Biological Process Modeling
Hidden Markov Model
AI Synthesis & Market Narrative
Hidden Markov Models and related probabilistic approaches are critical in advanced biological research, including understanding cold-induced peptide signaling, tracking genetic changes in glioma progression, and developing new methods for species detection in microbiomes. This indicates a focus on dynamic biological system analysis.
Correlated Linguistic Patterns
["cold-induced peptide signalling"
"pollen resilience"
"crop yield"
"acquired genetic and cell-state changes"
"IDH-mutant glioma progression"
"representational geometry of emotional states"
"basolateral amygdala"
"TIPP-SD"
"species detection in microbiomes"
"maximum likelihood phylogenetic placement"]
Driving Media Context
Cold-induced peptide signalling secures pollen resilience and crop yield
A small-peptide signalling axis involving RGF family members controls resilience to cold stress in tomatoes and rice; modulating this pathway prevents cold-i...
Acquired genetic and cell-state changes in IDH-mutant glioma progression
Longitudinal transcriptomic, chromatin and genomic analyses of the two types of IDH-mutant glioma reveal in detail how disease progression is influenced by i...
The representational geometry of emotional states in basolateral amygdala
O’Neill, Posani and colleagues show that while single amygdala neurons encode multiple emotional state-related variables (for example, valence, fear and safe...
TIPP-SD: A new method for species detection in microbiomes
Author summary We present TIPP-SD, a new method for species detection in microbiome samples. Like its predecessor TIPP3 (PloS Computational Biology 2025), TI...
Membrane bridges and nanodomain partitioning govern membrane protein targeting to lipid droplets
Mizrak et al. use single-molecule tracking to dissect mechanisms of protein targeting to lipid droplets. They show that nanodomain-based confinement drives s...
fiberhmm 2.12.0
Hidden Markov Model for calling chromatin footprints from fiber-seq and DAF-seq data
affective-longing added to PyPI
Emotional extension for AI companions — memory triggers, relationship states, self-emotion.
Patterns and drivers of 43,617 mosaic chromosomal alterations in blood
High-resolution analyses of blood-derived whole-genome sequence data from UK Biobank detect new mosaic chromosomal alterations and identify rare protein-codi...
Symbiotic bacteria may support calcium carbonate precipitation in the Gulf toadfish
Marine fish play a significant yet understudied role in the oceanic carbon cycle through the production of calcium carbonate precipitates. This study of the ...
Unraveling lncRNA diversity at a single cell resolution and in a spatial context across different cancer types
This resource leverages spatial and single-cell transcriptomics to investigate lncRNAs in cancer and reports 94,795 previously unannotated lncRNAs and new ap...
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