Search Results - anzsrc-for: 3102 ((bioinformatics OR informatika) OR informatica) and computational biology

How mandibular and hyoid morphology alters tongue muscle architecture in healthy adults: An anatomical atlas and statistical shape model of the tongue

Authors: Lloyd, RA Dissanayake, E Jugé, L et al.

Source: urn:ISSN:0010-4825 ; urn:ISSN:1879-0534 ; Computers in Biology and Medicine, 189, 110006-110006

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 4203 Health Services and Systems, 42 Health Sciences, 46 Information and Computing Sciences, 4601 Applied Computing, Biomedical Imaging, Dental/Oral and Craniofacial Disease, Clinical Research, Humans, Tongue, Male, Female, Adult, Hyoid Bone, Mandible, Magnetic Resonance Imaging, Models, Anatomic, Young Adult, Diffusion Magnetic Resonance Imaging, DWI, MRI, Muscle architecture, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 4203 Health Services and Systems, anzsrc-for: 42 Health Sciences, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4601 Applied Computing

File Description: application/pdf

Relation: https://hdl.handle.net/1959.4/104552; https://doi.org/10.1016/j.compbiomed.2025.110006

Availability: https://hdl.handle.net/1959.4/104552
https://unsworks.unsw.edu.au/bitstreams/c5e53fcc-256f-485d-9ea2-bde0f2ddc61f/download
https://doi.org/10.1016/j.compbiomed.2025.110006

Selective intrafascicular stimulation of myelinated and unmyelinated nerve fibers through a longitudinal electrode: A computational study

Authors: Wang, X Zhang, Y Guo, T et al.

Source: urn:ISSN:0010-4825 ; urn:ISSN:1879-0534 ; Computers in Biology and Medicine, 176, 108556-108556

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 4203 Health Services and Systems, 42 Health Sciences, 46 Information and Computing Sciences, 4601 Applied Computing, Neurosciences, Animals, Nerve Fibers, Myelinated, Unmyelinated, Rats, Electric Stimulation, Nanotubes, Carbon, Models, Neurological, Sciatic Nerve, Electrodes, Computational modeling, Intrafascicular electrical stimulation, Longitudinal electrode, Peripheral nerve, Selective activation, Unmyelinated C fiber, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 4203 Health Services and Systems, anzsrc-for: 42 Health Sciences, anzsrc-for: 46 Information and Computing Sciences

Relation: http://hdl.handle.net/1959.4/102145; https://doi.org/10.1016/j.compbiomed.2024.108556

Availability: http://hdl.handle.net/1959.4/102145
https://doi.org/10.1016/j.compbiomed.2024.108556

Metabolic and mitochondria alterations induced by SARS‐CoV‐2 accessory proteins ORF3a, ORF9b, ORF9c and ORF10

Authors: López-Ayllón, BD Marin, S Fernández, MF et al.

Contributors: López-Ayllón, BD Marin, S Fernández, MF et al.

Source: Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
Dipòsit Digital de la UB
Universidad de Barcelona
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)

Subject Terms: anzsrc-for: 1108 Medical Microbiology, Coronaviruses, ORF3a, ORF9c, ADN mitocondrial, 3101 Biochemistry and Cell Biology, ORF9b, Viroporin Proteins, Genome‐scale metabolic modeling, 3102 Bioinformatics and Computational Biology, transcriptomics, Open Reading Frames, Viral Proteins, ORF10, Genetics, 2.1 Biological and endogenous factors, Metabolomics, Humans, Viral Regulatory and Accessory Proteins, anzsrc-for: 31 Biological Sciences, Transcriptomics, Nutrition, genome‐scale metabolic modeling, SARS-CoV-2, anzsrc-for: 3101 Biochemistry and Cell Biology, COVID-19, 3 Good Health and Well Being, anzsrc-for: 3107 Microbiology, metabolomics, Mitochondrial DNA, Mitochondria, 3. Good health, anzsrc-for: 3207 Medical microbiology, mitochondria, Infectious Diseases, Emerging Infectious Diseases, anzsrc-for: 0605 Microbiology, Metabolòmica, anzsrc-for: 3202 Clinical sciences, A549 Cells, anzsrc-for: 3102 Bioinformatics and Computational Biology, Transcriptome, 31 Biological Sciences

File Description: application/pdf; text/xml

Access URL: https://pubmed.ncbi.nlm.nih.gov/38949191
https://hdl.handle.net/2445/218002
http://hdl.handle.net/10261/363197

System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study

Authors: Chowdhury, UN Ahmad, S Islam, MB et al.

