ReviewBioinformatics and biology insights2021
Cloud Computing Enabled Big Multi-Omics Data Analytics.
Review in Bioinformatics and biology insights, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From immunological mechanisms to targeted therapies: a bibliometric analysis in the domain of research concerning neutrophil extracellular traps and pulmonary diseases (2006-2025).Frontiers in immunology · 2026Pooled it
- From molecules to minds: Integrative multi-omics in psychiatry.Journal of mood and anxiety disorders · 2026Review
- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- Challenges and Opportunities in Multi-Omics Data Acquisition and Analysis: Toward Integrative Solutions.Biomolecules · 2026Review
- Smaller scale, same impact: replicating high-throughput phenotypic profiling in a medium-throughput lab for use in chemical risk assessment.Archives of toxicology · 2025Article
- Unravelling the Complexity of Sarcopenia Through a Systems Biology Approach.International journal of molecular sciences · 2025Review
- Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.Molecular cancer · 2025Review
- Article
- Article
- Long-Read Sequencing for the Rapid Response to Infectious Diseases Outbreaks.Current clinical microbiology reports · 2025Review
- A holistic approach to understanding immune-mediated inflammatory diseases: bioinformatic tools to integrate omics data.Computational and structural biotechnology journal · 2024Review
- Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform.Foods (Basel, Switzerland) · 2024Review
- CloudATAC: a cloud-based framework for ATAC-Seq data analysis.Briefings in bioinformatics · 2024Article
- Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare.Pharmaceutics · 2024Review
- Torch-eCpG: a fast and scalable eQTM mapper for thousands of molecular phenotypes with graphical processing units.BMC bioinformatics · 2024Article
- Implementation of cloud computing in the German healthcare system.NPJ digital medicine · 2024Review
- Challenges and opportunities of big data analytics in healthcare.Health care science · 2023Review
- Identification of miR-143-3p as a diagnostic biomarker in gastric cancer.BMC medical genomics · 2023Article
- Multi-Omics Profiling for Health.Molecular & cellular proteomics : MCP · 2023Review
- Accelerating genomic workflows using NVIDIA Parabricks.BMC bioinformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput experiments enable researchers to explore complex multifactorial diseases through large-scale analysis of omics data. Challenges for such high-dimensional data sets include storage, analyses, and sharing. Recent innovations in computational technologies and approaches, especially in cloud computing, offer a promising, low-cost, and highly flexible solution in the bioinformatics domain. Cloud computing is rapidly proving increasingly useful in molecular modeling, omics data analytics (eg, RNA sequencing, metabolomics, or proteomics data sets), and for the integration, analysis, and interpretation of phenotypic data. We review the adoption of advanced cloud-based and big data technologies for processing and analyzing omics data and provide insights into state-of-the-art cloud bioinformatics applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.