Crossroads The ACM Magazine for Students

Sign In

Association for Computing Machinery

Magazine: Winter 2023 | Volume 30, No. 2

SECTION: Features

From Geospatial to Spatial -Omics

When Los Angeles is mentioned, cycling is usually not the first thing that comes to mind. However, during my past 10 years in LA studying molecular biology and bioinformatics, my bike trips through the geographical space of LA have inspired many ideas in my research in spatial data analysis in bioinformatics. I have written software to bring decades of research in geospatial data analysis to spatial -omics, as my trips make me ponder on spatial phenomena in general.

By Lambda Moses

HTML | In the Digital Library
Tags: Bioinformatics, Computational biology, Spatial-temporal systems


Unsupervised Learnings of Protein Large Language Models for Make Benefit Glorious Sector of Biotech

Protein language models were nurtured by unlikely parents---corporations. Now that they have come of age, they have been forced to strike out on their own. A common pitfall that biotechnology platforms make is to attempt to solve as many problems, all at once, while in reality solving none. Whether these fledgling protein LLM companies will learn from the mistakes of their industry predecessors remains to be seen.

By Albin Hartwig

HTML | In the Digital Library
Tags: Computing industry, Life and medical sciences

Inferring Phylogenetic Networks Using Algebraic Geometry

Reconstructing the network of life from molecular data is a complicated task. How can computational algebraic geometry play a role?

By Elizabeth Gross, John Rhodes

HTML | In the Digital Library
Tags: Genomics, Molecular evolution

Harnessing the Power of Statistics and Machine Learning in the Era of Biobank-Scale Whole-Genome Sequencing and Multi-Omics Studies

Researchers are developing new statistical and machine learning methods to effectively integrate biobank-scale whole-genome sequencing multi-omics and electronic health records data to better understand the molecular basis of complex human diseases.

By Xihao Li

HTML | In the Digital Library
Tags: Genomics, Machine learning approaches, Open source software


Enhancing Rigor in Computational Methods for Biological Data Analysis

When you use the most popular computational methods for biological data analysis, have you checked whether their models are reasonable in your settings?

By Xinzhou Ge

HTML | In the Digital Library
Tags: Bioinformatics, Computational biology, Cross-computing tools and techniques