Contributors: Chowdhury, UN Ahmad, S Islam, MB et al.

Source: urn:ISSN:1932-6203 ; PLoS ONE, 16, 5 May, e0250660

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 3105 Genetics, Neurodegenerative, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Dementia, Acquired Cognitive Impairment, Aging, Brain Disorders, Genetics, 2.1 Biological and endogenous factors, Neurological, Humans, Computational Biology, Comorbidity, Alzheimer Disease, Neurodegenerative Diseases, Systems Biology, Gene Ontology, Gene Expression Profiling, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics

File Description: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_76368; https://doi.org/10.1371/journal.pone.0250660

Availability: http://hdl.handle.net/1959.4/unsworks_76368
https://unsworks.unsw.edu.au/bitstreams/56e91123-d01c-4298-856d-0590197a11c5/download
https://doi.org/10.1371/journal.pone.0250660

Topological barrier to Cas12a activation by circular DNA nanostructures facilitates autocatalysis and transforms DNA/RNA sensing

Authors: Deng, F Li, Y Yang, B et al.

Source: urn:ISSN:2041-1723 ; Nature Communications, 15, 1, 1818

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Biotechnology, Genetics, Infectious Diseases, Cancer, DNA, Circular, RNA, CRISPR-Cas Systems, Guide, Helicobacter pylori, Nanostructures, Ribonucleoproteins, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology

File Description: application/pdf

Relation: https://hdl.handle.net/1959.4/102737

Availability: https://hdl.handle.net/1959.4/102737
https://unsworks.unsw.edu.au/bitstreams/a7b2ee9b-81f2-4989-b26c-82378b07fda0/download
https://doi.org/10.1038/s41467-024-46001-8

The activity of early-life gene regulatory elements is hijacked in aging through pervasive AP-1-linked chromatin opening

Authors: Patrick, Ralph Naval-Sanchez, Marina Deshpande, Nikita et al.

Source: urn:ISSN:1550-4131 ; urn:ISSN:1932-7420 ; Cell Metabolism, 36, 8, 1858-1881.e23

Subject Terms: 3101 Biochemistry and Cell Biology, 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Genetics, Aging, Human Genome, 1.1 Normal biological development and functioning, Animals, Transcription Factor AP-1, Chromatin, Mice, Humans, Inbred C57BL, Binding Sites, AP-1, CTCF, cell identity, development, maturation, polycomb repressive complex 2, redistribution, transcription factors, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 1101 Medical Biochemistry and Metabolomics, anzsrc-for: 3205 Medical biochemistry and metabolomics

Relation: http://hdl.handle.net/1959.4/102642; https://doi.org/10.1016/j.cmet.2024.06.006

Availability: http://hdl.handle.net/1959.4/102642
https://doi.org/10.1016/j.cmet.2024.06.006

Pan-human consensus genome significantly improves the accuracy of RNA-seq analyses

Authors: Benjamin Kaminow Sara Ballouz Jesse Gillis et al.

Source: Genome Res

Subject Terms: Genome, Consensus, Genome, Human, Human Genome, Method, Genomics, 3105 Genetics, 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics, Cancer Genomics, anzsrc-for: 11 Medical and Health Sciences, Exome Sequencing, Genetics, anzsrc-for: 06 Biological Sciences, Humans, RNA-Seq, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Cancer, Human

File Description: application/pdf

Access URL: https://genome.cshlp.org/content/early/2022/03/07/gr.275613.121.full.pdf
https://pubmed.ncbi.nlm.nih.gov/35256454

Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues

Authors: Duy Pham Xiao Tan Brad Balderson et al.

