ArticleNature biotechnology2020
Butler enables rapid cloud-based analysis of thousands of human genomes.
Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome.Briefings in bioinformatics · 2024Article
- Advancements in brain-machine interfaces for application in the metaverse.Frontiers in neuroscience · 2024Review
- Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography.Nature methods · 2021Article
- Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers.Nature methods · 2021Review
- Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography.bioRxiv : the preprint server for biology · 2021Article
- Pan-cancer analysis of whole genomes.Nature · 2020Article
- Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants.F1000Research · 2020Article
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
We present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis by 43% compared with current approaches. Butler enabled processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genomes (PCAWG) project in a time-efficient and uniform manner.
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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.