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Leveraging human microbiomes for disease prediction and treatment
HA Tegegne, TC Savidge - Trends in Pharmacological Sciences, 2024 - cell.com
The human microbiome consists of diverse microorganisms that inhabit various body sites.
As these microbes are increasingly recognized as key determinants of health, there is …
As these microbes are increasingly recognized as key determinants of health, there is …
Graph-based self-supervised learning for repeat detection in metagenomic assembly
Repetitive DNA (repeats) poses significant challenges for accurate and efficient genome
assembly and sequence alignment. This is particularly true for metagenomic data, in which …
assembly and sequence alignment. This is particularly true for metagenomic data, in which …
[HTML][HTML] Protocol for the construction and functional profiling of metagenome-assembled genomes for microbiome analyses
Constructing metagenome-assembled genomes (MAGs) from complex metagenomic
samples involves a series of bioinformatics operations, each requiring deep bioinformatics …
samples involves a series of bioinformatics operations, each requiring deep bioinformatics …
Capturing variation in metagenomic assembly graphs with MetaCortex
Motivation The assembly of contiguous sequence from metagenomic samples presents a
particular challenge, due to the presence of multiple species, often closely related, at varying …
particular challenge, due to the presence of multiple species, often closely related, at varying …
KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome
The microbes present in the human gastrointestinal tract are regularly linked to human
health and disease outcomes. Thanks to technological and methodological advances in …
health and disease outcomes. Thanks to technological and methodological advances in …
SeqScreen-Nano: a computational platform for streaming, in-field characterization of microbial pathogens
The COVID-19 pandemic forever underscored the need for bio-surveillance platforms
capable of rapidly detecting emerging pathogens. Oxford Nanopore Technology (ONT) …
capable of rapidly detecting emerging pathogens. Oxford Nanopore Technology (ONT) …
Scalable Implicit Graphon Learning
Graphons are continuous models that represent the structure of graphs and allow the
generation of graphs of varying sizes. We propose Scalable Implicit Graphon Learning …
generation of graphs of varying sizes. We propose Scalable Implicit Graphon Learning …
[HTML][HTML] Substitution of Soybean Meal with Azolla pinnata Meal Improves Gut Histomorphology and Growth Performance in Commercial Broilers
The rising cost and environmental impact of conventional protein sources in poultry feed
necessitate exploration of sustainable alternatives. Azolla pinnata (AP), a nutrient-rich …
necessitate exploration of sustainable alternatives. Azolla pinnata (AP), a nutrient-rich …
GraSSRep: Graph-Based Self-supervised Learning for Repeat Detection in Metagenomic Assembly
Repetitive DNA (repeats) poses significant challenges for accurate and efficient genome
assembly and sequence alignment. This is particularly true for metagenomic data, where …
assembly and sequence alignment. This is particularly true for metagenomic data, where …
SeqScreen-Nano: a computational platform for rapid, in-field characterization of previously unseen pathogens
The COVID-19 pandemic forever underscored the need for biosurveillance platforms
capable of rapid detection of previously unseen pathogens. Oxford Nanopore Technology …
capable of rapid detection of previously unseen pathogens. Oxford Nanopore Technology …