Source: Nat Commun
Nature Communications, Vol 14, Iss 1, Pp 1-25 (2023)

Subject Terms: Neural Networks, 1.1 Normal biological development and functioning, Science, Gene Expression Profiling, Bioengineering, Cell Communication, Article, 3102 Bioinformatics and Computational Biology, Computer, Networking and Information Technology R&D (NITRD), Genetics, 2.1 Biological and endogenous factors, Neural Networks, Computer, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, Gene Expression Profiling/methods, Transcriptome, Software, Algorithms, 31 Biological Sciences, Cancer

Access URL: https://pubmed.ncbi.nlm.nih.gov/38007580
https://doaj.org/article/90386dc9c14b4450ad2ce44635d342ec

A robust experimental and computational analysis framework at multiple resolutions, modalities and coverages

Authors: Tran, M Yoon, S Teoh, M et al.

Source: urn:ISSN:1664-3224 ; Frontiers in Immunology, 13, 911873

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 32 Biomedical and Clinical Sciences, 3105 Genetics, 3204 Immunology, 3211 Oncology and Carcinogenesis, Human Genome, Genetics, Biotechnology, Cancer Genomics, Cancer, Bioengineering, Ligands, RNA, Sequence Analysis, Single-Cell Analysis, Transcriptome, cell-cell interaction, data integration, interaction analysis, skin cancer, spatial, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3105 Genetics, anzsrc-for: 3204 Immunology, anzsrc-for: 3211 Oncology and Carcinogenesis, anzsrc-for: 1107 Immunology, anzsrc-for: 1108 Medical Microbiology

Relation: http://hdl.handle.net/1959.4/102694; https://doi.org/10.3389/fimmu.2022.911873

Availability: http://hdl.handle.net/1959.4/102694
https://doi.org/10.3389/fimmu.2022.911873

The RNA Atlas expands the catalog of human non-coding RNAs

Authors: Justine Nuytens Pavel Sumazin Gary P. Schroth et al.

Source: Lorenzi, L, Chiu, H S, Avila Cobos, F, Gross, S, Volders, P J, Cannoodt, R, Nuytens, J, Vanderheyden, K, Anckaert, J, Lefever, S, Tay, A P, de Bony, E J, Trypsteen, W, Gysens, F, Vromman, M, Goovaerts, T, Hansen, T B, Kuersten, S, Nijs, N, Taghon, T, Vermaelen, K, Bracke, K R, Saeys, Y, De Meyer, T, Deshpande, N P, Anande, G, Chen, T W, Wilkins, M R, Unnikrishnan, A, De Preter, K, Kjems, J, Koster, J, Schroth, G P, Vandesompele, J, Sumazin, P & Mestdagh, P 2021, 'The RNA Atlas expands the catalog of human non-coding RNAs', Nature Biotechnology, vol. 39, no. 11, pp. 1453-1465. https://doi.org/10.1038/s41587-021-00936-1
Nature Biotechnology

Subject Terms: RNA, Untranslated, Human Genome, Messenger, Untranslated, 3105 Genetics, 3. Good health, 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics, MicroRNAs, Genetics, 2.1 Biological and endogenous factors, RNA, Humans, Long Noncoding, RNA, Long Noncoding, Generic health relevance, RNA, Messenger, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, Transcriptome, 31 Biological Sciences, Biotechnology

Access URL: https://zenodo.org/record/5909808/files/s41587-021-00936-1.pdf
https://pubmed.ncbi.nlm.nih.gov/34140680
https://www.scilit.net/article/e8f72da1ec95db8d06ba219b76929e96?action=show-references
https://www.nature.com/articles/s41587-021-00936-1.pdf
https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2F41219244-6b7d-4a10-9920-3776fc670878
https://scholar.nycu.edu.tw/zh/publications/the-rna-atlas-expands-the-catalog-of-human-non-coding-rnas
https://biblio.ugent.be/publication/8715077
https://europepmc.org/article/MED/34140680

Infectious disease mRNA vaccines and a review on epitope prediction for vaccine design

Authors: Cai, Xinhui Li, Jiao Jiao Liu, Tao et al.

