Characterization Of Complex Samples By Laser-Excited Matrix-Isolation Fluorescence Spectrometry

1983 ◽  
Vol 22 (5) ◽  
Author(s):  
E. L. Wehry ◽  
Vincent B. Conrad ◽  
John L. Hammons ◽  
Jon R. Maple ◽  
Mildred B. Perry
Author(s):  
Jay Amicangelo ◽  
Lia Totleben ◽  
Jacob Oslosky ◽  
Yudhishtara Payagala ◽  
Catherine Kaiser ◽  
...  

2017 ◽  
Vol 147 (18) ◽  
pp. 184301 ◽  
Author(s):  
Sergey V. Ryazantsev ◽  
Daniil A. Tyurin ◽  
Vladimir I. Feldman ◽  
Leonid Khriachtchev

1989 ◽  
pp. 261-268 ◽  
Author(s):  
George Andermann ◽  
Francis Fujiwara ◽  
T. C. Huang ◽  
J. K. Howard ◽  
N. Staud

2000 ◽  
Vol 112 (3) ◽  
pp. 1444-1448 ◽  
Author(s):  
Markus Junker ◽  
Markus Friesen ◽  
Hansgeorg Schnöckel

2015 ◽  
Author(s):  
Sanaa Afroz Ahmed ◽  
Chien-Chi Lo ◽  
Po-E Li ◽  
Karen W Davenport ◽  
Patrick S.G. Chain

Next-generation sequencing is increasingly being used to examine closely related organisms. However, while genome-wide single nucleotide polymorphisms (SNPs) provide an excellent resource for phylogenetic reconstruction, to date evolutionary analyses have been performed using different ad hoc methods that are not often widely applicable across different projects. To facilitate the construction of robust phylogenies, we have developed a method for genome-wide identification/characterization of SNPs from sequencing reads and genome assemblies. Our phylogenetic and molecular evolutionary (PhaME) analysis software is unique in its ability to take reads and draft/complete genome(s) as input, derive core genome alignments, identify SNPs, construct phylogenies and perform evolutionary analyses. Several examples using genomes and read datasets for bacterial, eukaryotic and viral linages demonstrate the broad and robust functionality of PhaME. Furthermore, the ability to incorporate raw metagenomic reads from clinical samples with suspected infectious agents shows promise for the rapid phylogenetic characterization of pathogens within complex samples.


Sign in / Sign up

Export Citation Format

Share Document