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Nick Goldman

Researcher at European Bioinformatics Institute

Publications -  148
Citations -  38015

Nick Goldman is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Genome & Phylogenetic tree. The author has an hindex of 58, co-authored 141 publications receiving 35347 citations. Previous affiliations of Nick Goldman include British Museum & University of Helsinki.

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Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston, +222 more
- 05 Dec 2002 - 
TL;DR: The results of an international collaboration to produce a high-quality draft sequence of the mouse genome are reported and an initial comparative analysis of the Mouse and human genomes is presented, describing some of the insights that can be gleaned from the two sequences.
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Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney, +320 more
- 14 Jun 2007 - 
TL;DR: Functional data from multiple, diverse experiments performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE Project are reported, providing convincing evidence that the genome is pervasively transcribed, such that the majority of its bases can be found in primary transcripts.
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A General Empirical Model of Protein Evolution Derived from Multiple Protein Families Using a Maximum-Likelihood Approach

TL;DR: The new model outperforms the Dayhoff and JTT models with respect to maximum-likelihood values for a large majority of the protein families in the authors' database and suggests that it provides a better overall fit to the evolutionary process in globular proteins and may lead to more accurate phylogenetic tree estimates.
Journal Article

Codon-substitution models for heterogeneous selection pressure at amino acid sites.

TL;DR: In this paper, the authors developed models that account for heterogeneous omega ratios among amino acid sites and applied them to phylogenetic analyses of protein-coding DNA sequences, which are useful for testing for adaptive molecular evolution and identifying amino acid points under diversifying selection.
Journal ArticleDOI

Codon-Substitution Models for Heterogeneous Selection Pressure at Amino Acid Sites

TL;DR: Development of models that account for heterogeneous omega ratios among amino acid sites and apply them to phylogenetic analyses of protein-coding DNA sequences are developed, useful for testing for adaptive molecular evolution and identifying amino Acid sites under diversifying selection.