Trapnell, Cole

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology

Genomics and Phylogenetic StudiesAlgorithms and Data Compression

Cited by 21,849

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 15,556

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 12,668

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 7,314

Reversed graph embedding resolves complex single-cell trajectories

Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 5,070

The single-cell transcriptional landscape of mammalian organogenesis

Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature

Single-cell and spatial transcriptomicsDevelopmental Biology and Gene Regulation

Cited by 4,490

Differential analysis of gene regulation at transcript resolution with RNA-seq

Trapnell, C., Hendrickson, D. G., Sauvageau, M., Goff, L., Rinn, J. L., & Pachter, L. (2013) · Nature Biotechnology

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 3,492

Improving RNA-Seq expression estimates by correcting for fragment bias

Roberts, A., Trapnell, C., Donaghey, J., Rinn, J. L., & Pachter, L. (2011) · Genome Biology

Genomics and Phylogenetic StudiesGene expression and cancer classification

Cited by 1,725

Comprehensive single cell transcriptional profiling of a multicellular organism by combinatorial indexing

Cao, J., Packer, J. S., Ramani, V., Cusanovich, D. A., Huynh, C., Daza, R., Qiu, X., Lee, C., Furlan, S. N., Steemers, F. J., et al. (2017) · Science

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 1,402

Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing

Cusanovich, D. A., Daza, R., Adey, A., Pliner, H. A., Christiansen, L., Gunderson, K. L., Steemers, F. J., Trapnell, C., & Shendure, J. (2015) · Science

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 1,248

Computational methods for transcriptome annotation and quantification using RNA-seq

Garber, M., Grabherr, M. G., Guttman, M., & Trapnell, C. (2011) · Nature Methods

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 1,042

Joint profiling of chromatin accessibility and gene expression in thousands of single cells

Cao, J., Cusanovich, D. A., Ramani, V., Aghamirzaie, D., Pliner, H. A., Hill, A. J., Daza, R. M., McFaline-Figueroa, J. L., Packer, J. S., Christiansen, L., et al. (2018) · Science

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 938

Defining cell types and states with single-cell genomics

Trapnell, C. (2015) · Genome Research

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 813

Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data

Pliner, H. A., Packer, J. S., McFaline-Figueroa, J. L., Cusanovich, D. A., Daza, R. M., Aghamirzaie, D., Srivatsan, S., Qiu, X., Jackson, D., Minkina, A., et al. (2018) · Molecular Cell

Genomics and Chromatin DynamicsSingle-cell and spatial transcriptomics

Cited by 789

A human cell atlas of fetal gene expression

Cao, J., O’Day, D. R., Pliner, H. A., Kingsley, P. D., Deng, M., Daza, R. M., Zager, M. A., Aldinger, K. A., Blecher-Gonen, R., Zhang, F., et al. (2020) · Science

Single-cell and spatial transcriptomicsDevelopmental Biology and Gene Regulation

Cited by 764

A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

Cusanovich, D. A., Hill, A. J., Aghamirzaie, D., Daza, R. M., Pliner, H. A., Berletch, J. B., Filippova, G. N., Huang, X., Christiansen, L., DeWitt, W. S., et al. (2018) · Cell

Genomics and Chromatin DynamicsSingle-cell and spatial transcriptomics

Cited by 759

A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens

Gasperini, M., Hill, A. J., McFaline-Figueroa, J. L., Martin, B., Kim, S., Zhang, M. D., Jackson, D., Leith, A., Schreiber, J., Noble, W. S., et al. (2019) · Cell

Genomics and Chromatin DynamicsCRISPR and Genetic Engineering

Cited by 613

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

HuBMAP Consortium, Writing Group, Snyder, M. P., Lin, S., Posgai, A., Atkinson, M., Regev, A., Rood, J., Rozenblatt-Rosen, O., Gaffney, L., et al. (2019) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 595

Supervised classification enables rapid annotation of cell atlases

Pliner, H. A., Shendure, J., & Trapnell, C. (2019) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 498

Transcriptional and Epigenetic Dynamics during Specification of Human Embryonic Stem Cells

Gifford, C. A., Ziller, M. J., Gu, H., Trapnell, C., Donaghey, J., Tsankov, A., Shalek, A. K., Kelley, D. R., Shishkin, A. A., Issner, R., et al. (2013) · Cell

Pluripotent Stem Cells ResearchEpigenetics and DNA Methylation

Cited by 435

Massively multiplex chemical transcriptomics at single-cell resolution

Srivatsan, S. R., McFaline-Figueroa, J. L., Ramani, V., Saunders, L., Cao, J., Packer, J., Pliner, H. A., Jackson, D. L., Daza, R. M., Christiansen, L., et al. (2020) · Science

Single-cell and spatial transcriptomicsAdvanced Proteomics Techniques and Applications

Cited by 401

The cis-regulatory dynamics of embryonic development at single-cell resolution

Cusanovich, D. A., Reddington, J. P., Garfield, D. A., Daza, R. M., Aghamirzaie, D., Marco-Ferreres, R., Pliner, H. A., Christiansen, L., Qiu, X., Steemers, F. J., et al. (2018) · Nature

Genomics and Chromatin DynamicsSingle-cell and spatial transcriptomics

Cited by 363

Predicting cellular responses to complex perturbations in high‐throughput screens

Lotfollahi, M., Klimovskaia Susmelj, A., De Donno, C., Hetzel, L., Ji, Y., Ibarra, I. L., Srivatsan, S. R., Naghipourfar, M., Daza, R. M., Martin, B., et al. (2023) · Molecular Systems Biology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 307

Highly scalable generation of DNA methylation profiles in single cells

Mulqueen, R. M., Pokholok, D., Norberg, S. J., Torkenczy, K. A., Fields, A. J., Sun, D., Sinnamon, J. R., Shendure, J., Trapnell, C., O'Roak, B. J., et al. (2018) · Nature Biotechnology

Epigenetics and DNA MethylationSingle-cell and spatial transcriptomics

Cited by 289