Výsledky vyhledávání - anzsrc-for: 3102 ((informatika OR information) OR informatics) and computational biology~

Application of network link prediction in drug discovery

Autoři: Abbas, K Abbasi, A Dong, S a další

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)

Témata: 0301 basic medicine, QH301-705.5, Computer applications to medicine. Medical informatics, 0206 medical engineering, R858-859.7, Bioengineering, 02 engineering and technology, anzsrc-for: 49 Mathematical sciences, Machine Learning, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Drug Discovery, Machine Learning and Artificial Intelligence, Drug Interactions, anzsrc-for: 31 Biological Sciences, Biology (General), Poly-pharmacy side effects prediction, anzsrc-for: 46 Information and computing sciences, Data Science, anzsrc-for: 01 Mathematical Sciences, 3 Good Health and Well Being, 1.4 Methodologies and measurements, 8.4 Research design and methodologies (health services), 3. Good health, Poly-pharmacy, Networking and Information Technology R&D (NITRD), Data-driven drug discovery, Drug-target prediction, anzsrc-for: 06 Biological Sciences, Network link prediction, Patient Safety, Generic health relevance, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Algorithms, 31 Biological Sciences, Research Article

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04082-y
https://pubmed.ncbi.nlm.nih.gov/33845763
https://doaj.org/article/1d01a93d39a2459b986f82ecaa891468
https://link.springer.com/article/10.1186/s12859-021-04082-y
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04082-y
https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi22.html#AbbasASLYCCH21
https://doi.org/10.1186/s12859-021-04082-y
https://link.springer.com/article/10.1186/s12859-021-04082-y/tables/3
https://europepmc.org/article/MED/33845763

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

Autoři: Lloyd, RA Dissanayake, E Jugé, L a další

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

Témata: 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

Popis souboru: application/pdf

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

Dostupnost: 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

Autoři: Wang, X Zhang, Y Guo, T a další

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

Témata: 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

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

Pairwise alignment of nucleotide sequences using maximal exact matches

Autoři: Sri Parameswaran Aleksandar Ignjatovic Bruno A. Gaëta a další

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-15 (2019)

Témata: 0301 basic medicine, QH301-705.5, Computer applications to medicine. Medical informatics, 0206 medical engineering, anzsrc-for: 46 Information and Computing Sciences, R858-859.7, 02 engineering and technology, anzsrc-for: 49 Mathematical sciences, Dynamic programming, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, 46 Information and Computing Sciences, Sequence alignment, anzsrc-for: 31 Biological Sciences, Biology (General), Nucleotides, Methodology Article, anzsrc-for: 01 Mathematical Sciences, DNA, Sequence Analysis, DNA, anzsrc-for: 06 Biological Sciences, Generic health relevance, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Affine-gap penalty, Sequence Analysis, Sequence Alignment, Algorithms, 31 Biological Sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-019-2827-0
https://pubmed.ncbi.nlm.nih.gov/31113356
https://doaj.org/article/7fd87e0f5d1b4ca68661741718e3a4bd
https://link.springer.com/article/10.1186/s12859-019-2827-0
https://link.springer.com/article/10.1186/s12859-019-2827-0/figures/1
https://pubmed.ncbi.nlm.nih.gov/31113356/
https://link.springer.com/content/pdf/10.1186/s12859-019-2827-0.pdf
https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi20.html#BayatGIP19
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2827-0

NGSANE: a lightweight production informatics framework for high-throughput data analysis

Autoři: Buske, FA French, HJ Smith, MA a další

Přispěvatelé: Buske, FA French, HJ Smith, MA a další

Zdroj: urn:ISSN:1367-4811 ; urn:ISSN:1460-2059 ; Bioinformatics, 30, 10, 1471-1472

Témata: 46 Information and Computing Sciences, 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 4601 Applied Computing, Networking and Information Technology R&D (NITRD), Automation, Laboratory, High-Throughput Nucleotide Sequencing, Humans, Software, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 4601 Applied Computing, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 49 Mathematical sciences

Popis souboru: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_63983; https://doi.org/10.1093/bioinformatics/btu036

Dostupnost: https://hdl.handle.net/1959.4/unsworks_63983
https://unsworks.unsw.edu.au/bitstreams/59b0b8a9-7b2e-45f6-9084-3144e185aec3/download
https://doi.org/10.1093/bioinformatics/btu036

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

Autoři: Duy Pham Xiao Tan Brad Balderson a další

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

Témata: 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

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

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

Autoři: Cai, Xinhui Li, Jiao Jiao Liu, Tao a další

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

Témata: 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

Popis souboru: application/pdf

Přístupová URL adresa: 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

CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments

Autoři: Richard P. Harvey Romaric Bouveret Ashley J. Waardenberg a další

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 16, Iss 1, Pp 1-8 (2015)

