🌟 We finally have a brand new lab webpage, with blog-style articles describing our work, and exciting *open positions* in culturomics and metagenomics!
Please spread the word 🙏
https://t.co/VkxFLQMR4b
https://t.co/PZurTtejTr
Information Geometry Reconciles Discrete and Continuous Variation in Single-Cell and Spatial Transcriptomic Analysis https://t.co/PrWj6jkYDD #biorxiv_bioinfo
Are you still relying on quality values to do QC for genome sequencing data? What if there was an ultra-fast method that does not need quality values or alignments to genomes?
If this sounds interesting, check out our latest preprint w/ @zhenhao_gu:
https://t.co/w6UqsW8NzV
Thrilled to share our labor of love over the last 5 years!
Leveraging long-read metagenomics we identified several previously unknown phage families that are highly prevalent in the human gut microbiome. Lead by @hanrong_chen [1/5] https://t.co/O2P0gw8NZO
New preprint on a surprising question - with a pangenome reference, *what is a genetic variant?*
https://t.co/3CivztB04v
With Pouria Salehi Nowbandani, Shenghan Zhang, Haoyang Hu, and Heng Li @lh3lh3
I am happy to introduce Campolina, a deep neural framework that replaces traditional algorithmic approaches for nanopore signal segmentation and improves segmentation quality for real-time analysis. Preprint and details in the thread👇
K. Friganovic, @BryanHooi1, @msikic
1/7
I am happy to share our new preprint introducing MADRe - a pipeline for Metagenomic Assembly-Driven Database Reduction, enabling accurate and computationally efficient strain-level metagenomic classification.
@msikic, @r_vicedomini, @KrizanovicK
🔗https://t.co/YUq9Xbp2Lm 1/9
GNNome was published in @genomeresearch! This is a novel paradigm for de novo genome assembly based on GNNs. Without explicitly implementing any simplification strategies, it can achieve results comparable or higher than other SOTA tools. Paper, code, and overview are 👇 [1/8]
We finally concluded the meeting. Thanks to all attendees for their scientific contributions and for traveling (near or far) to the meeting! Thanks to the local organizers for the infrastructure and catering, and thanks to the co-organizers @OrensteinYaron@CamilleMrcht!
Super thrilled to share our labor of love from the Asian Skin Microbiome Program! Collected >3,500 skin samples, built metagenomic libraries w/ >70 billion reads and >10TB of data to study population heterogeneity in skin microbiome (200 adults, 18 sites) https://t.co/ZylbJMpvpw
Thrilled to share our latest collaboration with @DasguptaRam's lab! @nokcs@rafaelperes
CAN-Scan: A multi-omic phenotype-driven precision oncology platform identifies prognostic biomarkers of therapy response for colorectal cancer: Cell Reports Medicine https://t.co/qpIA9Ziz0a