The Genomic Revolution: Beginnings

2021 ◽  
pp. 75-106
Keyword(s):  
2021 ◽  
Vol 18 (4) ◽  
pp. 366-368
Author(s):  
Benjamin Buchfink ◽  
Klaus Reuter ◽  
Hajk-Georg Drost

AbstractWe are at the beginning of a genomic revolution in which all known species are planned to be sequenced. Accessing such data for comparative analyses is crucial in this new age of data-driven biology. Here, we introduce an improved version of DIAMOND that greatly exceeds previous search performances and harnesses supercomputing to perform tree-of-life scale protein alignments in hours, while matching the sensitivity of the gold standard BLASTP.


2017 ◽  
Vol 471 (2) ◽  
pp. 175-194 ◽  
Author(s):  
Doreen Nguyen ◽  
Christopher D. Gocke

2005 ◽  
Vol 165 (16) ◽  
pp. 1815 ◽  
Author(s):  
Wendy S. Rubinstein ◽  
Hemant K. Roy
Keyword(s):  

2008 ◽  
Vol 89 (4) ◽  
pp. 562-570 ◽  
Author(s):  
Martin T. Hall ◽  
Anna Scheyett ◽  
Kimberly Strom-Gottfried

The mapping of the human genome and scientific discoveries regarding genetic contributions to disease hold great promise for the prevention and treatment of an array of conditions. Social workers and other professionals must keep abreast of these developments and the ethical dimensions of such progress. Familiar ethical provisions such as confidentiality, informed consent, self-determination, and social justice take on new meaning in light of innovations in genetic science. This article reviews ethical issues and practice implications emerging from advances in genetics knowledge, and it suggests mechanisms for continuing professional development and involvement in this important area.


2007 ◽  
Vol 210 (9) ◽  
pp. i-i
Author(s):  
Laura Blackburn
Keyword(s):  

Data Mining ◽  
2013 ◽  
pp. 1131-1148
Author(s):  
Patricio A. Manque ◽  
Ute Woehlbier

Vaccines represent one of the most cost-effective ways to prevent and treat diseases. The use of vaccines in the control of viral diseases represents an important milestone in the history of medicine. The genomic revolution brought us the possibility to scan genomes in the search of new and more effective vaccine candidates and the advancement of bioinformatics provided the framework for the application of strategies that were focused not only on antigen discovery but also on comparative genomics, and pathogenic factor identification and data mining. In addition, the progress in post-genomic technologies including gene expression technologies such as microarray and proteomics gave us the opportunity to explore the host responses to vaccines leading to a better understanding of immune responses to pathogens and/or to vaccines, assisting in the development of new and better vaccines and adjuvants. This chapter will review how systems biology-based approaches including genomics, gene expression technologies, and bioinformatics have changed the way of thinking about antigen discovery and vaccine development. In addition, the chapter will discuss how the study of the host responses in combination with “in silico” approaches could help predict immunogenicity and improve the efficacy of vaccines.


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