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Multi-modal brain data exploration software for imaging transcriptomics: A comparative evaluation and future

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Exploring multi-modal brain data software aids researchers in linking genetic markers to brain function. This review assesses tools for integrating neuroimaging and transcriptomics, guiding selection and development for better brain research.

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Area of Science:

  • Neuroscience
  • Bioinformatics
  • Genomics

Background:

  • Integrating neuroimaging and transcriptomics data offers insights into complex brain phenomena.
  • Challenges exist due to differing data scales and acquisition modalities, requiring specialized tools.
  • Multi-modal brain data exploration software provides a holistic approach to hypothesis generation.

Purpose of the Study:

  • To review and assess current software tools for exploring combined transcriptomic and neuroimaging data.
  • To evaluate these tools based on species coverage, data modalities, integration methods, visualization, and user data handling.
  • To identify current limitations and future directions for imaging transcriptomics analysis software.

Main Methods:

  • Systematic review of existing multi-modal brain data exploration software.
  • Evaluation criteria included species coverage, data modalities, integration approaches, visualization, and user data integration.
  • Analysis of software applicability for example research questions in imaging transcriptomics.

Main Results:

  • Identified various software tools that integrate neuroimaging and transcriptomics data.
  • Assessed the strengths and weaknesses of current tools regarding specific research needs.
  • Highlighted areas for improvement and promising future developments in the field.

Conclusions:

  • Multi-modal brain data exploration software is crucial for linking molecular genetics to brain dynamics.
  • Informed selection of appropriate software can accelerate research in imaging transcriptomics.
  • Further development is needed to address unaddressed workflows and enhance analytical capabilities.