Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Stephen J. Freeland

dblp:14/6170 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2006
0000-0003-4606-7617ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular evolution
genetic code evolution
0.012001
Genview and Gencode: a pair of programs to test theories of genetic code evolution · Bioinform. 2001

Methods — techniques the papers use, named apart from their topics

graphical user interface · 0.0configuration file generation · 0.0
YearPublicationVenuePosition
2006 An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices
abstract
BACKGROUND: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic procedures such as sequence alignment, homology searching, and protein structural prediction. Here we present a web-based, user-friendly analysis tool that allows any researcher to quickly and easily visualize relationships between these bioinformatic metrics and to explore their relationships to underlying indices of amino acid molecular descriptors. RESULTS: We demonstrate the three fundamental types of question that our software can address by taking as a specific example the connections between 49 measures of amino acid biophysical properties (e.g., size, charge and hydrophobicity), a generalized model of amino acid substitution (as represented by the PAM74-100 matrix), and the mutational distance that separates amino acids within the standard genetic code (i.e., the number of point mutations required for interconversion during protein evolution). We show that our software allows a user to recapture the insights from several key publications on these topics in just a few minutes. CONCLUSION: Our software facilitates rapid, interactive exploration of three interconnected topics: (i) the multidimensional molecular descriptors of the twenty proteinaceous amino acids, (ii) the correlation of these biophysical measurements with observed patterns of amino acid substitution, and (iii) the causal basis for differences between any two observed patterns of amino acid substitution. This software acts as an intuitive bioinformatic exploration tool that can guide more comprehensive statistical analyses relating to a diverse array of specific research questions.
Blazej Bulka, Marie desJardins, Stephen J. Freeland
BMC Bioinform.3
2001 Genview and Gencode: a pair of programs to test theories of genetic code evolution
abstract
Abstract Summary: Genview and Gencode are tools for testing the adaptive nature of a genetic code under different assumptions about patterns of genetic error and the nature of amino acid similarity. Genview provides a user friendly, point-and-click interface by which a user may reproduce and extend analysis of the adaptive properties of the standard genetic code or any of its secondary derivatives. Genview is a graphical user interface (GUI) program which runs on Linux, Unix®and Microsoft Windows®platforms and is based on the GTK\batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(+\) \end{document}toolkit. Genview outputs ASCII configuration files which are interpreted by Gencode to perform an analysis. Gencode is available for the same platforms as Genview. Availability: Online documentation can be found at http://rnaworld.princeton.edu/genview/documentation. The source code can be downloaded from http://rnaworld.princeton.edu/genview/ Contact: [email protected] * To whom correspondence should be addressed.
T. Andrew Ronneberg, Stephen J. Freeland, Laura F. Landweber
Bioinform.2