Source: Briefings in Functional Genomics. 20:289-303

Subject Terms: 0301 basic medicine, Coronaviruses, Messenger, Coronaviruses Vaccines, Machine Learning, 3102 Bioinformatics and Computational Biology, epitope prediction, Epitopes, Neoplasms, Machine Learning and Artificial Intelligence, anzsrc-for: 31 Biological Sciences, Vaccines, 0303 health sciences, Zika Virus Infection, other infectious diseases, 3 Good Health and Well Being, 3. Good health, mRNA vaccines, Infectious Diseases, Networking and Information Technology R&D (NITRD), 3.4 Vaccines, Virus Diseases, Influenza Vaccines, Patient Safety, anzsrc-for: 3102 Bioinformatics and Computational Biology, Infection, Algorithms, Biotechnology, COVID-19 Vaccines, anzsrc-for: 0604 Genetics, Bioengineering, Dengue Vaccines, Cancer Vaccines, Vaccine Related, 03 medical and health sciences, Biodefense, Diabetes Mellitus, Respiratory Syncytial Virus Vaccines, Animals, Humans, RNA, Messenger, Pandemics, SARS-CoV-2, Prevention, COVID-19, Computational Biology, Vector-Borne Diseases, Emerging Infectious Diseases, Communicable Disease Control, RNA, Immunization, Software, 31 Biological Sciences

File Description: application/pdf

Access URL: https://academic.oup.com/bfg/article-pdf/20/5/289/40349787/elab027.pdf
https://pubmed.ncbi.nlm.nih.gov/34089044
https://pubmed.ncbi.nlm.nih.gov/34089044/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194884
https://europepmc.org/article/PMC/PMC8194884
https://academic.oup.com/bfg/article/20/5/289/6292285
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1258749

An algebraic model for inversion and deletion in bacterial genome rearrangement

Authors: Clark, C Jonušas, J Mitchell, JD et al.

Source: urn:ISSN:0303-6812 ; urn:ISSN:1432-1416 ; Journal of Mathematical Biology, 87, 2, 34

Subject Terms: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Infectious Diseases, Humans, Chromosome Inversion, Algorithms, Biological Evolution, Phylogeny, Genome, Bacterial, Gene Rearrangement, Bacterial genomics, Deletion, Distance, Inversion, Partial permutation, Phylogenetics, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 49 Mathematical sciences

File Description: application/pdf

Relation: http://hdl.handle.net/1959.4/102215

Availability: http://hdl.handle.net/1959.4/102215
https://unsworks.unsw.edu.au/bitstreams/420134bc-4fbb-4ab2-8fe8-884b1ab3cfe1/download
https://doi.org/10.1007/s00285-023-01965-x

Transcript- and annotation-guided genome assembly of the European starling

Authors: Katarina C. Stuart Richard J. Edwards Yuanyuan Cheng et al.

Source: Mol Ecol Resour
Stuart, K, Edwards, R, Cheng, Y, Warren, W, Burt, D, Sherwin, W, Hofmeister, N, Werner, S, Ball, G F, Bateson, M, Brandley, M, Buchanan, K L, Cassey, P, Clayton, D F, De Meyer, T, Meddle, S & Rollins, L 2022, ' Transcript-and annotation-guided genome assembly of the European starling ', Molecular Ecology Resources, vol. 22, no. 8, pp. 3141-3160 . https://doi.org/10.1111/1755-0998.13679
MOLECULAR ECOLOGY RESOURCES

