ReviewComputational and structural biotechnology journal2016
A Review on Genomics APIs.
Review in Computational and structural biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Revealing Hidden Genes inInternational journal of molecular sciences · 2024Article
- Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Article
- Ten simple rules for developing visualization tools in genomics.PLoS computational biology · 2022Article
- vcf2fhir: a utility to convert VCF files into HL7 FHIR format for genomics-EHR integration.BMC bioinformatics · 2021Article
- Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.Briefings in bioinformatics · 2020Review
- PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations.Genome biology · 2019Article
- Genomics and electronic health record systems.Human molecular genetics · 2018Review
- Impact of a Patient-Facing Enhanced Genomic Results Report to Improve Understanding, Engagement, and Communication.Journal of genetic counseling · 2018Article
- Long-term preservation of biomedical research data.F1000Research · 2018Article
- Transferring Exome Sequencing Data from Clinical Laboratories to Healthcare Providers: Lessons Learned at a Pediatric Hospital.Frontiers in genetics · 2018Article
- Towards an open grapevine information system.Horticulture research · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The constant improvement and falling prices of whole human genome Next Generation Sequencing (NGS) has resulted in rapid adoption of genomic information at both clinics and research institutions. Considered together, the complexity of genomics data, due to its large volume and diversity along with the need for genomic data sharing, has resulted in the creation of Application Programming Interface (API) for secure, modular, interoperable access to genomic data from different applications, platforms, and even organizations. The Genomics APIs are a set of special protocols that assist software developers in dealing with multiple genomic data sources for building seamless, interoperable applications leading to the advancement of both genomic and clinical research. These APIs help define a standard for retrieval of genomic data from multiple sources as well as to better package genomic information for integration with Electronic Health Records. This review covers three currently available Genomics APIs: a) Google Genomics, b) SMART Genomics, and c) 23andMe. The functionalities, reference implementations (if available) and authentication protocols of each API are reviewed. A comparative analysis of the different features across the three APIs is provided in the Discussion section. Though Genomics APIs are still under active development and have yet to reach widespread adoption, they hold the promise to make building of complicated genomics applications easier with downstream constructive effects on healthcare.
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.