Matthew Moss, PhD 🧬

Hey everyone, BiocSwirl is an incredibly cool bioinformatics education project that I've been very fortunate to be a part of. We're about to release some very cool stuff, so if you want to be a part of it from the beginning give this account a follow! twitter.com/bioctools?s=09

Each month an #egg is ovulated from the #ovary, starting the journey of reproduction. But how does ovulation occur?🥚 Our latest work in @NatureCellBio led by @LastChrisThomas and @Tabea_Marx, describes the control of #ovulation using live imaging. bit.ly/3Ya8dEL (1/7)

The first near-complete genome assembly of pig: enabling more accurate genetic research biorxiv.org/cgi/content/sh… #biorxiv_genomic

Today, I'm excited to present the second big chunk of my Ph.D. work. We are building a thorough assessment of the burgeoning field of gene expression forecasting. Something is deeply wrong.🧵 - Preprint: biorxiv.org/content/10.110… - Code: #a-systematic-comparison-of-computational-methods-for-expression-forecasting-with-pereggrn" target="_blank" rel="nofollow noopener">github.com/ekernf01/pertu…

Cost of having DNA methylation: DNA replication by DNA polymerase epsilon is a source of C to T mutations in CpGs, especially methylated ones. This expands our understanding of one of the most widespread endogenous mutational mechanisms. nature.com/articles/s4158…

🎉 The 2025 DNA Day Essay Contest question is here, and it's all about AI in genetic testing! The submission site opens on January 6, 2025, and closes on March 5, 2025. Start preparing now, and visit #ASHG to learn more and submit: ashg.org/dna-day/ #HumanGenetics

STAMP is OUT! Sequencing-free #singlecell RNA and Protein profiling. Game-changing approach for scalable and cost-efficient analysis of single cells. The future starts today! Amazing ⁦@LGMartelotto⁩ ⁦@DrJasPlummer⁩ biorxiv.org/content/10.110…

Impressive study. Such a clear example of why WGS is superior to both exome-seq and array. Bet this will play out for complex disease as well.

Available now via @biorxivpreprint is our preprint on live-cell transcriptomics with engineered virus-like particles @broadinstitute biorxiv.org/content/10.110…

Hello everyone, excited to share our preprint: biorxiv.org/content/10.110… ---- Everyday, cells like this crawl through your body to protect you. While we know that their front 🔴 and back 🔵 polarity programs work together, how exactly do these two processes communicate? Lets chat!

We’re excited to introduce a method for genetic testing in exome-wide association studies: the Sparse Burden Association Test (SBAT). This innovative gene-based approach combines information across different burden tests to boost power and select the most important tests.

🚨 We discovered a new genetic code, "Genetic Code 34," sporadically distributed in archaea. Select archaea have genome-wide recoding of the TAG stop codon to pyrrolysine; the adoption of this code was likely driven by metabolic processes. (1/2) biorxiv.org/content/10.110…

Lab website is now live! Stop by and take a look: izzolab.org

Super excited to share my lab's latest work on quantifying the private information leakage from single cell count matrices. Led by very first postdoc in the g2lab, brilliant @BioConorWalker, we showed that individuals can be reidentified 1/n cell.com/cell/fulltext/…

Thanks for the feature @RockefellerUniv, proud to work at the BRC 🤗🇵🇷👩‍💻

Jenelys Ruiz-Ortiz (@jene_ro) is a Bioinformatics Analyst in the Bioinformatics Resource Center, focusing on single cell RNA sequencing data analysis. She works with scientists across the Rockefeller community on bioinformatics data analysis. #HispanicHeritageMonth

I’m amped to share our new work to decrypt transcriptional repressors, now on bioRxiv: biorxiv.org/content/10.110… We paired deep mutational scans with machine learning to predict and even tune repressor activity. (1/8)

check out @rcvalbuena & @akshat_ai's new preprint on transcriptional repressors! mutational scans of >50 repressors in human cells both 1) characterize potential disease mutations in TFs and 2) trains a sequence-function model of these repressors biorxiv.org/content/10.110…

New paper from my lab: pollution-driven whole-genome duplication events contribute to racial disparities in cancer patient outcome. nature.com/articles/s4146…

In @Josephmrich et al. biorxiv.org/content/10.110…, we assessed the Seurat and Scanpy single-cell packages, finding that they produce very different results on standard analyses. A new paper in @eLife looking at clustering finds the same elifesciences.org/reviewed-prepr…

Beautiful example of a GWAS leading to clear biology with direct therapeutic relevance: