Author

Matthew L Speir

University of California, Santa CruzORCID 0000-0002-2035-1129Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Maximilian HaeussleriD· 3 shared Tomasz Jan NowakowskiiD· 2 shared Alex A. PolleniD· 1 shared Andrew P. BlairiD· 1 shared Aparna BhaduriiD· 1 shared Arnold R. KriegsteiniD· 1 shared Arturo Álvarez-BuyllaiD· 1 shared Bayardo I. GarayiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Maximilian HaeusslerORCID

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Author profile →

3 papers

Recent·Most cited

UCSC Cell Browser: Visualize Your Single-Cell Data

Matthew L Speir, Aparna Bhaduri, Nikolay S. Markov, Pablo A Moreno, Tomasz Jan Nowakowski, Irene Papatheodorou, Alex A. Pollen, Brian J. Raney, Lucas Seninge, William James Kent, Maximilian Haeussler

The UCSC Cell Browser allows visualization of gene expression and metadata in single-cell datasets through a web interface and Python package.

Bioinformatics · Jul 5, 2021Peer-reviewedBioinformatics

Molecular diversity and lineage commitment of human interneuron progenitors

Dmitry Velmeshev, Manideep Chavali, Tomasz Jan Nowakowski, Mohini Bhade, Simone Mayer, Nitasha Goyal, Beatriz Alvarado, Walter Mancia, Shaohui Wang, Matthew L Speir, Maximilian Haeussler, David H. Rowitch, Arturo Álvarez-Buylla, Eric Jinsheng Huang, Mercedes F. Paredes, Arnold R. Kriegstein

The paper identifies molecular subtypes of human interneuron progenitors and immature interneurons using single-cell RNA sequencing and compares them to mouse data, revealing species-specific gene programs.

bioRxiv · May 13, 2021 · PreprintNeuroscience

Modeling human TBX5 haploinsufficiency predicts regulatory networks for congenital heart disease

Irfan S. Kathiriya, Kavitha S. Rao, Giovanni Lo Iacono, Walter Patrick Devine, Andrew P. Blair, Swetansu K. Hota, Michael H. Lai, Bayardo I. Garay, Reuben Thomas, Henry Z. Gong, Lauren K. Wasson, Piyush Goyal, Tatyana Sukonnik, Kevin M. Hu, Gunes A. Akgun, , Benoit G. Bruneau

The paper models TBX5 haploinsufficiency in iPSC-derived cardiomyocytes to identify gene regulatory network imbalances linked to congenital heart disease.

Developmental Cell · Dec 15, 2020Peer-reviewedDevelopmental Biology