Details

Autor(en) / Beteiligte

• Goodstadt, Mike N.
• Marti-Renom, Marc A.

Titel

Communicating Genome Architecture: Biovisualization of the Genome, from Data Analysis and Hypothesis Generation to Communication and Learning

Ist Teil von

• Journal of molecular biology, 2019-03, Vol.431 (6), p.1071-1087

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2019

Quelle

MEDLINE

Beschreibungen/Notizen

• Genome discoveries at the core of biology are made by visual description and exploration of the cell, from microscopic sketches and biochemical mapping to computational analysis and spatial modeling. We outline the experimental and visualization techniques that have been developed recently which capture the three-dimensional interactions regulating how genes are expressed. We detail the challenges faced in integration of the data to portray the components and organization and their dynamic landscape. The goal is more than a single data-driven representation as interactive visualization for de novo research is paramount to decipher insights on genome organization in space. [Display omitted] •Integrated research reveals multiscale, multifaceted, dynamic genome architecture.•Current tools are challenged by the multivariant 3D data and spatial models.•Visualization research can help explore novel visual grammar and interactions.•These integrative, predictive tools will transform analysis and communication.