Science and Informatics

Do you need high performance computing for your research?

Research continues to generate more and more data, and large-scale data analyses can be complicated, computationally intensive and not suitable for personal computers. When faced with such a problem, what options do researchers have? Researchers can use High Performance Computing (HPC), a powerful technology which makes use of multiple computing processors that work in parallel  [Read more]

Science and Informatics

Best Practices for Reproducible AI Research in Life Sciences – Introducing DOME

In recent years, there has been exponential growth in the use of machine learning (ML) in the life sciences, fueled by increased access to powerful hardware (e.g., GPUs) and high-quality FAIR biodata enabled by the open science movement. One standout example is AlphaFold, which uses ML to predict protein structure from genetic sequences, a breakthrough  [Read more]

Science and Informatics

A Becker Guide for Proteomics Data Repositories Part 3

In the first two parts of this blog series, I introduced the main player in the proteomics data repository ecosystem, the ProteomeXchange (PX) Consortium. Outside of the PX Consortium, there are an additional handful of repositories holding proteomics data. These additional repositories serve special cases or certain scientific communities, but it may be useful for  [Read more]

Science and Informatics

A Becker Guide for Proteomics Data Repositories Part 2

In the first part of this blog series, I provided an overview of the ProteomeXChange (PX) Consortium and introduced its most important member – the PRIDE Database. I also introduced ProteomeCentral, the common portal providing the ability to browse and search all of the public datasets within the PX Consortium member repositories. Here in the  [Read more]

Science and Informatics

A Becker Guide for Proteomics Data Repositories Part 1

Introduction Proteomics, the large-scale study of proteomes, is a highly valuable tool in biomedical research, but because most proteomics approaches are based on mass spectrometry (MS), the analytical chemistry nature can be a barrier to some biologists and physician-scientists. In this series of three blog articles, I would like to introduce MS-based proteomics data by  [Read more]

Mastering Information, Science and Informatics

Tips for Writing NIH Data Management and Sharing Plans

The National Institutes of Health (NIH) requires a Data Management and Sharing Plan (DMSP) in all competing applications that generate scientific data. A DMSP should cover six key elements as outlined in NOT-OD-21-014.  While not required, using a DMSP template helps researchers address all six elements and sub-elements required by the NIH DMS policy. The  [Read more]

Science and Informatics

Check out Dataset Catalog beta from the National Library of Medicine

Earlier this year, the National Library of Medicine (NLM) announced the launch of the beta version of a new online tool called the Dataset Catalog. This tool is intended to be the “PubMed of datasets” to help users search, find and retrieve datasets in multiple repositories through a single, user-friendly interface. Dataset Catalog beta currently  [Read more]

Announcements, Science and Informatics

Check out our New and Improved WUSTL REDCap Confluence Documentation!

The WUSTL REDCap Confluence Documentation recently received a major upgrade following the migration from version 7 and system update to version 14.  The documentation contains several pages of information, shareable links, and tools to help WUSTL REDCap users work more efficiently in the WUSTL Instance of REDCap.  Some highlights include: 1. A new Frequently Asked  [Read more]

Mastering Information, Science and Informatics

How to Make Your Protocols Complete, Interactive, and Citable

Are you frustrated by incomplete methods in publications that lack critical details? Are you seeking a simple solution to document comprehensive step-by-step protocols, complete with information on reagents and equipment, and a dedicated space to note any protocol deviations? In research settings, reproducible experimental methods are of utmost importance. Fortunately, protocols.io offers a solution where  [Read more]

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