Suchergebnisse - "BIOLOGICAL research methodology"

FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation.

Autoren: Yagi, Takuma Ohashi, Misaki Huang, Yifei et al.

Quelle: International Journal of Computer Vision. Oct2025, Vol. 133 Issue 10, p7352-7367. 16p.

Schlagwörter: *BIOLOGICAL research methodology, *HUMAN activity recognition, *OBJECT recognition (Computer vision), *OBJECT manipulation, *ANNOTATIONS

CREPE (CREate Primers and Evaluate): A Computational Tool for Large-Scale Primer Design and Specificity Analysis.

Autoren: Pitsch, Jonathan W. Wirth, Sara A. Costantino, Nicole T. et al.

Quelle: Genes. Sep2025, Vol. 16 Issue 9, p1062. 13p.

Schlagwörter: *GENE amplification, *BIOLOGICAL research methodology, *SOFTWARE development tools, *DNA probes, *BIOINFORMATICS, *NUCLEOTIDE sequencing, *COMPUTATIONAL biology

Taking evo-devo to the next level.

Autoren: Hlusko, Leslea J.¹ hlusko@berkeley.edu

Quelle: Proceedings of the National Academy of Sciences of the United States of America. 10/14/2025, Vol. 122 Issue 41, p1-3. 3p.

Schlagwörter: *EVOLUTIONARY developmental biology, *BIOLOGICAL research methodology

Relationship between otolith morphometry and fish total length of Chelon auratus from two localities (Mediterranean Sea and Ain Ziana Lake) in Libyan waters.

Autoren: Jawad, Laith A. Elsalini, Osama A. Ibáñez, Ana L.

Quelle: New Zealand Journal of Zoology; Dec2025, Vol. 52 Issue 4, p399-409, 11p

Schlagwörter: SIZE of fishes, REGRESSION analysis, SEAWATER, BIOLOGICAL research methodology, MARINE fishes, MARINE resources conservation, LAKES, OTOLITH organs

Geografische Kategorien: MEDITERRANEAN Sea, LIBYA

Advances in post-processing methods for multiple sequence alignment.

Autoren: Zhai, Yixiao Zhang, Zitong Li, Zhen

Quelle: Frontiers in Genetics; 2025, p1-7, 7p

Schlagwörter: SEQUENCE alignment, MATHEMATICAL optimization, SCIENTIFIC observation, UNIVERSITY research, BIOLOGICAL research methodology

Radiomics reveals the biological basis for non-small cell lung cancer prognostic stratification by reflecting tumor immune microenvironment heterogeneity.

Autoren: Huang, Qing Xu, Nie Yin, Jun et al.

Quelle: Frontiers in Immunology; 2025, p1-17, 17p

Schlagwörter: RADIOMICS, NON-small-cell lung carcinoma, COMPUTED tomography, TUMOR microenvironment, TRANSLATIONAL research, BIOLOGICAL research methodology, PROGNOSIS

Little women: the relevance and reliance on mouse models for mammary gland research and next steps for translation.

Autoren: Bjerre, Laura B. Chalmers, Silke B. Davis, Felicity M.

Quelle: Journal of Mammary Gland Biology & Neoplasia; 11/20/2025, Vol. 30 Issue 1, p1-20, 20p

Schlagwörter: MAMMARY glands, LABORATORY mice, HYPOTHESIS, BIOLOGICAL research methodology, CANCER research, WOMEN'S health, BREASTFEEDING, BIOLOGICAL specimens

Conservation and variability of long-range interactions in structurally diverse maize genomes.

Autoren: Liu, Han Ma, Xuxu Jiang, Siqi et al.

Quelle: Nature Communications; 11/18/2025, Vol. 16 Issue 1, p1-14, 14p

Schlagwörter: CHROMATIN, GENETIC regulation, HETEROGENEITY, HETEROSIS, CORN genetics, GENE regulatory networks, BIOLOGICAL research methodology

ScRDAVis: An R shiny application for single-cell transcriptome data analysis and visualization.

Autoren: Jagadesan, Sankarasubramanian Guda, Chittibabu

Quelle: PLoS Computational Biology; 11/13/2025, Vol. 21 Issue 11, p1-19, 19p

Schlagwörter: VISUALIZATION, RNA sequencing, USER interfaces, DATA visualization, GENE regulatory networks, DATA analysis, BIOLOGICAL research methodology

TRIML2 promotes malignant progression of head and neck squamous cell carcinoma via canonical Wnt signaling and tumor immune escape.

Autoren: Luo, Xi Zhang, Yang Wang, Yingjian et al.

Quelle: Journal of Translational Medicine; 11/13/2025, Vol. 23 Issue 1, p1-19, 19p

Schlagwörter: HEAD & neck cancer, WNT signal transduction, BIOMARKERS, TUMOR-infiltrating immune cells, BIOLOGICAL research methodology, IMMUNOTHERAPY, CELLULAR signal transduction, CANCER invasiveness

A concise guide to fluorescent cell cycle reporters for live-cell imaging.

