Applications of multi‐omics analysis in human diseases
Multi‐omics usually refers to the crossover application of multiple high‐throughput screening
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
technologies represented by genomics, transcriptomics, single‐cell transcriptomics …
Multi-omics integration in biomedical research–A metabolomics-centric review
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …
layers of a biological system, including DNA sequence data (genomics), RNA expression …
WikiPathways: connecting communities
Abstract WikiPathways (https://www. wikipathways. org) is a biological pathway database
known for its collaborative nature and open science approaches. With the core idea of the …
known for its collaborative nature and open science approaches. With the core idea of the …
Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis
D Türei, A Valdeolivas, L Gul… - Molecular systems …, 2021 - embopress.org
Molecular knowledge of biological processes is a cornerstone in omics data analysis.
Applied to single‐cell data, such analyses provide mechanistic insights into individual cells …
Applied to single‐cell data, such analyses provide mechanistic insights into individual cells …
[HTML][HTML] Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches
used for the functional interpretation of metabolomics datasets. Despite the widespread use …
used for the functional interpretation of metabolomics datasets. Despite the widespread use …
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
The COVID-19 crisis has elicited a global response by the scientific community that has led
to a burst of publications on the pathophysiology of the virus. However, without coordinated …
to a burst of publications on the pathophysiology of the virus. However, without coordinated …
PathDIP 5: improving coverage and making enrichment analysis more biologically meaningful
C Pastrello, M Kotlyar, M Abovsky, R Lu… - Nucleic Acids …, 2024 - academic.oup.com
Abstract Pathway Data Integration Portal (PathDIP) is an integrated pathway database that
was developed to increase functional gene annotation coverage and reduce bias in …
was developed to increase functional gene annotation coverage and reduce bias in …
[HTML][HTML] Computational analyses of mechanism of action (MoA): data, methods and integration
The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
[HTML][HTML] The impact of pathway database choice on statistical enrichment analysis and predictive modeling
Pathway-centric approaches are widely used to interpret and contextualize-omics data.
However, databases contain different representations of the same biological pathway, which …
However, databases contain different representations of the same biological pathway, which …
[PDF][PDF] Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference
DN Sosa, RB Altman - Briefings in bioinformatics, 2022 - academic.oup.com
The cost of drug development continues to rise and may be prohibitive in cases of unmet
clinical need, particularly for rare diseases. Artificial intelligence-based methods are …
clinical need, particularly for rare diseases. Artificial intelligence-based methods are …