Single-cell spatial (scs) omics: Recent developments in data analysis
Metadatos
Mostrar el registro completo del ítemAutor
Camacho Páez, José; Sorochan Armstrong, Michael; García Martínez, María Luz; Díaz, Caridad; Gómez Llorente, CarolinaEditorial
Elsevier
Materia
Single-cell Spatial Omics Data Analysis Computational
Fecha
2025Referencia bibliográfica
Published version: Camacho Páez, José et al. TrAC Trends in Analytical Chemistry Volume 183, February 2025, 118109. https://doi.org/10.1016/j.trac.2024.118109
Patrocinador
MICIU/AEI/10.13039/501100011033 PID2023-1523010B-IOO; European Regional Development Fund; MSCA MAHOD-101106986Resumen
Over the past few years, technological advances have allowed for measurement of omics data
at the cell level, creating a new type of data generally referred to as single-cell (sc) omics. On
the other hand, the so-called spatial omics are a family of techniques that generate biological
information in a spatial domain, for instance, in the volume of a tissue. In this survey, we are
mostly interested in the intersection between sc and spatial (scs) omics and in the challenges
and opportunities that this new type of data pose for downstream data analysis methodologies.
Our goal is to cover all major omics modalities, including transcriptomics, genomics,
epigenomics, proteomics and metabolomics.