Autoren: Wang, Jinyu Li, Yige Luo, Jia et al.

Quelle: Frontiers in Cell & Developmental Biology; 2025, p1-10, 10p

Schlagwörter: CELL cycle, FLUORESCENT probes, CELL imaging, CELL analysis, BIOLOGICAL research methodology, CANCER cells

Tapetum uncommon behavior, orbicule development, and pollenkitt: mini-review, with new data on orbicule simulations.

Autoren: Gabarayeva, Nina I.

Quelle: Protoplasma; Nov2025, Vol. 262 Issue 6, p1347-1371, 25p

Schlagwörter: TAPETUM, SPOROPOLLENIN, PALYNOLOGY, BIOLOGICAL research methodology, POLLINATION, MOLECULAR self-assembly, LIFE sciences

Impact of immunophenotype on clinical disease characteristics and outcomes in T‐cell prolymphocytic leukaemia.

Autoren: Poh, Christina Chen, Xueyan Voutsinas, Jenna et al.

Quelle: British Journal of Haematology; Nov2025, Vol. 207 Issue 5, p2143-2146, 4p

Schlagwörter: PROGNOSIS, PROGRESSION-free survival, LYMPHOCYTIC leukemia, BIOLOGICAL research methodology, PHENOTYPES, HEALTH outcome assessment, OVERALL survival, PHENOTYPIC plasticity

WormSNAP: A software for fast, accurate, and unbiased detection of fluorescent puncta in C. elegans.

Autoren: Tiroumalechetty, Araven Frankel, Elisa B. Kurshan, Peri T.

Quelle: PLoS Computational Biology; 10/31/2025, Vol. 21 Issue 10, p1-19, 19p

Schlagwörter: CAENORHABDITIS elegans, IMAGE analysis, FLUORIMETRY, FLUOROPHORES, BIOLOGICAL research methodology, SOFTWARE development tools, DETECTION algorithms, SYNAPSES

Machine learning in biological research: key algorithms, applications, and future directions.

Autoren: Alam, Md Nafis Ul Basava, Kiran Chitransh, Ani et al.

Quelle: BMC Biology; 10/29/2025, Vol. 23 Issue 1, p1-20, 20p

Schlagwörter: MACHINE learning, ALGORITHMS, BIOLOGICAL research methodology, BIOINFORMATICS, PHYLOGENY

BioSet2Vec: extraction of k-mer dictionaries from multiple sets of biological sequences via big data technologies.

Autoren: Galluzzo, Ylenia Giancarlo, Raffaele Rombo, Simona E. et al.

Quelle: BMC Bioinformatics; 10/27/2025, Vol. 26 Issue 1, p1-23, 23p

Schlagwörter: BIG data, BIOINFORMATICS software, NUCLEOTIDE sequence, GENOMICS, PATTERN perception, SEQUENCE analysis, BIOLOGICAL research methodology

Genome-wide identification and functional analysis of the polyamine metabolism-related genes in Foxtail millet (Setaria Italica L.).

Autoren: Hao, Liuan Wang, Tao Wei, Yangyang et al.

Quelle: Functional & Integrative Genomics; 10/24/2025, Vol. 25 Issue 1, p1-11, 11p

Schlagwörter: POLYAMINES, FOXTAIL millet, GENE mapping, BIOLOGICAL research methodology, PLANT growth, SEED development, GENE expression

Recent strategies in target identification of natural products: Exploring applications in chronic inflammation and beyond.

Autoren: Pan, Xian Jiang, Shan Zhang, Xinzhuang et al.

Quelle: British Journal of Pharmacology; Oct2025, Vol. 182 Issue 20, p4841-4860, 20p

Schlagwörter: NATURAL products, INFLAMMATION, DRUG target, BIOLOGICAL research methodology, DRUG discovery, RESEARCH methodology, TREATMENT effectiveness, PROTEOMICS

aMLProt: an automated machine learning library for protein applications Open Access.

Autoren: Xiang, Ruite Domínguez-Dalmases, Christian Cañellas-Solé, Albert et al.

Quelle: Bioinformatics; Oct2025, Vol. 41 Issue 10, p1-7, 7p

Schlagwörter: MACHINE learning, PROTEIN engineering, MODULAR design, ENZYME biotechnology, PREDICTION models, APPLICATION software, BIOLOGICAL research methodology

Biological research on mental pain, social pain and other pains not primarily felt in the body: methodological systematic review.

Autoren: Duranté, Etienne K. Ribeiro, Alexandre Gaspard-Boulinc, Lucie et al.

Quelle: British Journal of Psychiatry; Oct2025, Vol. 227 Issue 4, p707-717, 11p

Schlagwörter: BIOLOGICAL research methodology, EXPERIMENTAL design, MEDICAL practice, OPERATIONAL definitions, PSYCHOLOGICAL distress