J L Thorne
Overview
Explore the profile of J L Thorne including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
29
Citations
934
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Soteriou C, Kalli A, Connell S, Tyler A, Thorne J
Prog Lipid Res
. 2020 Dec;
81:101080.
PMID: 33359620
The lipid bilayer is a functional component of cells, forming a stable platform for the initiation of key biological processes, including cell signalling. There are distinct changes in the lipid...
2.
Kishino H, Thorne J, Bruno W
Mol Biol Evol
. 2001 Mar;
18(3):352-61.
PMID: 11230536
Rates of molecular evolution vary over time and, hence, among lineages. In contrast, widely used methods for estimating divergence times from molecular sequence data assume constancy of rates. Therefore, methods...
3.
Thorne J
Curr Opin Genet Dev
. 2000 Nov;
10(6):602-5.
PMID: 11088008
Homologous sequences are correlated due to their common ancestry. Probabilistic models of sequence evolution are employed routinely to properly account for these phylogenetic correlations. These increasingly realistic models provide a...
4.
Thorne J, Kishino H, Painter I
Mol Biol Evol
. 1998 Dec;
15(12):1647-57.
PMID: 9866200
A simple model for the evolution of the rate of molecular evolution is presented. With a Bayesian approach, this model can serve as the basis for estimating dates of important...
5.
Lio P, Goldman N, Thorne J, Jones3 D
Bioinformatics
. 1998 Oct;
14(8):726-33.
PMID: 9789098
Motivation: Evolutionary models of amino acid sequences can be adapted to incorporate structure information; protein structure biologists can use phylogenetic relationships among species to improve prediction accuracy. Results : A...
6.
Goldman N, Thorne J, Jones D
Genetics
. 1998 May;
149(1):445-58.
PMID: 9584116
Empirically derived models of amino acid replacement are employed to study the association between various physical features of proteins and evolution. The strengths of these associations are statistically evaluated by...
7.
Goldman N, Thorne J, Jones D
J Mol Biol
. 1996 Oct;
263(2):196-208.
PMID: 8913301
Previously proposed methods for protein secondary structure prediction from multiple sequence alignments do not efficiently extract the evolutionary information that these alignments contain. The predictions of these methods are less...
8.
Thorne J, Goldman N, Jones D
Mol Biol Evol
. 1996 May;
13(5):666-73.
PMID: 8676741
An evolutionary model that combines protein secondary structure and amino acid replacement is introduced. It allows likelihood analysis of aligned protein sequences and does not require the underlying secondary (or...
9.
Thorne J, Churchill G
Biometrics
. 1995 Mar;
51(1):100-13.
PMID: 7766767
The problem of estimating the relatedness of a pair of biological sequences is addressed. A stochastic model of sequence evolution is described that allows insertion and deletion as well as...
10.
Thorne J, Kishino H
Mol Biol Evol
. 1992 Nov;
9(6):1148-62.
PMID: 1435239
Widely used methods for phylogenetic inference, both those that require and those that produce alignments, share certain weaknesses. These weaknesses are discussed, and a method that lacks them is introduced....