A citation-based method for searching scientific literature

Davide Risso, John Ngai, Terence P Speed, Sandrine Dudoit. Nat Biotechnol 2014
Times Cited: 675







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



Times Cited
  Times     Co-cited
Similarity


Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
Michael I Love, Wolfgang Huber, Simon Anders. Genome Biol 2014
52

STAR: ultrafast universal RNA-seq aligner.
Alexander Dobin, Carrie A Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, Thomas R Gingeras. Bioinformatics 2013
36

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
Mark D Robinson, Davis J McCarthy, Gordon K Smyth. Bioinformatics 2010
31

Trimmomatic: a flexible trimmer for Illumina sequence data.
Anthony M Bolger, Marc Lohse, Bjoern Usadel. Bioinformatics 2014
27

limma powers differential expression analyses for RNA-sequencing and microarray studies.
Matthew E Ritchie, Belinda Phipson, Di Wu, Yifang Hu, Charity W Law, Wei Shi, Gordon K Smyth. Nucleic Acids Res 2015
21

HTSeq--a Python framework to work with high-throughput sequencing data.
Simon Anders, Paul Theodor Pyl, Wolfgang Huber. Bioinformatics 2015
20

Near-optimal probabilistic RNA-seq quantification.
Nicolas L Bray, Harold Pimentel, Páll Melsted, Lior Pachter. Nat Biotechnol 2016
16



Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
Aravind Subramanian, Pablo Tamayo, Vamsi K Mootha, Sayan Mukherjee, Benjamin L Ebert, Michael A Gillette, Amanda Paulovich, Scott L Pomeroy, Todd R Golub, Eric S Lander,[...]. Proc Natl Acad Sci U S A 2005
13

clusterProfiler: an R package for comparing biological themes among gene clusters.
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. OMICS 2012
12

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
12


Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
Laleh Haghverdi, Aaron T L Lun, Michael D Morgan, John C Marioni. Nat Biotechnol 2018
443
11

The Sequence Alignment/Map format and SAMtools.
Heng Li, Bob Handsaker, Alec Wysoker, Tim Fennell, Jue Ruan, Nils Homer, Gabor Marth, Goncalo Abecasis, Richard Durbin. Bioinformatics 2009
11

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Ben Langmead, Cole Trapnell, Mihai Pop, Steven L Salzberg. Genome Biol 2009
10

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments.
James H Bullard, Elizabeth Purdom, Kasper D Hansen, Sandrine Dudoit. BMC Bioinformatics 2010
933
10

Orchestrating high-throughput genomic analysis with Bioconductor.
Wolfgang Huber, Vincent J Carey, Robert Gentleman, Simon Anders, Marc Carlson, Benilton S Carvalho, Hector Corrada Bravo, Sean Davis, Laurent Gatto, Thomas Girke,[...]. Nat Methods 2015
10

Mapping and quantifying mammalian transcriptomes by RNA-Seq.
Ali Mortazavi, Brian A Williams, Kenneth McCue, Lorian Schaeffer, Barbara Wold. Nat Methods 2008
9

Differential expression analysis for sequence count data.
Simon Anders, Wolfgang Huber. Genome Biol 2010
8

GC-content normalization for RNA-Seq data.
Davide Risso, Katja Schwartz, Gavin Sherlock, Sandrine Dudoit. BMC Bioinformatics 2011
355
8

Adjusting batch effects in microarray expression data using empirical Bayes methods.
W Evan Johnson, Cheng Li, Ariel Rabinovic. Biostatistics 2007
8

voom: Precision weights unlock linear model analysis tools for RNA-seq read counts.
Charity W Law, Yunshun Chen, Wei Shi, Gordon K Smyth. Genome Biol 2014
8

WGCNA: an R package for weighted correlation network analysis.
Peter Langfelder, Steve Horvath. BMC Bioinformatics 2008
7

Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
7


SCnorm: robust normalization of single-cell RNA-seq data.
Rhonda Bacher, Li-Fang Chu, Ning Leng, Audrey P Gasch, James A Thomson, Ron M Stewart, Michael Newton, Christina Kendziorski. Nat Methods 2017
125
7

Fast gapped-read alignment with Bowtie 2.
Ben Langmead, Steven L Salzberg. Nat Methods 2012
7

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
7

Comparative Analysis of Single-Cell RNA Sequencing Methods.
Christoph Ziegenhain, Beate Vieth, Swati Parekh, Björn Reinius, Amy Guillaumet-Adkins, Martha Smets, Heinrich Leonhardt, Holger Heyn, Ines Hellmann, Wolfgang Enard. Mol Cell 2017
508
7

Gene ontology analysis for RNA-seq: accounting for selection bias.
Matthew D Young, Matthew J Wakefield, Gordon K Smyth, Alicia Oshlack. Genome Biol 2010
7

KEGG: kyoto encyclopedia of genes and genomes.
M Kanehisa, S Goto. Nucleic Acids Res 2000
7

Salmon provides fast and bias-aware quantification of transcript expression.
Rob Patro, Geet Duggal, Michael I Love, Rafael A Irizarry, Carl Kingsford. Nat Methods 2017
7

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.
Carly G K Ziegler, Samuel J Allon, Sarah K Nyquist, Ian M Mbano, Vincent N Miao, Constantine N Tzouanas, Yuming Cao, Ashraf S Yousif, Julia Bals, Blake M Hauser,[...]. Cell 2020
945
7

BBKNN: fast batch alignment of single cell transcriptomes.
Krzysztof Polański, Matthew D Young, Zhichao Miao, Kerstin B Meyer, Sarah A Teichmann, Jong-Eun Park. Bioinformatics 2020
99
6

A test metric for assessing single-cell RNA-seq batch correction.
Maren Büttner, Zhichao Miao, F Alexander Wolf, Sarah A Teichmann, Fabian J Theis. Nat Methods 2019
81
7

Pooling across cells to normalize single-cell RNA sequencing data with many zero counts.
Aaron T L Lun, Karsten Bach, John C Marioni. Genome Biol 2016
369
6

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
6

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
6

Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.
M Ashburner, C A Ball, J A Blake, D Botstein, H Butler, J M Cherry, A P Davis, K Dolinski, S S Dwight, J T Eppig,[...]. Nat Genet 2000
6

The Molecular Signatures Database (MSigDB) hallmark gene set collection.
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir, Mahmoud Ghandi, Jill P Mesirov, Pablo Tamayo. Cell Syst 2015
6

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
6

RSeQC: quality control of RNA-seq experiments.
Liguo Wang, Shengqin Wang, Wei Li. Bioinformatics 2012
875
5

Current best practices in single-cell RNA-seq analysis: a tutorial.
Malte D Luecken, Fabian J Theis. Mol Syst Biol 2019
287
5

Using control genes to correct for unwanted variation in microarray data.
Johann A Gagnon-Bartsch, Terence P Speed. Biostatistics 2012
211
5

A benchmark of batch-effect correction methods for single-cell RNA sequencing data.
Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen. Genome Biol 2020
113
5

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
5

Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
111
5

Synthetic spike-in standards for RNA-seq experiments.
Lichun Jiang, Felix Schlesinger, Carrie A Davis, Yu Zhang, Renhua Li, Marc Salit, Thomas R Gingeras, Brian Oliver. Genome Res 2011
350
5

Bayesian approach to single-cell differential expression analysis.
Peter V Kharchenko, Lev Silberstein, David T Scadden. Nat Methods 2014
532
5


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.