scholarly journals Phylostat: A Web-based Tool to Analyze Paralogous Clade Divergence in Phylogenetic Trees

2021 ◽  
Keyword(s):  
Phylogenetic Trees ◽  
Web Based

scholarly journals Visual Comparison of Phylogenetic Trees Through iPhyloC, a New Interactive Web-based Framework

2021 ◽  
Author(s):  
Muhsen Hammoud ◽  
Charles Morphy Santos ◽  
Joao Paulo Gois
Keyword(s):  
Phylogenetic Trees ◽  
Binary Trees ◽  
Automatic Identification ◽  
Structural Comparison ◽  
Web Based ◽  
Visual Comparison ◽  
Large Trees ◽  
Cross Platform ◽  
The Common ◽  
Intuitive Design

Current side-by-side phylogenetic trees comparison frameworks face two issues: (1) accepting binary trees as input, and (2) assuming input trees having identical or highly overlapping taxa. We present a task abstraction of the problem of side-by-side comparison of two phylogenetic trees and propose a set-based measure for detailed structural comparison between two phylogenetic trees, which can be non-binary and not highly overlapping. iPhyloC is an interactive web-based framework including automatic identification of the common taxa in both trees, comparing input trees in several modes, intuitive design, high usability, scalability to large trees, and cross-platform support. iPhyloC was tested in hypothetical and real biological examples.

scholarly journals ClonArch: Visualizing the Spatial Clonal Architecture of Tumors

2020 ◽  
Author(s):  
Jiaqi Wu ◽  
Mohammed El-Kebir
Keyword(s):  
Visual Analytics ◽  
Phylogenetic Trees ◽  
Cancer Genomics ◽  
Clonal Evolution ◽  
Response To Treatment ◽  
Intratumor Heterogeneity ◽  
Tumor Evolution ◽  
Web Based ◽  
Clonal Architecture ◽  
Spatial Coordinates

AbstractMotivationCancer is caused by the accumulation of somatic mutations that lead to the formation of distinct populations of cells, called clones. The resulting clonal architecture is the main cause of relapse and resistance to treatment. With decreasing costs in DNA sequencing technology, rich cancer genomics datasets with many spatial sequencing samples are becoming increasingly available, enabling the inference of high-resolution tumor clones and prevalences across different spatial coordinates. While temporal and phylogenetic aspects of tumor evolution, such as clonal evolution over time and clonal response to treatment, are commonly visualized in various clonal evolution diagrams, visual analytics methods that reveal the spatial clonal architecture are missing.ResultsThis paper introduces ClonArch, a web-based tool to interactively visualize the phylogenetic tree and spatial distribution of clones in a single tumor mass. ClonArch uses the marching squares algorithm to draw closed boundaries representing the presence of clones in a real or simulated tumor. ClonArch enables researchers to examine the spatial clonal architecture of a subset of relevant mutations at different prevalence thresholds and across multiple phylogenetic trees. In addition to simulated tumors with varying number of biopsies, we demonstrate the use of ClonArch on a hepatocellular carcinoma tumor with ~280 sequencing biopsies. ClonArch provides an automated way to interactively examine the spatial clonal architecture of a tumor, facilitating clinical and biological interpretations of the spatial aspects of intratumor heterogeneity.Availabilityhttps://github.com/elkebir-group/ClonArch

scholarly journals Pharmosome: an integrative and collective database for exploration and analysis of single nucleotide polymorphisms associated with disease

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 14 ◽  
Author(s):  
Peter T. Habib ◽  
Alsamman M. Alsamman ◽  
Sameh E. Hassanein ◽  
Kerolos M. Yousef ◽  
Aladdin Hamwieh
Keyword(s):  
Phylogenetic Trees ◽  
Drug Response ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Web Based ◽  
Consensus Sequences ◽  
Python Programming ◽  
User Friendly ◽  
To Receive

