The genomic basis of medicine

2010 ◽  
pp. 136-151
Author(s):  
Paweł Stankiewicz ◽  
James R. Lupski
Keyword(s):  
Dna Sequence ◽  
Dna Content ◽  
Sequence Data ◽  
Dna Sequence Data ◽  
Enormous Amount ◽  
Living Organisms ◽  
Genomic Basis ◽  
Genetic Bases

During the last two decades it has become possible to determine the entire DNA content of living organisms—the genome. The completion of the human reference DNA sequence has provided an enormous amount of DNA sequence data and has extended our view of the genetic bases of disease....

scholarly journals Genetic relationships in the genus Gentiana based on chloroplast DNA sequence data and nuclear DNA content

2009 ◽  
Vol 59 (2) ◽  
pp. 119-127 ◽  
Author(s):  
Kei-ichiro Mishiba ◽  
Kyoko Yamane ◽  
Takashi Nakatsuka ◽  
Yuki Nakano ◽  
Saburo Yamamura ◽  
...  
Keyword(s):  
Chloroplast Dna ◽  
Dna Sequence ◽  
Dna Content ◽  
Nuclear Dna ◽  
Sequence Data ◽  
Genetic Relationships ◽  
Nuclear Dna Content ◽  
Dna Sequence Data

scholarly journals DNA sonification for public engagement in bioinformatics

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Heleen Plaisier ◽  
Thomas R. Meagher ◽  
Daniel Barker
Keyword(s):  
Dna Sequence ◽  
Public Engagement ◽  
Sequence Data ◽  
Sensory Perception ◽  
Data Representation ◽  
Sequence Information ◽  
Dna Sequence Data ◽  
Public Events ◽  
Dna Base ◽  
Alternative Means

Abstract Objective Visualisation methods, primarily color-coded representation of sequence data, have been a predominant means of representation of DNA data. Algorithmic conversion of DNA sequence data to sound—sonification—represents an alternative means of representation that uses a different range of human sensory perception. We propose that sonification has value for public engagement with DNA sequence information because it has potential to be entertaining as well as informative. We conduct preliminary work to explore the potential of DNA sequence sonification in public engagement with bioinformatics. We apply a simple sonification technique for DNA, in which each DNA base is represented by a specific note. Additionally, a beat may be added to indicate codon boundaries or for musical effect. We report a brief analysis from public engagement events we conducted that featured this method of sonification. Results We report on use of DNA sequence sonification at two public events. Sonification has potential in public engagement with bioinformatics, both as a means of data representation and as a means to attract audience to a drop-in stand. We also discuss further directions for research on integration of sonification into bioinformatics public engagement and education.

A new Liopeltis Fitzinger, 1843 (Squamata: Colubridae) from Pulau Tioman, Peninsular Malaysia

Zootaxa ◽  
2020 ◽  
Vol 4766 (3) ◽  
pp. 472-484
Author(s):  
HANNAH E. SOM ◽  
L. LEE GRISMER ◽  
PERRY L. JR. WOOD ◽  
EVAN S. H. QUAH ◽  
RAFE M. BROWN ◽  
...  
Keyword(s):  
Mitochondrial Dna ◽  
New Species ◽  
Dna Sequence ◽  
Rare Species ◽  
Sequence Data ◽  
Peninsular Malaysia ◽  
Tropical Asia ◽  
Dna Sequence Data ◽  
A New Species ◽  
Lines Of Evidence

Liopeltis is a genus of poorly known, infrequently sampled species of colubrid snakes in tropical Asia. We collected a specimen of Liopeltis from Pulau Tioman, Peninsular Malaysia, that superficially resembled L. philippina, a rare species that is endemic to the Palawan Pleistocene Aggregate Island Complex, western Philippines. We analyzed morphological and mitochondrial DNA sequence data from the Pulau Tioman specimen and found distinct differences to L. philippina and all other congeners. On the basis of these corroborated lines of evidence, the Pulau Tioman specimen is described as a new species, L. tiomanica sp. nov. The new species occurs in sympatry with L. tricolor on Pulau Tioman, and our description of L. tiomanica sp. nov. brings the number of endemic amphibians and reptiles on Pulau Tioman to 12. 

scholarly journals Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data

2007 ◽  
Vol 3 ◽  
pp. 193-197 ◽  
Author(s):  
Kou Amano ◽  
Hiroaki Ichikawa ◽  
Hidemitsu Nakamura ◽  
Hisataka Numa ◽  
Kaoru Fukami-Kobayashi ◽  
...  
Keyword(s):  
Dna Sequence ◽  
Hierarchical Clustering ◽  
Large Scale ◽  
Sequence Data ◽  
Dna Sequence Data ◽  
Self Organizing
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