2022 - Research.com Best Female Scientist Award
2022 - Research.com Best Scientist Award
2022 - Research.com Genetics and Molecular Biology in United States Leader Award
2020 - Member of the National Academy of Medicine (NAM)
2020 - Keio Medical Science Prize, Keio University, Tokyo, Japan
2020 - Lurie Prize in Biomedical Sciences, Foundation for the National Institutes of Health
2019 - Member of the National Academy of Sciences
2017 - Paul Marks Prize for Cancer Research, Memorial Sloan Kettering Cancer Center
2008 - Fellow of Alfred P. Sloan Foundation
2008 - National Institutes of Health Director's Pioneer Award
Aviv Regev mainly focuses on Genetics, Computational biology, Single-cell analysis, Gene and Gene expression profiling. Her study in the fields of Systems biology under the domain of Computational biology overlaps with other disciplines such as N6-Methyladenosine. Aviv Regev has researched Single-cell analysis in several fields, including Tumor microenvironment, Transcriptome, Cell type and Cell biology.
Her work deals with themes such as ORFS and Function, which intersect with Gene. The Gene expression profiling study combines topics in areas such as Phenotype, Regulation of gene expression, RNA-Seq and Epigenetics. Aviv Regev combines subjects such as Cancer research and In situ hybridization with her study of Cell.
Aviv Regev mostly deals with Computational biology, Cell, Cell biology, Genetics and Cancer research. Her research investigates the link between Computational biology and topics such as Cell type that cross with problems in Neuroscience. Her study in Cell is interdisciplinary in nature, drawing from both RNA, RNA-Seq, Glioma and Tumor microenvironment.
Her Cell biology study combines topics in areas such as T cell, Transcription factor and Cellular differentiation. Genetics is a component of her Gene expression profiling, Genome, Regulation of gene expression, Single-cell analysis and Gene duplication studies. Her Cancer research research includes themes of Cancer cell, Cancer, CD8, Immune system and Cytotoxic T cell.
Cell, Transcriptome, Computational biology, Immune system and Cancer research are her primary areas of study. The various areas that Aviv Regev examines in her Cell study include Gene expression, Cancer cell, Genome and Stem cell, Cell biology. Her studies in Cell biology integrate themes in fields like T cell, Transcription factor and Innate lymphoid cell.
Aviv Regev has included themes like RNA, Regulation of gene expression and Gene regulatory network in her Transcriptome study. She interconnects Chromatin, Epigenomics, DNA methylation and Cell type in the investigation of issues within Computational biology. In her research on the topic of Cancer research, Immune checkpoint is strongly related with Cytotoxic T cell.
Her main research concerns Transcriptome, Computational biology, Cell, Cell biology and Cell type. Gene covers Aviv Regev research in Transcriptome. Her studies deal with areas such as Chromatin, Epigenomics and RNA as well as Computational biology.
Her Cell research is multidisciplinary, relying on both Cancer, Immunotherapy, Gene expression, Gene regulatory network and Cytotoxic T cell. Her Cell biology research incorporates themes from Innate lymphoid cell, Cell fate determination and Epigenome. Her Cancer research research is multidisciplinary, incorporating elements of Mesenchymal stem cell, Synovial sarcoma and Single-cell analysis.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Full-length transcriptome assembly from RNA-Seq data without a reference genome.
Manfred G Grabherr;Brian J Haas;Moran Yassour;Moran Yassour;Joshua Z Levin.
Nature Biotechnology (2011)
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis
Brian J Haas;Alexie Papanicolaou;Moran Yassour;Moran Yassour;Manfred Grabherr.
Nature Protocols (2013)
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Mitchell Guttman;Ido Amit;Manuel Garber;Courtney French.
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets
Evan Z. Macosko;Evan Z. Macosko;Anindita Basu;Anindita Basu;Rahul Satija;Rahul Satija;James Nemesh;James Nemesh.
Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression
Ahmad M. Khalil;Mitchell Guttman;Maite Huarte;Manuel Garber.
Proceedings of the National Academy of Sciences of the United States of America (2009)
Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses
Moran N. Cabili;Cole Trapnell;Cole Trapnell;Loyal Goff;Magdalena J. Koziol;Magdalena J. Koziol.
Genes & Development (2011)
An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors
Ittai Ben-Porath;Matthew W Thomson;Vincent J Carey;Ruping Ge.
Nature Genetics (2008)
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Anoop Premswaroop Patel;I. Tirosh;J. J. Trombetta;Alexander Kann Shalek.
Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system.
Bernd Zetsche;Jonathan S. Gootenberg;Omar O. Abudayyeh;Ian M. Slaymaker.
Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data
Eran Segal;Michael Shapira;Aviv Regev;Aviv Regev;Dana Pe'er.
Nature Genetics (2003)
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