Current single nucleotide polymorphism (SNP) databases are limited to a narrow set of SNPs, which has led to a lack of interactivity between different databases, limited tools to analyze and manipulate the already existing data, and complexity in the graphical user interface. Here we introduce Pharmosome, a web-based, user-friendly and collective database for more than 30,000 human disease-related SNPs, with dynamic pipelines to explore SNPs associated with disease development, drug response and the pathways shared between different genes related to these SNPs. Pharmosome implements several tools to design primers to detect SNPs in large genomes and facilitates analysis of different SNPs to determine relationships between them by aligning sequences, constructing phylogenetic trees, and providing consensus sequences illustrating the connections between SNPs. Pharmosome was written in the Python programming language using the Django web framework in combination with HTML, CSS, and JavaScript to receive user inputs, and process and export the sorted result to the interface. Pharmosome is available from: https://pharmosome.herokuapp.com/.

scholarly journals ConCysFind: a pipeline tool to predict conserved amino acids of protein sequences across the plant kingdom

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Marten Moore ◽  
Corinna Wesemann ◽  
Nikolaj Gossmann ◽  
Arne Sahm ◽  
Jan Krüger ◽  
...  
Keyword(s):  
Phylogenetic Trees ◽  
Translation Elongation ◽  
Web Based ◽  
Post Translational Modifications ◽  
Plant Kingdom ◽  
Multiple Alignments ◽  
Biochemical Assays ◽  
Evolutionarily Conserved ◽  
Redox Sensitivity ◽  
Conserved Amino Acids

Abstract Background Post-translational modifications (PTM) of amino acid (AA) side chains in peptides control protein structure and functionality. PTMs depend on the specific AA characteristics. The reactivity of cysteine thiol-based PTMs are unique among all proteinaceous AA. This pipeline aims to ease the identification of conserved AA of polypeptides or protein families based on the phylogenetic occurrence in the plant kingdom. The tool is customizable to include any species. The degree of AA conservation is taken as indicator for structural and functional significance, especially for PTM-based regulation. Further, this pipeline tool gives insight into the evolution of these potentially regulatory important peptides. Results The web-based or stand-alone pipeline tool Conserved Cysteine Finder (ConCysFind) was developed to identify conserved AA such as cysteine, tryptophan, serine, threonine, tyrosin and methionine. ConCysFind evaluates multiple alignments considering the proteome of 21 plant species. This exemplar study focused on Cys as evolutionarily conserved target for multiple redox PTM. Phylogenetic trees and tables with the compressed results of the scoring algorithm are generated for each Cys in the query polypeptide. Analysis of 33 translation elongation and release factors alongside of known redox proteins from Arabidopsis thaliana for conserved Cys residues confirmed the suitability of the tool for identifying conserved and functional PTM sites. Exemplarily, the redox sensitivity of cysteines in the eukaryotic release factor 1-1 (eRF1-1) was experimentally validated. Conclusion ConCysFind is a valuable tool for prediction of new potential protein PTM targets in a broad spectrum of species, based on conserved AA throughout the plant kingdom. The identified targets were successfully verified through protein biochemical assays. The pipeline is universally applicable to other phylogenetic branches by customization of the database.

scholarly journals Interactive web-based visualization of phylogenetic trees using Phylogeny.IO

2016 ◽  
Author(s):  
Nikola Jovanovic ◽  
Alexander S Mikheyev
Keyword(s):  
Open Source ◽  
Phylogenetic Trees ◽  
Data Driven ◽  
Data Sets ◽  
Complex Data ◽  
Web Page ◽  
Web Based ◽  
Interactive Display ◽  
Complex Data Sets

Traditional static publication formats make visualization, exploration and sharing of massive phylogenetic trees difficult. Web-based technologies, such as the Data Driven Document (D3) JavaScript library, exist to overcome such challenges by allowing interactive display of complex data sets. We here we an open-source web-based application that applies the power of D3 to the visualization of phylogenetic trees. Phylogeny.IO (http://phyloeny.io) displays trees together with a range of static (e.g., such as shapes and colors) and dynamic (e.g., pop-up text and images) annotations. Annotated trees can be shared as IFrame HTML objects easily embeddable in any web page.

