From owner-chemistry@ccl.net Tue Nov 1 23:03:00 2022 From: "Bjoern Sommer bjoern]=[cellmicrocosmos.org" To: CCL Subject: CCL: MolVA 2023 (Deadline Extended) - Special C&G Section on Molecular Graphics and Visual Analytics of Molecular Data Message-Id: <-54812-221101210301-16161-lYH+ONTC6hN3iXFPAvsEfQ-#-server.ccl.net> X-Original-From: Bjoern Sommer Content-Language: en-GB Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset=UTF-8; format=flowed Date: Wed, 2 Nov 2022 01:02:48 +0000 MIME-Version: 1.0 Sent to CCL by: Bjoern Sommer [bjoern(a)cellmicrocosmos.org] Dear Colleagues, -- Please forward this to anyone who might be interested -- -- Apologies for cross-posting -- With this email we would like to inform you about the deadline extension for submissions to the Computers and Graphics Journal (C&G) Special Section on Molecular Graphics and Visual Analytics of Molecular Data. The deadline was extended till November 20, 2022. However we will start the review process immediately after the submission. Therefore if you submit sooner you will also receive the notification sooner (i.e., within 4 weeks from the submission). All accepted papers will be presented at MolVA 2023 Workshop which will be co-located with EuroVis 2023 in Leipzig, Germany. Therefore, at least one of the authors of an accepted paper will have to register and attend the workshop. For more information please see our webpage: http://tinyurl.com/molva Important Dates - Submission Due: November 20, 2022 - First Decision: December 15, 2022 (or withing 4 weeks from your submission) - Revised Papers Due: January 30, 2023 - Final Decision: February 28, 2023 - Publication / Workshop Date: 12-16 June 2023 Suggested topics for papers include, but are not limited to: - Molecular Graphics & Rendering - Web-based Molecular Graphics & Visualization - Immersive Analytics approaches using, e.g., VR/AR technologies - Visual Analysis of Molecular Data (e.g., molecular structures, biological networks and pathways, or omics data) - Visualization of Dynamic Molecular Data & Large Molecular Systems - Machine-learning approaches for analysis of molecular data - Tools papers describing new molecular visualization tools or novel features in existing tools Best regards, Jan Byška, Michael Krone, Björn Sommer MolVA General Chairs