Connect · Collaborate · Advance
Bioinformatics.net
Bioinformatics.net is a member-based organization bringing together researchers, professionals, and organizations to advance the field of bioinformatics and computational biology.
Connect · Collaborate · Advance
Bioinformatics.net is a member-based organization bringing together researchers, professionals, and organizations to advance the field of bioinformatics and computational biology.
A snapshot of membership, curated resources, and open roles across the Bioinformatics.net community.
12
Members
Researchers and professionals across academia, clinics, and industry
2,001
Resources
Glossaries, data viewers, directories, and reference cards
64
Active job posts
Open roles listed by labs, cores, and biotech teams
“Bioinformatics.net has been an invaluable resource for connecting with peers, finding collaborators, and staying current with the latest developments in the field.”
Dr. Priya Natarajan
Computational Biologist, Genentech
“The directories and reference cards save our lab hours every week. I send new hires here before I send them a wiki page.”
James Okonkwo
Bioinformatics Engineer, Broad Institute
“Submitting a job post and finding workshop speakers in one place is the reason we keep our professional membership.”
Elena Voss
Core Facility Lead, University of Edinburgh
Featured
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The 2026 Bioinformatics.net Annual Conference will convene researchers, clinicians, and industry partners in San Diego for three days of talks on single-cell analysis, AI-assisted genomics, and community infrastructure. The program is designed for both wet-lab scientists who need clearer computational partnerships and software engineers who want deeper biological context.
Sessions will span invited keynotes, parallel scientific tracks, and hands-on workshops covering quality control, annotation, cloud workflows, and reproducible reporting. Morning plenaries set shared themes for the day, while afternoon breakouts let attendees dig into methods that match their lab’s maturity and tooling stack. Evening networking is structured around affinity tables so newcomers can meet peers working on similar problems.
Abstract submissions are now open to members, with early registration discounts available through the end of the year. Authors may propose short talks, posters, or tool demos; reviewers will prioritize clarity, open artifacts, and practical reuse. Accepted presenters receive guidance on slide templates, dataset licensing notes, and how to link supporting materials from the conference site.
Attendees can expect curated networking, exhibitor demos, and a closing panel on open science practice. Hotel blocks near the venue will be announced with registration, and travel support applications for students and early-career members open next month. Full agenda updates will appear here as tracks are finalized.
A community working group reviewed recent machine-learning methods for variant interpretation and highlighted open datasets that members can reuse in their own pipelines. The goal was not to crown a single winner, but to map where models help, where they struggle, and what labs should verify before adopting a method in production.
The summary walks through benchmark choices, common failure modes on rare variants, and practical notes on when classical statistical approaches still outperform deep models. Contributors compared calibration, compute cost, and how well methods transfer across ancestries and assay platforms. Several case studies show how small label errors or batch effects can inflate apparent accuracy if evaluation sets are not held out carefully.
Companion notebooks and dataset links will be posted in the Resources section for members who want to reproduce the examples. Each notebook includes environment files, a short README, and suggested negative controls so teams can stress-test claims against their own cohorts. Feedback from the first review round already improved the reporting checklist for future methods notes.
The working group will host a follow-up office hour for members who want help adapting the evaluation protocol. Questions about licensing, clinical caveats, or contribution guidelines can be sent through the contact form with the subject line “AI genomics review.”
Poster and talk abstracts are invited through January for the 2026 annual meeting. We welcome submissions from academic labs, clinical groups, biotech teams, and independent practitioners who want to share methods that others can actually run.
Preference is given to reproducible workflows, shared data resources, and teaching materials that other labs can adopt without proprietary lock-in. Submissions may cover methods, tooling, clinical applications, or community infrastructure, and authors can indicate whether they prefer a short talk or poster. Abstracts should state the problem, approach, evidence of reuse, and any limitations reviewers should weigh.
Reviewers will prioritize clarity, open artifacts, and relevance to practicing bioinformaticians. Supplementary links to repositories, protocols, or reference cards are encouraged and will be linked from the program once talks are accepted. Notification of acceptance is expected in early spring, with camera-ready updates due several weeks before the meeting.
Members who are unsure whether a project fits can browse last year’s themes or ask an editor for a quick fit check. Travel awards and childcare stipends will be announced alongside acceptance letters so presenters can plan early.
Dr. Priya Natarajan, a computational biologist at Genentech, talks about how community directories and events helped her find collaborators and stay current with methods outside her immediate team. Her work sits at the intersection of production genomics pipelines and exploratory method development, which means she constantly evaluates whether a new tool is ready for wider adoption.
In this spotlight she shares how she evaluates new tools, mentors junior analysts, and balances delivery timelines with the curiosity that keeps a group innovative. She describes a lightweight review checklist her team uses for packaging, documentation, and failure modes before promoting a method from a notebook into a shared service. She also reflects on the value of shared glossaries and job boards when hiring across specialties that do not share the same vocabulary.
Priya credits early conference hallway conversations and directory lookups for introductions that later became co-authored work. She encourages members to publish short notes, not only polished papers, so others can learn from partial progress. The full interview covers her path into industry, advice for members building a first public portfolio, and how she protects focus time while staying visible in the community.
A condensed version of her reading list and hiring prompts will be added to the Resources section next week for members who want to reuse the same framing with their own teams.