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Featured researches published by Jiwen Xin.


Genome Biology | 2016

High-performance web services for querying gene and variant annotation

Jiwen Xin; Adam Mark; Cyrus Afrasiabi; Ginger Tsueng; Moritz Juchler; Nikhil Gopal; Gregory S. Stupp; Timothy E. Putman; Benjamin J. Ainscough; Obi L. Griffith; Ali Torkamani; Patricia L. Whetzel; Christopher J. Mungall; Sean D. Mooney; Andrew I. Su; Chunlei Wu

Efficient tools for data management and integration are essential for many aspects of high-throughput biology. In particular, annotations of genes and human genetic variants are commonly used but highly fragmented across many resources. Here, we describe MyGene.info and MyVariant.info, high-performance web services for querying gene and variant annotation information. These web services are currently accessed more than three million times per month. They also demonstrate a generalizable cloud-based model for organizing and querying biological annotation information. MyGene.info and MyVariant.info are provided as high-performance web services, accessible at http://mygene.info and http://myvariant.info. Both are offered free of charge to the research community.


BMC Bioinformatics | 2018

Cross-linking BioThings APIs through JSON-LD to facilitate knowledge exploration

Jiwen Xin; Cyrus Afrasiabi; Sebastien Lelong; Julee Adesara; Ginger Tsueng; Andrew I. Su; Chunlei Wu

BackgroundApplication Programming Interfaces (APIs) are now widely used to distribute biological data. And many popular biological APIs developed by many different research teams have adopted Javascript Object Notation (JSON) as their primary data format. While usage of a common data format offers significant advantages, that alone is not sufficient for rich integrative queries across APIs.ResultsHere, we have implemented JSON for Linking Data (JSON-LD) technology on the BioThings APIs that we have developed, MyGene.info, MyVariant.info and MyChem.info. JSON-LD provides a standard way to add semantic context to the existing JSON data structure, for the purpose of enhancing the interoperability between APIs. We demonstrated several use cases that were facilitated by semantic annotations using JSON-LD, including simpler and more precise query capabilities as well as API cross-linking.ConclusionsWe believe that this pattern offers a generalizable solution for interoperability of APIs in the life sciences.


bioRxiv | 2015

MyGene.info and MyVariant.info: Gene and Variant Annotation Query Services

Jiwen Xin; Adam Mark; Cyrus Afrasiabi; Ginger Tsueng; Moritz Juchler; Nikhil Gopal; Gregory S. Stupp; Timothy E. Putman; Benjamin J. Ainscough; Obi L. Griffith; Ali Torkamani; Patricia L. Whetzel; Christopher J. Mungall; Sean D. Mooney; Andrew I. Su; Chunlei Wu

MyGene.info and MyVariant.info provide high-performance data APIs for querying gene and variant annotation information. They demonstrate a new model for organizing biological annotation information by utilizing a cloud-based scalable infrastructure. MyGene.info and MyVariant.info can be accessed at http://mygene.info and http://myvariant.info.


Archive | 2016

MyVariant.info - build fb2a871

Jiwen Xin; Chunlei Wu; Cyrus Afrasiabi; Adam Mark; Andrew I. Su; Ginger Tsueng


Archive | 2016

MyGene.info web frontend component

Jiwen Xin; Chunlei Wu; Cyrus Afrasiabi; Adam Mark; Andrew I. Su; Ginger Tsueng


Archive | 2016

MyGene.info data backend component

Jiwen Xin; Chunlei Wu; Cyrus Afrasiabi; Adam Mark; Andrew I. Su; Ginger Tsueng


F1000Research | 2018

BioThings Studio: an API gateway for biomedical knowledge

Sebastien Lelong; Cyrus Afrasiabi; Jiwen Xin; Marco Cano; Ginger Tsueng; Andrew I. Su; Chunlei Wu


F1000Research | 2017

BioThings Explorer: utilizing JSON-LD for linking biological APIs to facilitate knowledge discovery

Jiwen Xin; Cyrus Afrasiabi; Sebastien Lelong; Andrew I. Su; Chunlei Wu


F1000Research | 2017

BioThings SDK: a toolkit for building high-performance data APIs in biology

Cyrus Afrasiabi; Sebastien Lelong; Jiwen Xin; Ginger Tsueng; Andrew I. Su; Chunlei Wu


F1000Research | 2016

Biothings APIs: linked high-performance APIs for biological entities

Jiwen Xin; Cyrus Afrasiabi; Sebastien Lelong; Ginger Tsueng; Mike D. Mayers; Sean D. Mooney; Andrew I. Su; Chunlei Wu

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Andrew I. Su

Scripps Research Institute

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Chunlei Wu

Scripps Research Institute

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Cyrus Afrasiabi

Scripps Research Institute

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Ginger Tsueng

Scripps Research Institute

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Sebastien Lelong

Scripps Research Institute

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Adam Mark

Scripps Research Institute

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Sean D. Mooney

University of Washington

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Ali Torkamani

Scripps Research Institute

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Benjamin J. Ainscough

Washington University in St. Louis

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Christopher J. Mungall

Lawrence Berkeley National Laboratory

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