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Aviv Regev
Researcher at Broad Institute
Publications - 735
Citations - 179024
Aviv Regev is an academic researcher from Broad Institute. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 163, co-authored 640 publications receiving 133857 citations. Previous affiliations of Aviv Regev include Tel Aviv University & Howard Hughes Medical Institute.
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Journal ArticleDOI
Full-length transcriptome assembly from RNA-Seq data without a reference genome.
Manfred Grabherr,Brian J. Haas,Moran Yassour,Moran Yassour,Joshua Z. Levin,Dawn Thompson,Ido Amit,Xian Adiconis,Lin Fan,Raktima Raychowdhury,Qiandong Zeng,Zehua Chen,Evan Mauceli,Nir Hacohen,Andreas Gnirke,Nicholas Rhind,Federica Di Palma,Bruce W. Birren,Chad Nusbaum,Kerstin Lindblad-Toh,Kerstin Lindblad-Toh,Nir Friedman,Aviv Regev +22 more
TL;DR: The Trinity method for de novo assembly of full-length transcripts and evaluate it on samples from fission yeast, mouse and whitefly, whose reference genome is not yet available, providing a unified solution for transcriptome reconstruction in any sample.
Journal ArticleDOI
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,Philip D. Blood,Joshua C. Bowden,M. B. Couger,David Eccles,Bo Li,Matthias Lieber,Matthew D. MacManes,Michael Ott,Joshua Orvis,Nathalie Pochet,Nathalie Pochet,Francesco Strozzi,Nathan T. Weeks,Rick Westerman,Thomas William,Colin N. Dewey,Robert Henschel,Richard D. LeDuc,Nir Friedman,Aviv Regev +24 more
TL;DR: This protocol provides a workflow for genome-independent transcriptome analysis leveraging the Trinity platform and presents Trinity-supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages for identifying differentially expressed transcripts across samples and approaches to identify protein-coding genes.
Journal ArticleDOI
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,Karthik Shekhar,Melissa Goldman,Melissa Goldman,Itay Tirosh,Allison R. Bialas,Nolan Kamitaki,Nolan Kamitaki,Emily M. Martersteck,John J. Trombetta,David A. Weitz,Joshua R. Sanes,Alex K. Shalek,Alex K. Shalek,Alex K. Shalek,Aviv Regev,Aviv Regev,Aviv Regev,Steven A. McCarroll,Steven A. McCarroll +26 more
TL;DR: Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together.
Journal ArticleDOI
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Mitchell Guttman,Ido Amit,Manuel Garber,Courtney French,Michael F. Lin,David M. Feldser,Maite Huarte,Maite Huarte,Or Zuk,Bryce W. Carey,John P. Cassady,Moran N. Cabili,Rudolf Jaenisch,Tarjei S. Mikkelsen,Tyler Jacks,Nir Hacohen,Bradley E. Bernstein,Bradley E. Bernstein,Manolis Kellis,Manolis Kellis,Aviv Regev,John L. Rinn,John L. Rinn,John L. Rinn,Eric S. Lander +24 more
TL;DR: It is demonstrated that specific lincRNAs are transcriptionally regulated by key transcription factors in these processes such as p53, NFκB, Sox2, Oct4 (also known as Pou5f1) and Nanog, defining a unique collection of functional linc RNAs that are highly conserved and implicated in diverse biological processes.
Journal ArticleDOI
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Anoop P. Patel,Itay Tirosh,John J. Trombetta,Alex K. Shalek,Shawn M. Gillespie,Hiroaki Wakimoto,Daniel P. Cahill,Brian V. Nahed,William T. Curry,Robert L. Martuza,David N. Louis,Orit Rozenblatt-Rosen,Mario L. Suvà,Mario L. Suvà,Aviv Regev,Aviv Regev,Aviv Regev,Bradley E. Bernstein,Bradley E. Bernstein,Bradley E. Bernstein +19 more
TL;DR: The genome sequence of single cells isolated from brain glioblastomas was examined, which revealed shared chromosomal changes but also extensive transcription variation, including genes related to signaling, which represent potential therapeutic targets.