phenotypic mechanisms. New data storage and data sharing approaches are required to enable diverse biomedical communities to contribute to genomic discovery. Conclusion: The translation of genomics data into actionable knowledge for use in healthcare is transforming the clinical landscape in an unprecedented way. Exciting and innovative models that bridge the gap between clinical and academic research are set to open up the field of translational bioinformatics for rapid growth in a digital era. Georg Thieme Verlag KG Stuttgart.
Authors: J R Riordan; J M Rommens; B Kerem; N Alon; R Rozmahel; Z Grzelczak; J Zielenski; S Lok; N Plavsic; J L Chou Journal: Science Date: 1989-09-08 Impact factor: 47.728
Authors: Claire E Wainwright; J Stuart Elborn; Bonnie W Ramsey; Gautham Marigowda; Xiaohong Huang; Marco Cipolli; Carla Colombo; Jane C Davies; Kris De Boeck; Patrick A Flume; Michael W Konstan; Susanna A McColley; Karen McCoy; Edward F McKone; Anne Munck; Felix Ratjen; Steven M Rowe; David Waltz; Michael P Boyle Journal: N Engl J Med Date: 2015-05-17 Impact factor: 91.245
Authors: Sarah Bowdin; Adel Gilbert; Emma Bedoukian; Christopher Carew; Margaret P Adam; John Belmont; Barbara Bernhardt; Leslie Biesecker; Hans T Bjornsson; Miriam Blitzer; Lisa C A D'Alessandro; Matthew A Deardorff; Laurie Demmer; Alison Elliott; Gerald L Feldman; Ian A Glass; Gail Herman; Lucia Hindorff; Fuki Hisama; Louanne Hudgins; A Micheil Innes; Laird Jackson; Gail Jarvik; Raymond Kim; Bruce Korf; David H Ledbetter; Mindy Li; Eriskay Liston; Christian Marshall; Livija Medne; M Stephen Meyn; Nasim Monfared; Cynthia Morton; John J Mulvihill; Sharon E Plon; Heidi Rehm; Amy Roberts; Cheryl Shuman; Nancy B Spinner; D James Stavropoulos; Kathleen Valverde; Darrel J Waggoner; Alisha Wilkens; Ronald D Cohn; Ian D Krantz Journal: Genet Med Date: 2016-05-12 Impact factor: 8.822
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