arrow
返回

A reference guide for tree analysis and visualization

delete2010-02-22
delete64
delete
OA
AI
G
Georgios A. Pavlopoulos
T
Theodoros Soldatos
A
Adriano Barbosa-Silva
R
Reinhard Schneider *
DOI:10.1186/1756-0381-3-1delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The quantities of data obtained by the new high-throughput technologies, such as microarrays or ChIP-Chip arrays, and the large-scale OMICS-approaches, such as genomics, proteomics and transcriptomics, are becoming vast. Sequencing technologies become cheaper and easier to use and, thus, large-scale evolutionary studies towards the origins of life for all species and their evolution becomes more and more challenging. Databases holding information about how data are related and how they are hierarchically organized expand rapidly. Clustering analysis is becoming more and more difficult to be applied on very large amounts of data since the results of these algorithms cannot be efficiently visualized. Most of the available visualization tools that are able to represent such hierarchies, project data in 2D and are lacking often the necessary user friendliness and interactivity. For example, the current phylogenetic tree visualization tools are not able to display easy to understand large scale trees with more than a few thousand nodes. In this study, we review tools that are currently available for the visualization of biological trees and analysis, mainly developed during the last decade. We describe the uniform and standard computer readable formats to represent tree hierarchies and we comment on the functionality and the limitations of these tools. We also discuss on how these tools can be developed further and should become integrated with various data sources. Here we focus on freely available software that offers to the users various tree-representation methodologies for biological data analysis.
Keyword:
EVOLUTIONARY GENETICS ANALYSIS
MULTIPLE SEQUENCE ALIGNMENT
PHYLOGENETIC INFERENCE
THEORETICAL FOUNDATION
INTERACTIVE TREE
TOOL
SYSTEM
SPACE
ANNOTATION
FRAMEWORK
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

BioData Mining 封面图
BioData Mining
IF:
6.1
论文数:
700
被引数:
1.5K

机构

H
Helmholtz Association
学者数:
13.2W
论文数: 10.7W
被引数: 145
E
european molecular biology laboratory (embl)
学者数:
8.3K
论文数: 5.1K
被引数: 31
引用论文

引用论文

Optical Force Sensing In Minimally Invasive Robotic Surgery
err2019-05-01
err0
PREAI
errAmir Hossein Hadi Hosseinabadi; Mohammad Honarvar; Septimiu E. Salcudean
err分享
err收藏
Single cluster PHD SLAM: Application to autonomous underwater vehicles using stereo vision
err2013-06-01
err0
errOAAI
errSharad Nagappa; Narcis Palomeras; Chee Sing Lee; Nuno Gracias; Daniel E. Clark; Joaquim Salvi
err分享
err收藏
The da Vinci Surgical System
err2010-11-04
err0
PREAI
errSimon DiMaio; Mike Hanuschik; Usha Kreaden
err分享
err收藏
Gene Ontology: tool for the unification of biology基因本体论: 统一生物学的工具
err2000-05-01
err3.4W
errOAAI
errAshburner, M; Ball, CA; Blake, JA; Botstein, D; Butler, H; Cherry, JM; Davis, AP; Dolinski, K; Dwight, SS; Eppig, JT; Harris, MA; Hill, DP; Issel-Tarver, L; Kasarskis, A; Lewis, S; Matese, JC; Richardson, JE; Ringwald, M; Rubin, GM; Sherlock, G
err分享
err收藏
Polymerase Chain Reaction to Detect Hepatitis B Virus DNA and RNA Sequences in Primary Liver Cancers from Patients Negative for Hepatitis B Surface Antigen
err1990-07-12
err0
errOAAI
errP. Paterlini; G. Gerken; E. Nakajima; S. Terre; A. D'Errico; W. Grigioni; B. Nalpas; D. Franco; J. Wands; M. Kew; E. Pisi; P. Tiollais; C. Bréchot
err分享
err收藏
err分享
err收藏
学者 查看更多内容