Subject Terms: 0301 basic medicine, Sturnus vulgaris, genome annotation, assessment, 0206 medical engineering, 02 engineering and technology, full-length transcripts, 3105 Genetics, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Genetics, Animals, anzsrc-for: 31 Biological Sciences, genome, Genome, Human Genome, RESOURCE ARTICLES, Australia, Biology and Life Sciences, Molecular Sequence Annotation, Genomics, 15. Life on land, STURNUS-VULGARIS, PAN-GENOME, genome assessment, EVOLUTION, anzsrc-for: 3105 Genetics, INSIGHTS, FOS: Biological sciences, DISCOVERY, POPULATION TRENDS, Starlings, anzsrc-for: 06 Biological Sciences, genome assembly, VISUALIZATION, anzsrc-for: 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Biotechnology

File Description: application/pdf

Access URL: https://www.biorxiv.org/content/biorxiv/early/2021/05/26/2021.04.07.438753.full.pdf
https://pubmed.ncbi.nlm.nih.gov/35763352
https://www.biorxiv.org/content/biorxiv/early/2021/04/08/2021.04.07.438753.full.pdf
https://www.biorxiv.org/content/10.1101/2021.04.07.438753v1
https://europepmc.org/article/PPR/PPR308684
https://hdl.handle.net/20.500.11820/dc3244ac-66ae-492a-a580-5587fe5bfd4f
https://www.pure.ed.ac.uk/ws/files/286856300/Molecular_Ecology_Resources_2022_Stuart_Transcript_and_annotation_guided_genome_assembly_of_the_European_starling.pdf
https://biblio.ugent.be/publication/01GSFWE7672J6V4NV5EZGAGVRJ
http://hdl.handle.net/1854/LU-01GSFWE7672J6V4NV5EZGAGVRJ
http://doi.org/10.1111/1755-0998.13679
https://biblio.ugent.be/publication/01GSFWE7672J6V4NV5EZGAGVRJ/file/01GSG0WK7A7RAVS9PQQHFHV9DY

Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein–protein interactions in the human cell

Authors: Bartolec, TK Vázquez-Campos, X Norman, A et al.

Source: urn:ISSN:0027-8424 ; urn:ISSN:1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America, 120, 17

Subject Terms: 3401 Analytical Chemistry, 3101 Biochemistry and Cell Biology, 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, 34 Chemical Sciences, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Generic health relevance, Humans, Cryoelectron Microscopy, Proteomics, Mass Spectrometry, Molecular Biology, Proteome, Cross-Linking Reagents, AlphaFold2, cross-linking mass spectrometry, protein structure prediction, protein–protein interactions, structural proteomics, anzsrc-for: 3401 Analytical Chemistry, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences, anzsrc-for: 34 Chemical Sciences

File Description: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_84932; https://doi.org/10.1073/pnas.2219418120

Availability: https://hdl.handle.net/1959.4/unsworks_84932
https://unsworks.unsw.edu.au/bitstreams/9fd06028-fd19-41b2-bf50-9fb222b0ad62/download
https://doi.org/10.1073/pnas.2219418120

Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection

Authors: Ingrid E. Scheffer Velimir Gayevskiy Mark J. Cowley et al.

Source: Hum Mutat

Subject Terms: 0301 basic medicine, de novo, anzsrc-for: 0604 Genetics, DNA Mutational Analysis, 32 Biomedical and Clinical Sciences, anzsrc-for: 1103 Clinical Sciences, 3105 Genetics, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, Genetics, 2.1 Biological and endogenous factors, Humans, developmental and epileptic encephalopathy, anzsrc-for: 31 Biological Sciences, clinical bioinformatics, Genetic Association Studies, whole genome sequencing, 0303 health sciences, Genome, Genome, Human, Human Genome, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, anzsrc-for: 3105 Genetics, Phenotype, anzsrc-for: 3202 Clinical sciences, Mutation, Brief Reports, anzsrc-for: 3102 Bioinformatics and Computational Biology, 31 Biological Sciences, Biotechnology, Human

File Description: application/pdf

Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/humu.23699
https://pubmed.ncbi.nlm.nih.gov/30556619
https://minerva-access.unimelb.edu.au/bitstream/handle/11343/253377/PMC6492103.pdf
https://findanexpert.unimelb.edu.au/scholarlywork/1362935-reanalysis-and-optimisation-of-bioinformatic-pipelines-is-critical-for-mutation-detection
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902222334666917
https://www.scholars.northwestern.edu/en/publications/reanalysis-and-optimisation-of-bioinformatic-pipelines-is-critica
http://europepmc.org/abstract/MED/30556619
https://onlinelibrary.wiley.com/doi/pdf/10.1002/humu.23699

Histone H3-wild type diffuse midline gliomas with H3K27me3 loss are a distinct entity with exclusive EGFR or ACVR1 mutation and differential methylation of homeobox genes

Authors: Ajuyah, P Mayoh, C Lau, LMS et al.

Source: urn:ISSN:2045-2322 ; Scientific Reports, 13, 1, 3775

Subject Terms: 31 Biological Sciences, 32 Biomedical and Clinical Sciences, 3102 Bioinformatics and Computational Biology, 3105 Genetics, 3211 Oncology and Carcinogenesis, Brain Disorders, Cancer Genomics, Human Genome, Brain Cancer, Cancer, Genetics, Rare Diseases, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Child, Humans, Genes, Homeobox, Histones, Methylation, Glioma, Mutation, ErbB Receptors, Activin Receptors, Type I, anzsrc-for: 31 Biological Sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3105 Genetics, anzsrc-for: 3211 Oncology and Carcinogenesis

File Description: application/pdf

Relation: https://hdl.handle.net/1959.4/102336

Availability: https://hdl.handle.net/1959.4/102336
https://unsworks.unsw.edu.au/bitstreams/55f05900-ee96-4171-a999-91b4006badf0/download
https://doi.org/10.1038/s41598-023-30395-4

Dendritic Cell Density and Morphology Can Be Used to Differentiate Vernal Keratoconjunctivitis from Allergic Conjunctivitis

Authors: Tajbakhsh, Z Golebiowski, B Stapleton, F et al.

Source: urn:ISSN:2218-273X ; Biomolecules, 13, 10, 1469

Subject Terms: 32 Biomedical and Clinical Sciences, 3212 Ophthalmology and Optometry, Eye Disease and Disorders of Vision, 2.1 Biological and endogenous factors, Inflammatory and immune system, Humans, Conjunctivitis, Allergic, Prospective Studies, Conjunctiva, Cornea, Dendritic Cells, allergic conjunctivitis, antigen capture capacity, dendritic cell, in vivo confocal microscopy, migratory capacity, vernal keratoconjunctivitis, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3212 Ophthalmology and Optometry, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 3102 Bioinformatics and computational biology, anzsrc-for: 3206 Medical biotechnology

Relation: https://hdl.handle.net/1959.4/104480; https://doi.org/10.3390/biom13101469

Availability: https://hdl.handle.net/1959.4/104480
https://doi.org/10.3390/biom13101469

Novel Peptides with Dual Properties for Treating Pseudomonas aeruginosa Keratitis: Antibacterial and Corneal Wound Healing

Authors: Cappiello, F Verma, S Lin, X et al.

Source: urn:ISSN:2218-273X ; Biomolecules, 13, 7, 1028

Subject Terms: 32 Biomedical and Clinical Sciences, 3212 Ophthalmology and Optometry, Infectious Diseases, Physical Injury - Accidents and Adverse Effects, Eye Disease and Disorders of Vision, Wound Healing and Care, 5.1 Pharmaceuticals, Eye, Infection, Animals, Mice, Pseudomonas aeruginosa, Pseudomonas Infections, Keratitis, Anti-Bacterial Agents, Corneal Injuries, Peptides, Wound Healing, antimicrobial peptides, antimicrobial resistance, corneal infections, corneal wound healing, anzsrc-for: 32 Biomedical and Clinical Sciences, anzsrc-for: 3212 Ophthalmology and Optometry, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 3102 Bioinformatics and computational biology, anzsrc-for: 3206 Medical biotechnology

File Description: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_84021; https://doi.org/10.3390/biom13071028

Availability: https://hdl.handle.net/1959.4/unsworks_84021
https://unsworks.unsw.edu.au/bitstreams/897e7a59-6af6-4e78-85fc-29f4da6aacef/download
https://doi.org/10.3390/biom13071028

Restriction Enzyme Based Enriched L1Hs Sequencing (REBELseq): A Scalable Technique for Detection of Ta Subfamily L1Hs in the Human Genome

Authors: Rachel N Levinson Wade H. Berrettini Esin C. Namoglu et al.

