Results 11 to 20 of about 64,018 (290)

Power analysis for spatial omics [PDF]

open access: yes, 2022
AbstractAs spatially-resolved multiplex profiling of RNA and proteins becomes more prominent, it is increasingly important to understand the statistical power available to test specific hypotheses when designing and interpreting such experiments. Ideally, it would be possible to create an oracle that predicts sampling requirements for generalized ...
Ethan A. G. Baker   +4 more
openaire   +1 more source

SOTIP is a versatile method for microenvironment modeling with spatial omics data

open access: yesNature Communications, 2022
Methods that analyse heterogeneity and compare tissue microenvironments using spatial omics data are challenging to develop. Here, the authors present SOTIP, a method that can perform spatial heterogeneity, spatial domain, and differential ...
Zhiyuan Yuan   +6 more
doaj   +1 more source

Squidpy: a scalable framework for spatial omics analysis [PDF]

open access: yesNature Methods, 2022
AbstractSpatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Flexible tools are required to store, integrate and visualize the large diversity of spatial omics data. Here, we present Squidpy, a Python framework that brings together tools from omics and image analysis to enable scalable ...
Giovanni Palla   +12 more
openaire   +4 more sources

DNA‐Barcoded Fluorescence Microscopy for Spatial Omics [PDF]

open access: yesPROTEOMICS, 2020
AbstractInnovation in genomics, transcriptomics, and proteomics research has created a plethora of state‐of‐the‐art techniques such as nucleic acid sequencing and mass‐spectrometry‐based proteomics with paramount impact in the life sciences. While current approaches yield quantitative abundance analysis of biomolecules on an almost routine basis ...
Schueder, Florian   +3 more
openaire   +3 more sources

Systems biology in animal sciences [PDF]

open access: yes, 2011
Systems biology is a rapidly expanding field of research and is applied in a number of biological disciplines. In animal sciences, omics approaches are increasingly used, yielding vast amounts of data, but systems biology approaches to extract ...
Bannink, A.   +4 more
core   +3 more sources

Updates in metabolomics tools and resources: 2014-2015 [PDF]

open access: yes, 2016
Data processing and interpretation represent the most challenging and time-consuming steps in high-throughput metabolomic experiments, regardless of the analytical platforms (MS or NMR spectroscopy based) used for data acquisition.
Misra, Biswapriya B.   +1 more
core   +1 more source

Multi-omics analysis in developmental bone biology

open access: yesJapanese Dental Science Review, 2023
Single-cell omics and multi-omics have revolutionized our understanding of molecular and cellular biological processes at a single-cell level. In bone biology, the combination of single-cell RNA-sequencing analyses and in vivo lineage-tracing approaches ...
Yuki Matsushita   +3 more
doaj   +1 more source

Situational Awareness Support to Enhance Teamwork in Collaborative Environments [PDF]

open access: yes, 2008
Modern collaborative environments often provide an overwhelming amount of visual information on multiple displays. The multitude of personal and shared interaction devices leads to lack of awareness of team members on ongoing activities, and awareness of
Dijk, E.M.A.G. van   +2 more
core   +2 more sources

Preclinical Models: Boosting Synergies for Improved Translation [PDF]

open access: yes, 2020
The field of preclinical models is a very vast arena, in which finding connections among groups acting in apparently very distant research areas can sometimes prove challenging [...
Attanasio C., Sangiovanni M.
core   +1 more source

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. [PDF]

open access: yes, 2019
MotivationMultiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy.
Agard, Bruno   +42 more
core   +3 more sources

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