Science and Informatics

Getting Started with Python Learning Using Jupyter and AI

By Maze Ndukum — January 27, 2026

Are you new to Python programming? Python is a free open-source programming language that supports multiple approaches to programming including object-oriented programming, scripting and automation. It is widely used for web development, data science and machine learning. Whether your goal is data analysis, building applications, or automating tasks, python offers an extensive library ecosystem and [Read more]

Tips for Submitting RNA-seq Data to GEO

By Xing Jian — January 22, 2026

We have received several inquiries about depositing RNA-seq data generated by WashU’s Genome Technology Access Center (GTAC) into the Gene Expression Omnibus (GEO) repository managed by the National Center for Biotechnology Information (NCBI). As a result, it is a good time to write a blog article providing guidance on this issue for researchers on campus. [Read more]

Science and Informatics

Do you need high performance computing for your research?

By Maze Ndukum — August 14, 2025

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

By Seonyoung Kim — May 21, 2025

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

By Xing Jian — January 24, 2025

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

Where can you find free bioinformatics and genomics training resources on campus?

By Maze Ndukum — January 22, 2025

A plethora of learning resources for bioinformatics and genomics are available on the web, but did you know that you can find a wide variety of free learning resources on campus here at WashU? Do you need to learn fundamentals of bioinformatics and computational genomics? Are you interested in learning more about techniques and tools [Read more]

Science and Informatics

A Becker Guide for Proteomics Data Repositories Part 2

By Xing Jian — December 13, 2024

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

By Xing Jian — November 15, 2024

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]

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Mastering Information, Science and Informatics

Tips for Writing NIH Data Management and Sharing Plans

By Seonyoung Kim — June 18, 2024

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

By Xing Jian — May 6, 2024

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]

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