A citation-based method for searching scientific literature

Simon Anders, Wolfgang Huber. Genome Biol 2010
Times Cited: 8472







List of co-cited articles
219 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
21

HTSeq--a Python framework to work with high-throughput sequencing data.
Simon Anders, Paul Theodor Pyl, Wolfgang Huber. Bioinformatics 2015
16


TopHat: discovering splice junctions with RNA-Seq.
Cole Trapnell, Lior Pachter, Steven L Salzberg. Bioinformatics 2009
15

Fast gapped-read alignment with Bowtie 2.
Ben Langmead, Steven L Salzberg. Nat Methods 2012
14

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
13

HISAT: a fast spliced aligner with low memory requirements.
Daehwan Kim, Ben Langmead, Steven L Salzberg. Nat Methods 2015
12

Gene ontology analysis for RNA-seq: accounting for selection bias.
Matthew D Young, Matthew J Wakefield, Gordon K Smyth, Alicia Oshlack. Genome Biol 2010
11

Full-length transcriptome assembly from RNA-Seq data without a reference genome.
Manfred G Grabherr, Brian J Haas, Moran Yassour, Joshua Z Levin, Dawn A Thompson, Ido Amit, Xian Adiconis, Lin Fan, Raktima Raychowdhury, Qiandong Zeng,[...]. Nat Biotechnol 2011
11

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
Mark D Robinson, Davis J McCarthy, Gordon K Smyth. Bioinformatics 2010
11

Trimmomatic: a flexible trimmer for Illumina sequence data.
Anthony M Bolger, Marc Lohse, Bjoern Usadel. Bioinformatics 2014
10

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
10


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
10

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.
Daehwan Kim, Geo Pertea, Cole Trapnell, Harold Pimentel, Ryan Kelley, Steven L Salzberg. Genome Biol 2013
9

StringTie enables improved reconstruction of a transcriptome from RNA-seq reads.
Mihaela Pertea, Geo M Pertea, Corina M Antonescu, Tsung-Cheng Chang, Joshua T Mendell, Steven L Salzberg. Nat Biotechnol 2015
8


Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.
Cole Trapnell, Brian A Williams, Geo Pertea, Ali Mortazavi, Gordon Kwan, Marijke J van Baren, Steven L Salzberg, Barbara J Wold, Lior Pachter. Nat Biotechnol 2010
7


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
7

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
7

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


DEGseq: an R package for identifying differentially expressed genes from RNA-seq data.
Likun Wang, Zhixing Feng, Xi Wang, Xiaowo Wang, Xuegong Zhang. Bioinformatics 2010
6


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
6

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.
Cole Trapnell, Adam Roberts, Loyal Goff, Geo Pertea, Daehwan Kim, David R Kelley, Harold Pimentel, Steven L Salzberg, John L Rinn, Lior Pachter. Nat Protoc 2012
6

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.
Da Wei Huang, Brad T Sherman, Richard A Lempicki. Nat Protoc 2009
6

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
5


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
4

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
4

Mapping and quantifying mammalian transcriptomes by RNA-Seq.
Ali Mortazavi, Brian A Williams, Kenneth McCue, Lorian Schaeffer, Barbara Wold. Nat Methods 2008
4

Quantitative single-cell RNA-seq with unique molecular identifiers.
Saiful Islam, Amit Zeisel, Simon Joost, Gioele La Manno, Pawel Zajac, Maria Kasper, Peter Lönnerberg, Sten Linnarsson. Nat Methods 2014
585
4

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
4

Validation of noise models for single-cell transcriptomics.
Dominic Grün, Lennart Kester, Alexander van Oudenaarden. Nat Methods 2014
324
4

miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades.
Marc R Friedländer, Sebastian D Mackowiak, Na Li, Wei Chen, Nikolaus Rajewsky. Nucleic Acids Res 2012
4

KEGG for linking genomes to life and the environment.
Minoru Kanehisa, Michihiro Araki, Susumu Goto, Masahiro Hattori, Mika Hirakawa, Masumi Itoh, Toshiaki Katayama, Shuichi Kawashima, Shujiro Okuda, Toshiaki Tokimatsu,[...]. Nucleic Acids Res 2008
4

MicroRNA targets in Drosophila.
Anton J Enright, Bino John, Ulrike Gaul, Thomas Tuschl, Chris Sander, Debora S Marks. Genome Biol 2003
4


Basic local alignment search tool.
S F Altschul, W Gish, W Miller, E W Myers, D J Lipman. J Mol Biol 1990
4

Cytoscape: a software environment for integrated models of biomolecular interaction networks.
Paul Shannon, Andrew Markiel, Owen Ozier, Nitin S Baliga, Jonathan T Wang, Daniel Ramage, Nada Amin, Benno Schwikowski, Trey Ideker. Genome Res 2003
4

Primer3--new capabilities and interfaces.
Andreas Untergasser, Ioana Cutcutache, Triinu Koressaar, Jian Ye, Brant C Faircloth, Maido Remm, Steven G Rozen. Nucleic Acids Res 2012
4

clusterProfiler: an R package for comparing biological themes among gene clusters.
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. OMICS 2012
4

CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine.
Lei Kong, Yong Zhang, Zhi-Qiang Ye, Xiao-Qiao Liu, Shu-Qi Zhao, Liping Wei, Ge Gao. Nucleic Acids Res 2007
3


Bayesian approach to single-cell differential expression analysis.
Peter V Kharchenko, Lev Silberstein, David T Scadden. Nat Methods 2014
532
3

pcaReduce: hierarchical clustering of single cell transcriptional profiles.
Justina Žurauskienė, Christopher Yau. BMC Bioinformatics 2016
100
3

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.
Greg Finak, Andrew McDavid, Masanao Yajima, Jingyuan Deng, Vivian Gersuk, Alex K Shalek, Chloe K Slichter, Hannah W Miller, M Juliana McElrath, Martin Prlic,[...]. Genome Biol 2015
586
3

RNA-Seq: a revolutionary tool for transcriptomics.
Zhong Wang, Mark Gerstein, Michael Snyder. Nat Rev Genet 2009
3


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.