For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
Inviting an author to review:
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
24
views
32
references
 Top references
cited by
6
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      278
      similar
       All similar

      Publish your biodiversity research with us!

      Submit your article here.

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A new species of Micryletta Dubois, 1987 (Anura, Microhylidae) from Yunnan Province, China

      Author(s): , , ,
      Publication date Created:
      Publication date (Electronic):
      Journal: Herpetozoa
      Publisher: Pensoft Publishers

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          A new species of the genus Micryletta Dubois, 1987 is described from Yunnan Province, China, based on morphological and molecular analyses. The most obvious differences between the new species and other species of this genus are small body size, unique coloration, and relatively longer hind limbs. In 16S rRNA gene sequences, the new species is diverged from all other congeners by 3.1%–8.0%.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          Sudhir Kumar, Glen Stecher, Michael KaWah Li … (2018)
          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
          Article 0 comments Cited 9235 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Lam-Tung Nguyen, Heiko Schmidt, Arndt von Haeseler … (2014)
            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
            Article 0 comments Cited 6499 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

              Fredrik Ronquist, Maxim Teslenko, Paul van der Mark … (2012)
              Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
              Article 0 comments Cited 4385 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Title: Herpetozoa
                Abbreviated Title: Herpetozoa
                Publisher: Pensoft Publishers
                ISSN (Electronic): 2682-955X
                ISSN (Print): 1013-4425
                Publication date Created: July 23 2021
                Publication date (Electronic): July 23 2021
                Volume: 34
                Pages: 131-140
                Article
                DOI: 10.3897/herpetozoa.32.e69755
                SO-VID: 9bbf69cd-7d7f-4305-a587-52ab47043f77
                Copyright © © 2021
                License:

                http://creativecommons.org/licenses/by/4.0/

                History

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content278

                See all similar

                Cited by6

                See all cited by

                Most referenced authors951

                See all reference authors