A citation-based method for searching scientific literature

Jason D Buenrostro, Beijing Wu, Ulrike M Litzenburger, Dave Ruff, Michael L Gonzales, Michael P Snyder, Howard Y Chang, William J Greenleaf. Nature 2015
Times Cited: 757







List of co-cited articles
898 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.
Darren A Cusanovich, Riza Daza, Andrew Adey, Hannah A Pliner, Lena Christiansen, Kevin L Gunderson, Frank J Steemers, Cole Trapnell, Jay Shendure. Science 2015
453
37

Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.
Jason D Buenrostro, Paul G Giresi, Lisa C Zaba, Howard Y Chang, William J Greenleaf. Nat Methods 2013
30

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
Evan Z Macosko, Anindita Basu, Rahul Satija, James Nemesh, Karthik Shekhar, Melissa Goldman, Itay Tirosh, Allison R Bialas, Nolan Kamitaki, Emily M Martersteck,[...]. Cell 2015
28

Comprehensive Integration of Single-Cell Data.
Tim Stuart, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, Rahul Satija. Cell 2019
26

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.
Darren A Cusanovich, Andrew J Hill, Delasa Aghamirzaie, Riza M Daza, Hannah A Pliner, Joel B Berletch, Galina N Filippova, Xingfan Huang, Lena Christiansen, William S DeWitt,[...]. Cell 2018
195
21

chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data.
Alicia N Schep, Beijing Wu, Jason D Buenrostro, William J Greenleaf. Nat Methods 2017
211
20

Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion.
Ansuman T Satpathy, Jeffrey M Granja, Kathryn E Yost, Yanyan Qi, Francesca Meschi, Geoffrey P McDermott, Brett N Olsen, Maxwell R Mumbach, Sarah E Pierce, M Ryan Corces,[...]. Nat Biotechnol 2019
133
18

mRNA-Seq whole-transcriptome analysis of a single cell.
Fuchou Tang, Catalin Barbacioru, Yangzhou Wang, Ellen Nordman, Clarence Lee, Nanlan Xu, Xiaohui Wang, John Bodeau, Brian B Tuch, Asim Siddiqui,[...]. Nat Methods 2009
18

Joint profiling of chromatin accessibility and gene expression in thousands of single cells.
Junyue Cao, Darren A Cusanovich, Vijay Ramani, Delasa Aghamirzaie, Hannah A Pliner, Andrew J Hill, Riza M Daza, Jose L McFaline-Figueroa, Jonathan S Packer, Lena Christiansen,[...]. Science 2018
233
18

Simultaneous epitope and transcriptome measurement in single cells.
Marlon Stoeckius, Christoph Hafemeister, William Stephenson, Brian Houck-Loomis, Pratip K Chattopadhyay, Harold Swerdlow, Rahul Satija, Peter Smibert. Nat Methods 2017
650
18

Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state.
Assaf Rotem, Oren Ram, Noam Shoresh, Ralph A Sperling, Alon Goren, David A Weitz, Bradley E Bernstein. Nat Biotechnol 2015
409
17

CUT&Tag for efficient epigenomic profiling of small samples and single cells.
Hatice S Kaya-Okur, Steven J Wu, Christine A Codomo, Erica S Pledger, Terri D Bryson, Jorja G Henikoff, Kami Ahmad, Steven Henikoff. Nat Commun 2019
201
16

Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
Allon M Klein, Linas Mazutis, Ilke Akartuna, Naren Tallapragada, Adrian Veres, Victor Li, Leonid Peshkin, David A Weitz, Marc W Kirschner. Cell 2015
16

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
Cole Trapnell, Davide Cacchiarelli, Jonna Grimsby, Prapti Pokharel, Shuqiang Li, Michael Morse, Niall J Lennon, Kenneth J Livak, Tarjei S Mikkelsen, John L Rinn. Nat Biotechnol 2014
15

