M
Manolis Kellis
Researcher at Massachusetts Institute of Technology
Publications - 448
Citations - 132627
Manolis Kellis is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 128, co-authored 405 publications receiving 112181 citations. Previous affiliations of Manolis Kellis include Broad Institute & Epigenomics AG.
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Journal ArticleDOI
Elucidation of Codon Usage Signatures across the Domains of Life
Eva Maria Novoa,Irwin Jungreis,Irwin Jungreis,Olivier Jaillon,Olivier Jaillon,Olivier Jaillon,Manolis Kellis,Manolis Kellis +7 more
TL;DR: It is shown that a single amino acid, arginine, is the major contributor to codon usage bias differences across domains of life and that domain-specific codon bias signatures can be used to classify a given sequence into its corresponding domain of life with high accuracy.
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Evolution at the Subgene Level: Domain Rearrangements in the Drosophila Phylogeny
TL;DR: It is found that genes involved in fusion and fission are enriched in signaling and development, suggesting that domain rearrangements and reuse may be crucial in these processes.
Journal ArticleDOI
Evolutionary Dynamics of Abundant Stop Codon Readthrough
Irwin Jungreis,Irwin Jungreis,Clara S. Chan,Clara S. Chan,Robert M. Waterhouse,Gabriel Fields,Michael F. Lin,Manolis Kellis,Manolis Kellis +8 more
TL;DR: In this paper, comparative genomic evidence across 21 Anopheles mosquitoes and 20 Drosophila species was used to identify evolutionary signatures of conserved, functional readthrough of 353 stop codons.
Journal ArticleDOI
Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci.
Jonathan M. Mudge,Irwin Jungreis,Toby Hunt,Jose Manuel Gonzalez,James C. Wright,M. Kay,Claire Davidson,Stephen Fitzgerald,Ruth L. Seal,Ruth L. Seal,Susan Tweedie,Liang He,Liang He,Robert M. Waterhouse,Yue Li,Yue Li,Elspeth A. Bruford,Elspeth A. Bruford,Jyoti S. Choudhary,Adam Frankish,Manolis Kellis,Manolis Kellis +21 more
TL;DR: The first whole-genome PhyloCSF prediction tracks for human, mouse, chicken, fly, worm, and mosquito are presented, and a workflow that uses machine-learning to predict novel conserved protein-coding regions and efficiently guide their manual curation is developed.
Improved gene tree error correction in the presence of horizontal gene transfer
TL;DR: In this article, a statistical hypothesis testing framework (Shimodaira-Hasegawa test) was proposed to balance sequence likelihood with topological information from a known species tree.