ReviewNature reviews. Genetics2010
Computational solutions to large-scale data management and analysis.
Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.
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
154 citing papers in PubMed, 638 citations in OpenAlex.
- Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots.Briefings in bioinformatics · 2026Review
- Teaching Python with team-based learning: using cloud-based notebooks for interactive coding education.FEBS open bio · 2025Article
- Advancing the Spatiotemporal Dimension of Wildlife-Pollution Interactions.Environmental science & technology letters · 2025Review
- Journeying towards best practice data management in biodiversity genomics.Molecular ecology resources · 2025Article
- Integrated data-driven biotechnology research environments.Database : the journal of biological databases and curation · 2025Review
- Clinical implementation of next-generation sequencing testing and genomically-matched therapy: a real-world data in a tertiary hospital.Scientific reports · 2025Article
- VAREANT: a bioinformatics application for gene variant reduction and annotation.Bioinformatics advances · 2025Article
- Generative and Predictive AI for digital twin systems in manufacturing.Frontiers in artificial intelligence · 2025Article
- Diagnosis of nontuberculous mycobacterial infections using genomics and artificial intelligence-machine learning approaches: scope, progress and challenges.Frontiers in microbiology · 2025Review
- The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review.Antibiotics (Basel, Switzerland) · 2024Review
- Phenotypic variation seems not to be associated with the genetic profile in Zygopetalum (Orchidaceae): a case study of a high-elevation rocky complex.Molecular biology reports · 2024Article
- Medicare meets the cloud: the development of a secure platform for the storage and analysis of claims data.JAMIA open · 2024Article
- Perovskite single-pixel detector for dual-color metasurface imaging recognition in complex environment.Light, science & applications · 2023Article
- Big data in autism research: Methodological challenges and solutions.Autism research : official journal of the International Society for Autism Research · 2023Article
- Biocomputational Identification of sRNAs inIndian journal of microbiology · 2023Article
- Marine animal evolutionary developmental biology-Advances through technology development.Evolutionary applications · 2023Article
- Establishing Reliable Research Data Management by Integrating Measurement Devices Utilizing Intelligent Digital Twins.Sensors (Basel, Switzerland) · 2023Article
- Deep learning in bioinformatics.Turkish journal of biology = Turk biyoloji dergisi · 2023Article
- Container Profiler: Profiling resource utilization of containerized big data pipelines.GigaScience · 2022Article
- Integrative System Biology Analysis of Transcriptomic Responses to Drought Stress in Soybean (Genes · 2022Article
94 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Today we can generate hundreds of gigabases of DNA and RNA sequencing data in a week for less than US$5,000. The astonishing rate of data generation by these low-cost, high-throughput technologies in genomics is being matched by that of other technologies, such as real-time imaging and mass spectrometry-based flow cytometry. Success in the life sciences will depend on our ability to properly interpret the large-scale, high-dimensional data sets that are generated by these technologies, which in turn requires us to adopt advances in informatics. Here we discuss how we can master the different types of computational environments that exist - such as cloud and heterogeneous computing - to successfully tackle our big data problems.
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.