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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Multi-resolution single-cell state characterization via joint archetypal/network analysis
Shahin Mohammadi,Shahin Mohammadi,Jose Davila-Velderrain,Jose Davila-Velderrain,Manolis Kellis,Manolis Kellis +5 more
TL;DR: ACTIONet is introduced, a comprehensive framework that combines archetypal analysis and network theory to provide a ready-to-use analytical approach for multiresolution single-cell state characterization.
Posted ContentDOI
Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissection
Carles Boix Adsera,Carles Boix Adsera,Yongjin Park,Yongjin Park,Wouter Meuleman,Manolis Kellis,Manolis Kellis +6 more
TL;DR: The results demonstrate the importance of dense, rich, and high-resolution epigenomic annotations for complex trait dissection, and yield numerous new insights for understanding the molecular basis of human disease.
Posted ContentDOI
Single-cell deconvolution of 3,000 post-mortem brain samples for eQTL and GWAS dissection in mental disorders
Yongjin Park,Yongjin Park,Yongjin Park,Liang He,Liang He,Liang He,Jose Davila-Velderrain,Jose Davila-Velderrain,Lei Hou,Lei Hou,Shahin Mohammadi,Shahin Mohammadi,Hansruedi Mathys,Hansruedi Mathys,Zhuyu Peng,Zhuyu Peng,David A. Bennett,Li-Huei Tsai,Li-Huei Tsai,Manolis Kellis,Manolis Kellis +20 more
TL;DR: The SPLITR framework as mentioned in this paper integrates single-nucleus and bulk RNA-seq data, enabling phenotype-aware deconvolution and correcting for systematic discrepancies between bulk and single-cell data.
Journal ArticleDOI
SwiSpot: modeling riboswitches by spotting out switching sequences.
Marco Barsacchi,Eva Maria Novoa,Eva Maria Novoa,Manolis Kellis,Manolis Kellis,Alessio Bechini +5 more
TL;DR: The proposed SwiSpot approach is capable of identifying the switching sequence inside a putative, complete riboswitch sequence, on the basis of pairing behaviors, which are evaluated on proper sets of configurations and is able to model the switching behavior of riboswitches whose generated ensemble covers both alternate configurations.
Journal ArticleDOI
Few SINEs of life: Alu elements have little evidence for biological relevance despite elevated translation.
Laura Martinez-Gomez,Federico Abascal,Irwin Jungreis,Fernando Pozo,Manolis Kellis,Jonathan M. Mudge,Michael L. Tress +6 more
TL;DR: Overall, the results confirm that SINE Alu elements have contributed to the expansion of the human proteome, and this contribution appears to be stronger than might be expected over such a relatively short evolutionary timeframe.