NDLI: Topological methods for genomics: present and future directions.

Content Provider	Semantic Scholar
Author	Cámara, Pablo G.
Copyright Year	2017
Abstract	Topological methods are emerging as a new set of tools for the analysis of large genomic datasets. They are mathematically grounded methods that extract information from the geometric structure of data. In the last few years, applications to evolutionary biology, cancer genomics, and the analysis of complex diseases have uncovered significant biological results, highlighting their utility for fulfilling some of the current analytic needs of genomics. In this review, the state of the art in the application of topological methods to genomics is summarized, and some of the present limitations and possible future developments are reviewed.
Starting Page	95
Ending Page	101
Page Count	7
File Format	PDF HTM / HTML
DOI	10.1016/j.coisb.2016.12.007
PubMed reference number	28983521
Journal	Medline
Volume Number	1
Alternate Webpage(s)	https://s3.amazonaws.com/cdn.ayasdi.com/wp-content/uploads/2017/03/29160211/1-s2.0-S2452310016300270-main.pdf
Alternate Webpage(s)	https://doi.org/10.1016/j.coisb.2016.12.007
Journal	Current opinion in systems biology
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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