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Matthew D. Rasmussen

Researcher at Massachusetts Institute of Technology

Publications -  29
Citations -  8421

Matthew D. Rasmussen is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 19, co-authored 29 publications receiving 7606 citations. Previous affiliations of Matthew D. Rasmussen include Vassar College & Cornell University.

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Evolution of genes and genomes on the Drosophila phylogeny.

Andrew G. Clark, +429 more
- 08 Nov 2007 - 
TL;DR: These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution.
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A comparative encyclopedia of DNA elements in the mouse genome

Feng Yue, +145 more
- 20 Nov 2014 - 
TL;DR: The mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types as mentioned in this paper.
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A high-resolution map of human evolutionary constraint using 29 mammals.

Kerstin Lindblad-Toh, +69 more
- 27 Oct 2011 - 
TL;DR: The comparison of related genomes has emerged as a powerful lens for genome interpretation and sequencing and comparative analysis of 29 eutherian genomes confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2%" of the genome.
Journal ArticleDOI

Evolution of pathogenicity and sexual reproduction in eight Candida genomes.

TL;DR: There are significant expansions of cell wall, secreted and transporter gene families in pathogenic species, suggesting adaptations associated with virulence in Candida albicans species.
Journal Article

A High-Resolution Map of Human Evolutionary Constraint Using 29 Mammals

TL;DR: The comparison of related genomes has emerged as a powerful lens for genome interpretation as mentioned in this paper, which reveals a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons.