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Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery

Boyan Bonev, Gonçalo Castelo‐Branco, Fei Chen, Simone Codeluppi, M. Ryan Corces, Jean Fan, Myriam Heiman, Kenneth D. Harris, Fumitaka Inoue, Manolis Kellis, Ariel J. Levine, Mohammad Lotfollahi, Chongyuan Luo, Kristen R. Maynard, Mor Nitzan, Vijay Ramani, Rahul Satijia, Lucas Schirmer, Yin Shen, Na Sun, Gilad S. Green, Fabian J. Theis, Xiao Wang, Joshua D. Welch, Özgün Gökçe, Geneviève Konopka, Shane A. Liddelow, Evan Z. Macosko, Omer Ali Bayraktar, Naomi Habib, Tomasz J. Nowakowski

2024Nature Neuroscience32 citationsDOIOpen Access PDF

Topics & Concepts

EpigenomicsEpigenomeComputer scienceData scienceGenomicsComputational biologyNeuroinformaticsNeuroscienceProfiling (computer programming)BiologyGenomeDNA methylationBiochemistryOperating systemGene expressionGeneSingle-cell and spatial transcriptomicsGene Regulatory Network AnalysisCell Image Analysis Techniques
Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery | Litcius