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VizIt framework unifies multi-omic data exploration for biological research

By PulseAugur Editorial · [1 sources] ·

Researchers have developed VizIt, an open-source framework designed to unify the exploration of complex biological data. This framework allows for seamless navigation across different data modalities, including single-cell, spatial transcriptomic, epigenomic, and genetic information. VizIt connects various data-centric views, such as gene, cell type, condition, spatial location, genomic region, and genetic variant, to provide a comprehensive analytical experience. The framework's capabilities are demonstrated through its application in the Parkinson's Cell Atlas, a customizable resource for multi-omic data. AI

IMPACT Facilitates advanced biological research by enabling integrated analysis of complex multi-omic datasets.

RANK_REASON The item describes a new open-source framework for data exploration presented in an arXiv paper. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

VizIt framework unifies multi-omic data exploration for biological research

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The item describes a new open-source framework for data exploration presented in an arXiv paper. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Xianjun Dong ·

    VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online

    Multi-omic studies increasingly require data to be examined from complementary biological perspectives, yet interactive exploration remains fragmented across modalities and tools. We present VizIt, an open-source framework for multi-view exploration of single-cell and spatial tra…

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