scholarly journals A web-based platform of nucleotide sequence alignments of plants

2019 ◽  
Author(s):  
Chiara Santos ◽  
João Carneiro ◽  
Filipe Pereira
Keyword(s):  
Nucleotide Sequence ◽  
Phylogenetic Trees ◽  
Nucleotide Sequences ◽  
Sequence Alignments ◽  
Web Based ◽  
Wide Range ◽  
On Line ◽  
Plant Families ◽  
Taxonomic Groups ◽  
Genomic Regions

AbstractIn recent years, a large number of nucleotide sequences have become available for plant species by the advent of massive parallel sequencing. The use of genomic data has been important for agriculture, food science, medicine or ecology. Despite the increasing amount of data, nucleotide sequences are usually available in public databases as isolated records with some descriptive information. Researchers interested in studying a wide range of specific plant families are forced to do multiple searches, sequence downloads, data curation and sequence alignments. In order to help researches overcoming these problems, we have built a comprehensive on-line resource of curated nucleotide sequence alignments for plant research, named PlantAligDB (available athttp://plantaligdb.portugene.com). The latest release incorporates 514 alignments with a total of 66,052 sequences from six important genomic regions:atpF-atpH,psbA-trnH,trnL,rbcL,matK and ITS. The alignments represent 223 plant families from a variety of taxonomic groups. The users can quickly search the database, download and visualize the curated alignments and phylogenetic trees using dynamic browser-based applications. Different measures of genetic diversity are also available for each plant family. We also provide the workflow script that allows the user to do the curation process, explaining the steps involved. Overall, the PlantAligDB provides a complete, quality checked and regularly updated collection of alignments that can be used in taxonomic, DNA barcoding, molecular genetics, phylogenetic and evolutionary studies.

scholarly journals AQUAPONY: visualization and interpretation of phylogeographic information on phylogenetic trees

2019 ◽  
Vol 35 (17) ◽  
pp. 3163-3165 ◽  
Author(s):  
Bastien Cazaux ◽  
Guillaume Castel ◽  
Eric Rivals
Keyword(s):  
Infectious Disease ◽  
Phylogenetic Trees ◽  
User Interaction ◽  
Molecular Data ◽  
Evolutionary Trees ◽  
Web Based ◽  
Disease Research ◽  
Infectious Disease Research ◽  
Large Trees ◽  
Objective Interpretation

Abstract Motivation The visualization and interpretation of evolutionary spatiotemporal scenarios is broadly and increasingly used in infectious disease research, ecology or agronomy. Using probabilistic frameworks, well-known tools can infer from molecular data ancestral traits for internal nodes in a phylogeny, and numerous phylogenetic rendering tools can display such evolutionary trees. However, visualizing such ancestral information and its uncertainty on the tree remains tedious. For instance, ancestral nodes can be associated to several geographical annotations with close probabilities and thus, several migration or transmission scenarios exist. Results We expose a web-based tool, named AQUAPONY, that facilitates such operations. Given an evolutionary tree with ancestral (e.g. geographical) annotations, the user can easily control the display of ancestral information on the entire tree or a subtree, and can view alternative phylogeographic scenarios along a branch according to a chosen uncertainty threshold. AQUAPONY interactively visualizes the tree and eases the objective interpretation of evolutionary scenarios. AQUAPONY’s implementation makes it highly responsive to user interaction, and instantaneously updates the tree visualizations even for large trees (which can be exported as image files). Availability and implementation AQUAPONY is coded in JavaScript/HTML, available under Cecill license, and can be freely used at http://www.atgc-montpellier.fr/aquapony/.

scholarly journals Interactive web-based visualization and sharing of phylogenetic trees using phylogeny.IO

2019 ◽  
Vol 47 (W1) ◽  
pp. W266-W269 ◽  
Author(s):  
Nikola Jovanovic ◽  
Alexander S Mikheyev
Keyword(s):  
Phylogenetic Trees ◽  
Phylogenetic Study ◽  
Specific Information ◽  
Data Sets ◽  
Complex Data ◽  
Web Based ◽  
As Species ◽  
Complex Data Sets ◽  
Data Layers ◽  
Species Specific