Source: G3 (Bethesda)
G3: Genes, Genomes, Genetics, Vol 10, Iss 5, Pp 1647-1655 (2020)

Subject Terms: 0301 basic medicine, Retroelements, anzsrc-for: 0604 Genetics, l1, QH426-470, Investigations, 3105 Genetics, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Genetics, Humans, l1hs, anzsrc-for: 31 Biological Sciences, 0303 health sciences, Genome, Genome, Human, Human Genome, High-Throughput Nucleotide Sequencing, anzsrc-for: 3101 Biochemistry and cell biology, anzsrc-for: 4905 Statistics, DNA Restriction Enzymes, L1, L1Hs, retrotransposons, anzsrc-for: 3105 Genetics, Retrotransposons, Long Interspersed Nucleotide Elements, anzsrc-for: 3102 Bioinformatics and Computational Biology, rebelseq, REBELseq, 31 Biological Sciences, Biotechnology, Human

File Description: application/pdf

Access URL: https://academic.oup.com/g3journal/article-pdf/10/5/1647/38825689/g3journal1647.pdf
https://pubmed.ncbi.nlm.nih.gov/32132168
https://doaj.org/article/b4f24c25c33048b8ad162a2ff355cb5b
https://europepmc.org/article/MED/32132168
https://www.g3journal.org/content/early/2020/03/04/g3.119.400613
https://pubmed.ncbi.nlm.nih.gov/32132168/
https://www.g3journal.org/content/10/5/1647
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202019

Crosstalk of Phosphorylation and Arginine Methylation in Disordered SRGG Repeats of Saccharomyces cerevisiae Fibrillarin and Its Association with Nucleolar Localization

Authors: Smith, DL Erce, MA Lai, YW et al.

Source: Journal of Molecular Biology. 432:448-466

Subject Terms: Repetitive Sequences, Amino Acid, 0301 basic medicine, Protein-Arginine N-Methyltransferases, Saccharomyces cerevisiae Proteins, Chromosomal Proteins, Non-Histone, Amino Acid Motifs, Active Transport, Cell Nucleus, Nop1p, Saccharomyces cerevisiae, Protein Serine-Threonine Kinases, 3101 Biochemistry and Cell Biology, Arginine, Methylation, Repetitive Sequences, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Npl3p, Ribonucleoproteins, Small Nucleolar, Protein Phosphatase 1, Genetics, Serine, 2.1 Biological and endogenous factors, anzsrc-for: 31 Biological Sciences, anzsrc-for: 0304 Medicinal and Biomolecular Chemistry, Phosphorylation, Post-translational modifications (PTM), Small Nucleolar, Cell Nucleus, 0303 health sciences, anzsrc-for: 3101 Biochemistry and Cell Biology, Nuclear Proteins, RNA-Binding Proteins, Non-Histone, anzsrc-for: 3107 Microbiology, Active Transport, Yeast, Chromosomal Proteins, Repressor Proteins, Amino Acid, Ribonucleoproteins, anzsrc-for: 0605 Microbiology, 5.1 Pharmaceuticals, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and Computational Biology, Hmt1p, 31 Biological Sciences

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Access URL: https://pubmed.ncbi.nlm.nih.gov/31756331
https://www.sciencedirect.com/science/article/pii/S0022283619306667
https://researchers.mq.edu.au/en/publications/crosstalk-of-phosphorylation-and-arginine-methylation-in-disorder
https://pubag.nal.usda.gov/catalog/6765611
https://www.ncbi.nlm.nih.gov/pubmed/31756331