S-plot2: Rapid Visual and Statistical Analysis of Genomic Sequences-Reference-Cited by-同舟云学术

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S-plot2: Rapid Visual and Statistical Analysis of Genomic Sequences

Published:2018-01 Issue: Volume:14 Page:117693431879735
ISSN:1176-9343
Container-title:Evolutionary Bioinformatics
language:en
Short-container-title:Evol Bioinform Online

Author:

Kalesinskas Laurynas¹²,Cudone Evan¹³,Fofanov Yuriy⁴,Putonti Catherine¹²⁵

Affiliation:

1. Bioinformatics Program, Loyola University Chicago, Chicago, IL, USA

2. Department of Biology, Loyola University Chicago, Chicago, IL, USA

3. Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA

4. Department of Pharmacology and Toxicology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA

5. Department of Computer Science, Loyola University Chicago, Chicago, IL, USA

Publisher

SAGE Publications

Subject

Computer Science Applications,Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://journals.sagepub.com/doi/pdf/10.1177/1176934318797354

Reference45 articles.

1. Synthesis of phylogeny and taxonomy into a comprehensive tree of life

2. Exploring microbial dark matter to resolve the deep archaeal ancestry of eukaryotes

3. A new view of the tree of life

4. Insights from 20 years of bacterial genome sequencing

5. GenAlyzer: interactive visualization of sequence similarities between entire genomes

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