Abstract Traditional static publication formats make visualization, exploration, and sharing of massive phylogenetic trees difficult. A phylogenetic study often involves hundreds of taxa, and the resulting tree has to be split across multiple journal pages, or be shrunk onto one, which jeopardizes legibility. Furthermore, additional data layers, such as species-specific information or time calibrations are often displayed in separate figures, making the entire picture difficult for readers to grasp. Web-based technologies, such as the Data Driven Document (D3) JavaScript library, were created to overcome such challenges by allowing interactive displays of complex data sets. The new phylogeny.IO web server (https://phylogeny.io) overcomes this issue by allowing users to easily import, annotate, and share interactive phylogenetic trees. It allows a range of static (e.g. such as shapes and colors) and dynamic (e.g. pop-up text and images) annotations. Annotated trees can be saved on the server for subsequent modification or they may be shared as IFrame HTML objects, easily embeddable in any web page. The principal goal of phylogeny.IO is not to produce publication-ready figures, but rather to provide a simple and intuitive annotation interface that allows easy and rapid sharing of figures in blogs, lecture notes, press releases, etc.

DoubleRecViz: a web-based tool for visualizing transcript–gene–species tree reconciliation

2020 ◽  
Author(s):  
Esaie Kuitche ◽  
Yanchun Qi ◽  
Nadia Tahiri ◽  
Jack Parmer ◽  
Aïda Ouangraoua
Keyword(s):  
Phylogenetic Tree ◽  
Phylogenetic Trees ◽  
Source Code ◽  
Species Tree ◽  
Supplementary Information ◽  
Dynamic Visualization ◽  
Supplementary Data ◽  
Web Based ◽  
Tree Reconciliation ◽  
Transcript Gene

Abstract Motivation A phylogenetic tree reconciliation is a mapping of one phylogenetic tree onto another which represents the co-evolution of two sets of taxa (e.g. parasite–host co-evolution, gene–species co-evolution). The reconciliation framework was extended to allow modeling the co-evolution of three sets of taxa such as transcript–gene–species co-evolutions. Several web-based tools have been developed for the display and manipulation of phylogenetic trees and co-phylogenetic trees involving two trees, but there currently exists no tool for visualizing the joint reconciliation between three phylogenetic trees. Results Here, we present DoubleRecViz, a web-based tool for visualizing double reconciliations between phylogenetic trees at three levels: transcript, gene and species. DoubleRecViz extends the RecPhyloXML model—developed for gene–species tree reconciliation—to represent joint transcript–gene and gene–species tree reconciliations. It is implemented using the Dash library, which is a toolbox that provides dynamic visualization functionalities for web data visualization in Python. Availability and implementation DoubleRecViz is available through a web server at https://doublerecviz.cobius.usherbrooke.ca. The source code and information about installation procedures are also available at https://github.com/UdeS-CoBIUS/DoubleRecViz. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Interactive web-based visualization of phylogenetic trees using Phylogeny.IO

2016 ◽  
Author(s):  
Nikola Jovanovic ◽  
Alexander S Mikheyev
Keyword(s):  
Open Source ◽  
Phylogenetic Trees ◽  
Data Driven ◽  
Data Sets ◽  
Complex Data ◽  
Web Page ◽  
Web Based ◽  
Interactive Display ◽  
Complex Data Sets

Traditional static publication formats make visualization, exploration and sharing of massive phylogenetic trees difficult. Web-based technologies, such as the Data Driven Document (D3) JavaScript library, exist to overcome such challenges by allowing interactive display of complex data sets. We here we an open-source web-based application that applies the power of D3 to the visualization of phylogenetic trees. Phylogeny.IO (http://phyloeny.io) displays trees together with a range of static (e.g., such as shapes and colors) and dynamic (e.g., pop-up text and images) annotations. Annotated trees can be shared as IFrame HTML objects easily embeddable in any web page.

Sign in / Sign up

Export Citation Format

Share Document