Results 91 to 100 of about 188,569 (212)

CodonMoE: DNA language models for codon-dependent mRNA prediction. [PDF]

Bioinformatics
Du S, Liang L, Li J, Kingsford C.
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Discovery and Biosynthesis of the Novel Glycotetrapeptide Antibiotic Biffamycin A

Angewandte Chemie, EarlyView.
Genetic de‐regulation of a silent biosynthetic pathway allowed isolation and characterisation of a novel glycopeptide antibiotic named biffamycin A, which harbours unprecedented 5‐chloro‐4‐methoxy tryptophan and 3R‐hydroxy(α‐D‐mannoysl)‐D‐lysine moieties and is bioactive against MRSA and VRSA.
Michael W. Brigham, Edward S. Hems, Daniel C. L. Van, Justin E. Clarke, Sergey Nepogodiev, Julius S. P. Adamson, Christian Bassi, Michael E. Webb, Glyn R. Hemsworth, Orde Q. Munro, Barrie Wilkinson, Ryan F. Seipke   +11 more
wiley   +2 more sources

AgrOmicSo: A client-server interface for accessible large-scale analysis of next-generation sequencing data. [PDF]

PLoS One
Lee DJ, Lee TH, Kwon T.
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Promiscuity‐Guided Enzyme Evolution via Substrate Multiplexed Screening

Angewandte Chemie, EarlyView.
Through historical context and recent examples, this Minireview summarizes the strengths, limitations, and practical considerations for the implementation of substrate multiplexed screening (SUMS) in enzyme evolution. ABSTRACT An enzyme's ability to react with diverse substrates while maintaining high yield and selectivity, termed “substrate ...
Holly A. Weilbaker, Meghan E. Campbell, Peyton M. Higgins, Andrew R. Buller   +3 more
wiley   +2 more sources

anndataR improves interoperability between R and Python in single-cell transcriptomics. [PDF]

Bioinformatics
Deconinck L, Zappia L, Cannoodt R, Morgan M, Virshup I, Sang-Aram C, Bredikhin D, Schilder B, Seurinck R, Saeys Y, scverse core .   +10 more
europepmc   +1 more source

Training for bioinformatics and computational biology [PDF]

Bioinformatics, 2001
openaire   +2 more sources

De Novo Complex Genomic Rearrangement Spanning 2q31.1 in a Proband With Congenital Malformations: Genotype–Phenotype Correlation and Development of a CGR Detection Pipeline

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The 2q31 region is commonly associated with pathogenic alleles of the HOXD cluster leading to various clinical phenotypes related to skeletal development. We present a proband with tetralogy of Fallot and multiple congenital anomalies. Genomic variant screening including an in‐house CGR detection pipeline pairing genome sequencing (GS ...
Katherine Helle, Jesse D. Bengtsson, Mira Gandhi, Christopher M. Grochowski, Ming Yin Lun, Neha Sudhir, Shalini N. Jhangiani, Fritz J. Sedlazeck, Seema R. Lalani, Neil A. Hanchard, Claudia M. B. Carvalho   +10 more
wiley   +1 more source

NEFFy: a versatile tool for computing the number of effective sequences. [PDF]

Bioinformatics
Haghani M, Bhattacharya D, Murali TM.
europepmc   +1 more source