• Yue Li, MemVerge, United States

In 2009, a typical study involved a single modality and 100 cells. Today, it’s common for dozens of
studies to be performed against 1,000,000 cells. This exponential growth of data and modalities has
caused time-to-discovery to slow as loading, saving, replicating, and recovering hundreds of gigabytes,
or even terabytes, of data to/from storage takes minutes to hours.
The new category of Big Memory Computing consists of DRAM and much lower-cost persistent memory
virtualized into a pool of software-defined memory.
Once the memory is virtualized, in-memory snapshots allow terabytes of bioscience data to be loaded,
saved, replicated, and recovered in seconds. This allows bioinformatics consisting of massive data sets at
the speed of memory, and it transforms memory into a high-availability data storage tier.
In this presentation, MemVerge shows how Analytical Biosciences, Penn State University, SeekGene, and
TGen accelerated their time-to-discovery, and/or increased the availability of their genomic analytic
pipelines by implementing Big Memory Computing.

• Aaron Watters, Flatiron Institute, United States

This talk introduces the H5Gizmo infrastructure for building scientific visualization dashboards connecting a Python based parent process to a Javascript/HTML based user interface. The talk illustrates the basic usage of the infrastructure using simple code examples. The talk also describes how researchers have used this technology to analyze four dimensional image sequences of developing mouse embryos.

• Mark Keller, Harvard Medical School, United States
• Ilan Gold, Harvard Medical School, United States
• Chuck McCallum, Harvard Medical School, United States
• Trevor Manz, Harvard Medical School, United States
• Peter Kharchenko, Harvard Medical School, United States
• Nils Gehlenborg, Harvard Medical School, United States

We demonstrate Vitessce, a framework for visualization of multi-modal and spatially-resolved single-cell data. Integrative visualization enables multiple data modalities from one or more experiments of interest to be explored simultaneously. Vitessce can be used in the browser via JS or in computational notebooks via Python or R.

• Ben Busby, DNAnexus, United States

Do you have a data science tool you’d like to see people (including yourself) use at scale on the UK Biobank Research Analysis Platform? Are you interested in how your tool could easily scale to encompass hundreds of thousands of exomes and genomes, each linked to thousands of phenotypes, accelerometry data, lipoproteomic data, as well as laboratory tests and millions of images? This workshop will cover how to wrap your tool efficiently so it can be run on these platforms in a way thats easy for users to leverage! Do you want to learn how to leverage existing tools and data on the platform? A brief overview of how to analyze the data will also be given! Are you a computational biologist who wants to use your WDL or CWL pipeline on the platform? All of these things, as well as sharing pipelines with translational researchers in academia, government and industry will be covered! Please bring a laptop if you would like to follow along!

• Teodoro Laino, IBM Research, Switzerland

AI has established itself as a valuable complement to human knowledge and creativity in organic chem...

• Mona Mona, Google, United States
• Michelle Holko, Google, United States

Cloud computing offers scalable storage and compute, built-in tools, security, and features for biom...

• Jiaji Chen, Boston University, United States

Advances in spatial biology profiling technologies are generating unprecedentedly large and informat...

• Ryan Looney, Overleaf, United Kingdom

Overleaf is a free, collaborative, cloud-based LaTeX editor which makes the process of writing, editing and publishing scientific documents quicker and easier — think Google Docs for Science. This presentation will provide an overview of the Overleaf platform and the solutions available for authors, researchers, institutions, and organizations.

Overleaf’s intuitive online platform has seen rapid adoption across science and research, and this award-winning collaboration technology is now in use by over 10 million researchers, students and technical writers in institutions, labs and industry worldwide. Providing a first-class experience to all users, whether they're just starting out or have been writing papers for years, is a key part of what makes Overleaf the market leader and a much loved service for millions worldwide.

• Tom Sinden, F1000, United Kingdom

In this talk, we will discuss alternative holistic approaches to publishing research in more detail, how we at F1000 define Open Research, and the benefits to the ISCB community of the Bioinformatics Gateway. The traditional approach to academic publishing supports researchers in publishing highly novel work with defined impact. Typically, this occurs at the end of a research programme, which, although important, places the emphasis on the results of research, as opposed to the research question, the methods followed and how the data was analysed and interpreted.

More recently, institutes and funders have begun to encourage and mandate for researchers to collate and disseminate not just their final research paper, but additionally their methodology, their data, their sources, etc. – essentially all elements of the research process are now publishable outputs. The research industry is battling the reproducibility crisis and shifting towards a greater level of openness and transparency is an important step in addressing this.

Academic publishing has adapted to reflect the needs of the research community, alternative holistic approaches to publishing all research outputs now exist as a viable alternative to the traditional journal model. F1000Research is one such example of this and has affiliated with the ISCB to launch the Bioinformatics Gateway, a venue for all research in the field of bioinformatics to be published openly, at speed, transparently, reproducibility and with minimal barriers for the community.

F1000Research Bioinformatics Gateway - https://f1000research.com/bioinformaticsgw

• Bajuna Salehe, University of Reading, United Kingdom

In this technology track session, we will demonstrate how to use the IntFOLD webserver to predict protein structures and functions. We will present significant updates to the server back end and key features that aim to improve performance in tertiary structure predictions and the client-side usability features

• Michael Sternberg, Imperial College London, United Kingdom

The Phyre2( http://www.sbg.bio.ic.ac.uk/phyre2/) server predicts protein structure from sequence. Missense3D ( http://missense3d.bc.ic.ac.uk/ ) is a server to analyse the structural impact of a missense variants with results for ~4M human variants within Missense3D-DB. The GWYRE (http://www.gwyre.org/ ) database maps missense variants to experimental and predicted protein complexes.

• Nicola Bordin, University College London, United Kingdom

An update on the 70% data expansion available in CATH following the release from the AlphaFold Prote...

• Martyna Ciepielak, MDPI AG, Poland

Life (ISSN 2075-1729) is an international open access journal that publishes scientific studies related
to fundamental themes in Life Sciences. Other areas of interest include Biochemistry, Biophysics
and Computational Biology. The journal is published monthly online by MDPI.

• Enolia Marr

TBD