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Roger S. Lasken

J. Craig Venter Institute ·
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Area of research
Molecular Biology · Ecology
Research interest
Research interests include Genomics and Phylogenetic Studies, Microbial Community Ecology and Physiology, Single-cell and spatial transcriptomics, and Bacteriophages and microbial interactions.
h-index
54
citations
15,210
works
95
NIH funding
primary concept
email

Recent publications

Transcriptomic evidence that von Economo neurons are regionally specialized extratelencephalic-projecting excitatory neurons
Nature Communications 2020cited by 100position: middledoi
Transcriptomic evidence that von Economo neurons are regionally specialized extratelencephalic-projecting excitatory neurons
bioRxiv (Cold Spring Harbor Laboratory) 2019cited by 9position: middledoi
Transcriptomic evidence that von Economo neurons are regionally specialized extratelencephalic-projecting excitatory neurons
IBRO Reports 2019cited by 0position: middledoi
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
PLoS ONE 2018cited by 651position: middledoi
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
Nature Neuroscience 2018cited by 321position: middledoi
Single-Cell Transcriptomes Distinguish Stem Cell State Changes and Lineage Specification Programs in Early Mammary Gland Development
Cell Reports 2018cited by 167position: middledoi
Cell type discovery using single-cell transcriptomics: implications for ontological representation
Human Molecular Genetics 2018cited by 71position: middledoi
Big data and single cell transcriptomics: implications for ontological representation
bioRxiv (Cold Spring Harbor Laboratory) 2018cited by 2position: middledoi
The metabolic potential of the single cell genomes obtained from the Challenger Deep, <scp>M</scp> ariana <scp>T</scp> rench within the candidate superphylum <scp>P</scp> arcubacteria ( <scp>OD</scp> 1)
Environmental Microbiology 2017cited by 98position: middledoi
Cell type discovery and representation in the era of high-content single cell phenotyping
BMC Bioinformatics 2017cited by 65position: middledoi
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
bioRxiv (Cold Spring Harbor Laboratory) 2017cited by 24position: middledoi
Equivalent high-resolution identification of neuronal cell types with single-nucleus and single-cell RNA-sequencing
bioRxiv (Cold Spring Harbor Laboratory) 2017cited by 13position: middledoi
Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons
Nature Protocols 2016cited by 508position: lastdoi
L1-associated genomic regions are deleted in somatic cells of the healthy human brain
Nature Neuroscience 2016cited by 201position: middledoi
Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology
Molecular Psychiatry 2016cited by 166position: middledoi
PRODUCTION OF A PRELIMINARY QUALITY CONTROL PIPELINE FOR SINGLE NUCLEI RNA-SEQ AND ITS APPLICATION IN THE ANALYSIS OF CELL TYPE DIVERSITY OF POST-MORTEM HUMAN BRAIN NEOCORTEX
2016cited by 14position: middledoi
Simultaneous deletion of the methylcytosine oxidases Tet1 and Tet3 increases transcriptome variability in early embryogenesis
Proceedings of the National Academy of Sciences 2015cited by 125position: middledoi
Assembling Single-Cell Genomes and Mini-Metagenomes From Chimeric MDA Products
Journal of Computational Biology 2013cited by 1,376position: middledoi
Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads
Lecture notes in computer science 2013cited by 697position: middledoi
Mosaic Copy Number Variation in Human Neurons
Science 2013cited by 564position: middledoi
RNA-sequencing from single nuclei
Proceedings of the National Academy of Sciences 2013cited by 451position: lastdoi
Candidate phylum TM6 genome recovered from a hospital sink biofilm provides genomic insights into this uncultivated phylum
Proceedings of the National Academy of Sciences 2013cited by 177position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Mark Novotny · J. Craig Venter Institute11 papers (2013–2018)Brian D. Aevermann · Chan Zuckerberg Initiative (United States)5 papers (2016–2018)Fred H. Gage · Salk Institute for Biological Studies5 papers (2013–2016)Ed S. Lein · Allen Institute for Brain Science5 papers (2016–2018)Richard H. Scheuermann · National Institutes of Health5 papers (2016–2018)Jeremy A. Miller · Indiana University Bloomington5 papers (2016–2018)Trygve E. Bakken · Allen Institute for Brain Science4 papers (2016–2018)Jamison McCorrison · Applied BioMath (United States)3 papers (2016–2017)Pratap Venepally · Pacific Northwest National Laboratory3 papers (2013–2016)Glenn Tesler · University of California San Diego3 papers (2013–2013)Nicholas J. Schork · Translational Genomics Research Institute3 papers (2016–2017)Rebecca D. Hodge · Allen Institute for Brain Science3 papers (2016–2017)Pavel A. Pevzner · San Diego Supercomputer Center3 papers (2013–2013)Jennifer A. Erwin · Johns Hopkins University3 papers (2016–2016)Michael J. McConnell · Lieber Institute for Brain Development3 papers (2013–2016)Jeffrey S. McLean · University of Washington3 papers (2013–2013)Francisco Díez‐Fuertes · Instituto de Salud Carlos III2 papers (2016–2016)David Osumi-Sutherland · Medical College of Wisconsin2 papers (2018–2018)Sergey Nurk · Oxford Nanopore Technologies (United Kingdom)2 papers (2013–2013) · 2 papers (2013–2013)
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