RNA velocity of single cells.
Gioele La Manno, Ruslan Soldatov, Amit Zeisel, Emelie Braun, Hannah Hochgerner, Viktor Petukhov, Katja Lidschreiber, Maria E Kastriti, Peter Lönnerberg, Alessandro Furlan,[...]. Nature 2018
632
15

scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells.
Stephen J Clark, Ricard Argelaguet, Chantriolnt-Andreas Kapourani, Thomas M Stubbs, Heather J Lee, Celia Alda-Catalinas, Felix Krueger, Guido Sanguinetti, Gavin Kelsey, John C Marioni,[...]. Nat Commun 2018
203
15

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko. Science 2019
384
14

Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility.
Caleb A Lareau, Fabiana M Duarte, Jennifer G Chew, Vinay K Kartha, Zach D Burkett, Andrew S Kohlway, Dmitry Pokholok, Martin J Aryee, Frank J Steemers, Ronald Lebofsky,[...]. Nat Biotechnol 2019
82
17

Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.
Sven Heinz, Christopher Benner, Nathanael Spann, Eric Bertolino, Yin C Lin, Peter Laslo, Jason X Cheng, Cornelis Murre, Harinder Singh, Christopher K Glass. Mol Cell 2010
13

Model-based analysis of ChIP-Seq (MACS).
Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li,[...]. Genome Biol 2008
13

Comprehensive mapping of long-range interactions reveals folding principles of the human genome.
Erez Lieberman-Aiden, Nynke L van Berkum, Louise Williams, Maxim Imakaev, Tobias Ragoczy, Agnes Telling, Ido Amit, Bryan R Lajoie, Peter J Sabo, Michael O Dorschner,[...]. Science 2009
13

Chromatin accessibility and the regulatory epigenome.
Sandy L Klemm, Zohar Shipony, William J Greenleaf. Nat Rev Genet 2019
285
13


Full-length RNA-seq from single cells using Smart-seq2.
Simone Picelli, Omid R Faridani, Asa K Björklund, Gösta Winberg, Sven Sagasser, Rickard Sandberg. Nat Protoc 2014
13

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
13



The accessible chromatin landscape of the human genome.
Robert E Thurman, Eric Rynes, Richard Humbert, Jeff Vierstra, Matthew T Maurano, Eric Haugen, Nathan C Sheffield, Andrew B Stergachis, Hao Wang, Benjamin Vernot,[...]. Nature 2012
12

Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.
Hannah A Pliner, Jonathan S Packer, José L McFaline-Figueroa, Darren A Cusanovich, Riza M Daza, Delasa Aghamirzaie, Sanjay Srivatsan, Xiaojie Qiu, Dana Jackson, Anna Minkina,[...]. Mol Cell 2018
122
11

The chromatin accessibility landscape of primary human cancers.
M Ryan Corces, Jeffrey M Granja, Shadi Shams, Bryan H Louie, Jose A Seoane, Wanding Zhou, Tiago C Silva, Clarice Groeneveld, Christopher K Wong, Seung Woo Cho,[...]. Science 2018
236
11

Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation.
Sebastian Preissl, Rongxin Fang, Hui Huang, Yuan Zhao, Ramya Raviram, David U Gorkin, Yanxiao Zhang, Brandon C Sos, Veena Afzal, Diane E Dickel,[...]. Nat Neurosci 2018
99
11

Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH.
Chee-Huat Linus Eng, Michael Lawson, Qian Zhu, Ruben Dries, Noushin Koulena, Yodai Takei, Jina Yun, Christopher Cronin, Christoph Karp, Guo-Cheng Yuan,[...]. Nature 2019
316
11

Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation.
Jason D Buenrostro, M Ryan Corces, Caleb A Lareau, Beijing Wu, Alicia N Schep, Martin J Aryee, Ravindra Majeti, Howard Y Chang, William J Greenleaf. Cell 2018
183
11

Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.
Takashi Nagano, Yaniv Lubling, Tim J Stevens, Stefan Schoenfelder, Eitan Yaffe, Wendy Dean, Ernest D Laue, Amos Tanay, Peter Fraser. Nature 2013
750
11

Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.
Sébastien A Smallwood, Heather J Lee, Christof Angermueller, Felix Krueger, Heba Saadeh, Julian Peat, Simon R Andrews, Oliver Stegle, Wolf Reik, Gavin Kelsey. Nat Methods 2014
497
11

Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.
Christof Angermueller, Stephen J Clark, Heather J Lee, Iain C Macaulay, Mabel J Teng, Tim Xiaoming Hu, Felix Krueger, Sebastien Smallwood, Chris P Ponting, Thierry Voet,[...]. Nat Methods 2016
308
11

Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex.
Chongyuan Luo, Christopher L Keown, Laurie Kurihara, Jingtian Zhou, Yupeng He, Junhao Li, Rosa Castanon, Jacinta Lucero, Joseph R Nery, Justin P Sandoval,[...]. Science 2017
179
11

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.
Patrik L Ståhl, Fredrik Salmén, Sanja Vickovic, Anna Lundmark, José Fernández Navarro, Jens Magnusson, Stefania Giacomello, Michaela Asp, Jakub O Westholm, Mikael Huss,[...]. Science 2016
544
11

Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples.
Wenfei Jin, Qingsong Tang, Mimi Wan, Kairong Cui, Yi Zhang, Gang Ren, Bing Ni, Jeffrey Sklar, Teresa M Przytycka, Richard Childs,[...]. Nature 2015
175
10

High-resolution mapping and characterization of open chromatin across the genome.
Alan P Boyle, Sean Davis, Hennady P Shulha, Paul Meltzer, Elliott H Margulies, Zhiping Weng, Terrence S Furey, Gregory E Crawford. Cell 2008
809
10

ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide.
Jason D Buenrostro, Beijing Wu, Howard Y Chang, William J Greenleaf. Curr Protoc Mol Biol 2015
992
10

Fast, sensitive and accurate integration of single-cell data with Harmony.
Ilya Korsunsky, Nghia Millard, Jean Fan, Kamil Slowikowski, Fan Zhang, Kevin Wei, Yuriy Baglaenko, Michael Brenner, Po-Ru Loh, Soumya Raychaudhuri. Nat Methods 2019
364
10

Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas.
Yu Hou, Huahu Guo, Chen Cao, Xianlong Li, Boqiang Hu, Ping Zhu, Xinglong Wu, Lu Wen, Fuchou Tang, Yanyi Huang,[...]. Cell Res 2016
251
10

cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.
Carmen Bravo González-Blas, Liesbeth Minnoye, Dafni Papasokrati, Sara Aibar, Gert Hulselmans, Valerie Christiaens, Kristofer Davie, Jasper Wouters, Stein Aerts. Nat Methods 2019
72
13

An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome.
Chenxu Zhu, Miao Yu, Hui Huang, Ivan Juric, Armen Abnousi, Rong Hu, Jacinta Lucero, M Margarita Behrens, Ming Hu, Bing Ren. Nat Struct Mol Biol 2019
48
18

An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues.
M Ryan Corces, Alexandro E Trevino, Emily G Hamilton, Peyton G Greenside, Nicholas A Sinnott-Armstrong, Sam Vesuna, Ansuman T Satpathy, Adam J Rubin, Kathleen S Montine, Beijing Wu,[...]. Nat Methods 2017
441
9

Comprehensive single-cell transcriptional profiling of a multicellular organism.
Junyue Cao, Jonathan S Packer, Vijay Ramani, Darren A Cusanovich, Chau Huynh, Riza Daza, Xiaojie Qiu, Choli Lee, Scott N Furlan, Frank J Steemers,[...]. Science 2017
432
9

Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
Atray Dixit, Oren Parnas, Biyu Li, Jenny Chen, Charles P Fulco, Livnat Jerby-Arnon, Nemanja D Marjanovic, Danielle Dionne, Tyler Burks, Raktima Raychowdhury,[...]. Cell 2016
433
9

Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.
Joshua D Welch, Velina Kozareva, Ashley Ferreira, Charles Vanderburg, Carly Martin, Evan Z Macosko. Cell 2019
195
9

Massively parallel digital transcriptional profiling of single cells.
Grace X Y Zheng, Jessica M Terry, Phillip Belgrader, Paul Ryvkin, Zachary W Bent, Ryan Wilson, Solongo B Ziraldo, Tobias D Wheeler, Geoff P McDermott, Junjie Zhu,[...]. Nat Commun 2017
9


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.