Call For Papers, Abstracts and Demonstrations

The thirtieth Pacific Symposium on Biocomputing (PSB), will be held January 4-8, 2025 at the Fairmont Orchid on the Big Island of Hawaii. PSB will bring together top researchers from North America, the Asian Pacific nations, Europe and around the world to exchange research results and address open issues in all aspects of computational biology. PSB will provide a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. PSB intends to attract a balanced combination of computer scientists and biologists, presenting significant original research, demonstrating computer systems, and facilitating formal and informal discussions on topics of importance to computational biology.

To provide focus for the very broad area of biological computing, PSB is organized into a series of specific sessions. Each session will involve both formal research presentations and open discussion groups.

• AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface
• Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI
• Precision Medicine: Multi-modal and multi-scale methods to promote mechanistic understanding of disease
• Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses
• TBA

Papers and posters

Papers must be submitted to the PSB 2025 paper management system.

The core of the conference consists of rigorously peer-reviewed full-length papers reporting on original work. All accepted papers will be published electronically and indexed in PubMed, and the best of these will be presented orally to the entire conference.

PSB's publisher, World Scientific Publishing (WSP), will initiate submission to PubMed Central (PMC) for accepted papers that must comply with the NIH Public Access Policy. Authors are responsible for ensuring that the manuscript is deposited into the NIHMS upon acceptance for publication. The author must complete all remaining steps in the NIHMS in order for the submission to be accepted.

Per WSP, authors may post their submitted manuscript (preprint) at any time on their personal website, in their company or institutional repository, in not-for-profit subject-based preprint servers or repositories, and on scholarly collaboration networks (SCNs) which have signed up to the STM sharing principles. Please provide the following applicable acknowledgement along with a link to the article via its DOI if available.

• Preprint of an article submitted for consideration in Pacific Symposium on Biocomputing © [Year] World Scientific Publishing Co., Singapore, http://psb.stanford.edu/
• Preprint of an article published in Pacific Symposium on Biocomputing © [Year] World Scientific Publishing Co., Singapore, http://psb.stanford.edu/ (for accepted PSB papers only).

Authors are encouraged to submit preprints (complete and unpublished manuscripts) to bioRxiv and/or medRxiv, these are online archives and distribution services operated by Cold Spring Harbor Laboratory for preprints in the life sciences and health sciences respectively. If you choose to submit your preprint, please ensure that the deposit is made at the time of the paper submission deadline rather than upon acceptance to avoid clashing with bioRxiv and medRxiv policies.

Researchers wishing to present their research at PSB without official publication are encouraged to submit a one page abstract by the abstract/poster submission deadline listed below to present their work in the poster sessions.

Important dates

Paper format

Papers must be submitted to the PSB 2025 paper management system.

The accepted file format is PDF (Adobe Acrobat preferred). Files should be named with the last name of the first author (e.g. altman.pdf). Hardcopy submissions or unprocessed TEX or LATEX files or electronic submissions not submitted through the paper management system will be rejected without review.

Each paper must be accompanied by a cover letter. The cover letter should be the first page of your paper submission. The cover letter must state the following:

• The email address of the corresponding author.
• The specific PSB session that should review the paper.
• The submitted paper contains original, unpublished results, and is not currently under consideration elsewhere.
• All co-authors concur with the contents of the paper.

Submitted papers are limited to twelve (12) pages (NOT including the cover letter, title page with author list, or references) in our publication format. Please format your paper according to instructions found at http://psb.stanford.edu/psb-online/psb-submit/. If figures cannot be easily resized and placed precisely in the text, then it should be clear that with appropriate modifications, the total manuscript length would be within the page limit. Color images are accepted for publication at no additional charge. Supplemental material may be referenced by URL (PSB will not host supplemental material).

Contact PSB (psb.hawaii @ gmail.com) for additional information about paper submission requirements.

Travel support

We have been able to offer partial travel support to many PSB attendees in the past. However, please note that no one is guaranteed travel support. The online travel support application form will open in August.

PSB 2025 Sessions:

Each session has a chair who is responsible for organizing submissions. Please contact the specific session chair relevant to your interests for further information. Links on each of the session titles below lead to more detailed calls for participation for each session.

• AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface
• Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI
• Precision Medicine: Multi-modal and multi-scale methods to promote mechanistic understanding of disease
• Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses
• TBA