[{"innerBlocks":[],"name":"core\/freeform","postId":313,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"For the first time, researchers are able to easily share datasets that reveal the function of genomic variants in health and disease\u2014thanks to the launch of a new, open-source database. Developed by American, Australian and Canadian researchers, the database<\/a> is the first publicly accessible repository for multiplex assays of variant effect (MAVE) data, used to interpret the results of experiments that systematically measure the impact of thousands of individual sequence variants on a gene\u2019s function.Previously, MAVE data from experiments has existed in silos. However, MaveDB, which is supported and developed by the University of Washington, the Walter and Eliza Hall Institute of Medical Research and the Brotman Baty Institute, is meant to enhance researchers\u2019 ability to access and interpret complex functional genomic data and yield discoveries into their roles in disease.\u201cMaveDB makes it easier for scientists to share their datasets in a single location, using a flexible format that is applicable to multiple research fields, and enables other scientists to easily access this data to enhance their research,\u201d says Alan Rubin, bioinformatics researcher at Australia\u2019s Walter and Eliza Hall Institute.\u201cWe\u2019ve also ensured MaveDB can \u2018talk\u2019 to other databases to add an extra level of collaborative capacity,\u201d adds Rubin. \u201cFor the growing field of MAVE research, this database is an important step towards open science and reproducibility by ensuring data is made available.\u201d

In addition to creating MaveDB, researchers have developed data visualization software\u2014MaveVis\u2014which makes it easier to understand and interpret the results of MAVE experiments.\u201cMaveVis provides an immediate and consistent display for MAVE data, including valuable annotations such as protein structure information, that will accelerate collaborative research,\u201d according to Rubin.\u201cWe envision that as MaveDB becomes more widely used within the bioinformatics community, other applications will be added that provide new ways to visualize and interpret complex genomics data\u2014 leading to new discoveries that enhance biomedical research,\u201d he concludes. \u201cThis could underpin the development of new medicines or the understanding of how a patient's genomic variants contribute to a disease.\u201dMaveDB and MaveVis are described in more detail in an article<\/a> in the journal Genome Biology<\/i>.","saveContent":"For the first time, researchers are able to easily share datasets that reveal the function of genomic variants in health and disease\u2014thanks to the launch of a new, open-source database. Developed by American, Australian and Canadian researchers, the database<\/a> is the first publicly accessible repository for multiplex assays of variant effect (MAVE) data, used to interpret the results of experiments that systematically measure the impact of thousands of individual sequence variants on a gene\u2019s function.Previously, MAVE data from experiments has existed in silos. However, MaveDB, which is supported and developed by the University of Washington, the Walter and Eliza Hall Institute of Medical Research and the Brotman Baty Institute, is meant to enhance researchers\u2019 ability to access and interpret complex functional genomic data and yield discoveries into their roles in disease.\u201cMaveDB makes it easier for scientists to share their datasets in a single location, using a flexible format that is applicable to multiple research fields, and enables other scientists to easily access this data to enhance their research,\u201d says Alan Rubin, bioinformatics researcher at Australia\u2019s Walter and Eliza Hall Institute.\u201cWe\u2019ve also ensured MaveDB can \u2018talk\u2019 to other databases to add an extra level of collaborative capacity,\u201d adds Rubin. \u201cFor the growing field of MAVE research, this database is an important step towards open science and reproducibility by ensuring data is made available.\u201dIn addition to creating MaveDB, researchers have developed data visualization software\u2014MaveVis\u2014which makes it easier to understand and interpret the results of MAVE experiments.\u201cMaveVis provides an immediate and consistent display for MAVE data, including valuable annotations such as protein structure information, that will accelerate collaborative research,\u201d according to Rubin.\u201cWe envision that as MaveDB becomes more widely used within the bioinformatics community, other applications will be added that provide new ways to visualize and interpret complex genomics data\u2014 leading to new discoveries that enhance biomedical research,\u201d he concludes. \u201cThis could underpin the development of new medicines or the understanding of how a patient's genomic variants contribute to a disease.\u201dMaveDB and MaveVis are described in more detail in an article<\/a> in the journal Genome Biology<\/i>.","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

Database enhances sharing of complex functional genomic data

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