46 citations
- Carnegie Institution for ScienceUS4 papers
- Stanford UniversityUS3 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Dignity HealthUS1 paper
- Fundación Biofísica BizkaiaES1 paper
- Harvard UniversityUS1 paper
- Heidelberg Institute for Theoretical StudiesDE1 paper
- Howard Hughes Medical InstituteUS1 paper
- Instituto BiofisikaES1 paper
- James Hutton InstituteGB1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- Rothamsted ResearchGB1 paper
6 papers
PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping
Feng Chen, Ilias Stogiannidis, Andrew Wood +12
Plant phenotyping increasingly relies on (semi-)automated image-based analysis workflows to improve its accuracy and scalability. However, many existing solutions remain overly com…
Interfacial Stresses on Droplet Interface Bilayers Using Two Photon Fluorescence Lifetime Imaging Microscopy
Yaoqi Huang, Vineeth Chandran Suja, Menghao Yang +5
Response of lipid bilayers to external mechanical stimuli is an active area of research with implications for fundamental and synthetic cell biology. However, there is a lack of to…
grenedalf: population genetic statistics for the next generation of pool sequencing
Lucas Czech, Jeffrey P. Spence, Moisés Expósito-Alonso
Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Res…
A note on retrodiction and machine evolution
Gustavo Caetano-Anollés
Biomolecular communication demands that interactions between parts of a molecular system act as scaffolds for message transmission. It also requires an evolving and organized syste…
Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade
Lucas Czech, Alexandros Stamatakis, Micah Dunthorn +1
Phylogenetic placement refers to a family of tools and methods to analyze, visualize, and interpret the tsunami of metagenomic sequencing data generated by high-throughput sequenci…
grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads
Lucas Czech, Moises Exposito-Alonso
Processing high-throughput DNA sequencing data of individuals or populations requires stringing together independent software tools with many parameters, often leading to non-repro…