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Bioinformatics in Stem Cell Characterization


Affiliations
1 Animal Biotechnology Center National Dairy Research Institute, Karnal-132001, India
 

Speaking in realistic sense a stem cell is endowed with potentials only, which are options rather than specific gene-expression patterns, thereby making its identification vague. Their characterization thus necessitates an overall genomic and proteomic analysis, coupled with mathematical modeling providing for the need for a wide range of bioinformatics tools to efficiently and effectively process large amounts of data being generated. A large number of computational tools and bioinformatic methods are thus required to deal with the experimental riches of this complex and multivariate data and the subsequent transition from data collection to information or knowledge in order to arrive at a universal definition of stemness.

Keywords

Bioinformatics, Stem Cell Characterization, Stemness
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  • Flower D, Macdonald I, Ramakrishan K, Davies M and Doytchinova I (2010) Immunomee research. 6, 2-16.
  • Choo K, Tan T and Ranganathan S(2009) BMC Bioinformatics 10, S2.
  • Zipori D(2004) Nature Reviews Genetics 5, 873-78.
  • Robert JS (2004) Model systems in stem cell biology, BioEssays 26, 1005–1012.
  • Kapetanovic I, Rosenfeld S and Izmirlian G (2004) New York Academy of Sciences. 1020,10-21.

Abstract Views: 523

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  • Bioinformatics in Stem Cell Characterization

Abstract Views: 523  |  PDF Views: 443

Authors

Syed M. Shah
Animal Biotechnology Center National Dairy Research Institute, Karnal-132001, India
N. Saini
Animal Biotechnology Center National Dairy Research Institute, Karnal-132001, India
S. Ashraf
Animal Biotechnology Center National Dairy Research Institute, Karnal-132001, India
M. S. Chauhan
Animal Biotechnology Center National Dairy Research Institute, Karnal-132001, India

Abstract


Speaking in realistic sense a stem cell is endowed with potentials only, which are options rather than specific gene-expression patterns, thereby making its identification vague. Their characterization thus necessitates an overall genomic and proteomic analysis, coupled with mathematical modeling providing for the need for a wide range of bioinformatics tools to efficiently and effectively process large amounts of data being generated. A large number of computational tools and bioinformatic methods are thus required to deal with the experimental riches of this complex and multivariate data and the subsequent transition from data collection to information or knowledge in order to arrive at a universal definition of stemness.

Keywords


Bioinformatics, Stem Cell Characterization, Stemness

References