Ko et al.of the Korean BioInformation Center discuss their Closha web service for large-scale genomic data analysis in this 2018 paper published in BMC Bioinformatics. Noting a lack of rapid, cost-effective genomics workflow capable of running all the major genomic data analysis application in one pipeline, the researchers developed a hybrid system that can combine workflows. Additionally, they developed an add-on tool that handles the sheer size of genomic files and the speed with which they transfer, reaching transfer speeds "of up to 10 times that of normal FTP and HTTP." They conclude that "Closha allows genomic researchers without informatics or programming expertise to perform complex large-scale analysis with only a web browser."
This brief paper published in BMC Bioinformatics provides a sociological examination of the world of bioinformatics and how it's perceived institutionally. Bartlett et al. argue that institutionally while less focus is place on bioinformatics processes and more on the data input and output, putting the contributions of bioinformaticists into a "black box," losing scientific credit in the process. The researchers conclude that "[i]n the pursuit of relevance and impact, future scientific careers will increasingly involve playing the role of a fractional scientist ... combining a variety of expertise and epistemic aspirations..." to become "tomorrow's bioinformatic scientists."
Genomic data is increasingly used to provide better, more focused clinical care. Or course, its associated datasets can be large, and it can take significant processing power to utilize and manage effectively. In this 2016 paper published in Journal of Personalized Medicine, Tsai et al. of Partners Healthcare describe their "bioinformatics strategy to efficiently process and deliver genomic data to geneticists for clinical interpretation." They conclude that with more research comes improved workflows and "filtrations that include larger portions of the non-coding regions as they start to have utility in the clinical setting, ultimately enabling the full utility of complete genome sequencing."
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