Témata: 0301 basic medicine, Serum Response Factor, QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7, Jaccard Coefficient, anzsrc-for: 49 Mathematical sciences, Biochemistry, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Genetics, Hard Thresholding, Homeobox, Humans, anzsrc-for: 31 Biological Sciences, Biology (General), 10. No inequality, Molecular Biology, anzsrc-for: 46 Information and computing sciences, 0303 health sciences, Human Genome, anzsrc-for: 01 Mathematical Sciences, Genes, Homeobox, Computational Biology, DNA, Genomics, Computer Science Applications, Gene Ontology, Networking and Information Technology R&D (NITRD), Genes, 13. Climate action, Enrich Gene Ontology, anzsrc-for: 06 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Software, 31 Biological Sciences, Biotechnology

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0701-2
https://pubmed.ncbi.nlm.nih.gov/26329719
https://doaj.org/article/c95ec453e9844c13a024c7b9d6af4f54
https://link.springer.com/content/pdf/10.1186%2Fs12859-015-0701-2.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845484
https://pubmed.ncbi.nlm.nih.gov/26329719/
https://researchonline.jcu.edu.au/55658/
http://europepmc.org/articles/PMC4557902
https://paperity.org/p/74061677/compgo-an-r-package-for-comparing-and-visualizing-gene-ontology-enrichment-differences

The oncofetal RNA-binding protein IGF2BP1 is a druggable, post-transcriptional super-enhancer of E2F-driven gene expression in cancer

Autoři: Müller, S Bley, N Busch, B a další

Zdroj: Nucleic Acids Res

Témata: 0301 basic medicine, 1.1 Normal biological development and functioning, 3101 Biochemistry and Cell Biology, Cell Line, Small Molecule Libraries, 3102 Bioinformatics and Computational Biology, Mice, 03 medical and health sciences, Rare Diseases, Cancer Genomics, anzsrc-for: 34 Chemical sciences, Cell Line, Tumor, Neoplasms, Genetics, 2.1 Biological and endogenous factors, Animals, Humans, anzsrc-for: 31 Biological Sciences, Molecular Biology, 3' Untranslated Regions, Cancer, Neoplastic, 0303 health sciences, Tumor, Human Genome, anzsrc-for: 3101 Biochemistry and Cell Biology, anzsrc-for: 05 Environmental Sciences, RNA-Binding Proteins, E2F Transcription Factors, 3. Good health, anzsrc-for: 41 Environmental sciences, Gene Expression Regulation, Neoplastic, Gene Expression Regulation, anzsrc-for: 06 Biological Sciences, Generic health relevance, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, E2F1 Transcription Factor, 31 Biological Sciences, Biotechnology

Popis souboru: application/pdf

Přístupová URL adresa: https://academic.oup.com/nar/article-pdf/48/15/8576/33697465/gkaa653.pdf
https://pubmed.ncbi.nlm.nih.gov/32761127
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470957
https://pubmed.ncbi.nlm.nih.gov/32761127/
https://academic.oup.com/nar/article/48/15/8576/5881798
https://europepmc.org/articles/PMC7470957/

Density-based detection of cell transition states to construct disparate and bifurcating trajectories

Autoři: Lan, T Hutvagner, G Zhang, X a další

Zdroj: urn:ISSN:0305-1048 ; urn:ISSN:1362-4962 ; Nucleic acids research, 50, 21, e122-e122

Témata: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Cancer Genomics, Genetics, Cancer, Human Genome, 1.1 Normal biological development and functioning, Humans, Single-Cell Analysis, SARS-CoV-2, COVID-19, Cell Differentiation, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 05 Environmental Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 34 Chemical sciences, anzsrc-for: 41 Environmental sciences

Popis souboru: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_82561; https://doi.org/10.1093/nar/gkac785

Dostupnost: http://hdl.handle.net/1959.4/unsworks_82561
https://unsworks.unsw.edu.au/bitstreams/224bfec6-f949-406a-ab98-8a4c36cd4260/download
https://doi.org/10.1093/nar/gkac785

A relation based measure of semantic similarity for Gene Ontology annotations

Autoři: Sheehan, B Quigley, A Gaudin, B a další

Přispěvatelé: Sheehan, B Quigley, A Gaudin, B a další

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 9, Iss 1, p 468 (2008)

Témata: QA75, 0301 basic medicine, QH301-705.5, QA75 Electronic computers. Computer science, Computer applications to medicine. Medical informatics, 0206 medical engineering, R858-859.7, QH426 Genetics, 02 engineering and technology, anzsrc-for: 49 Mathematical sciences, Vocabulary, Biochemistry, Database, 3102 Bioinformatics and Computational Biology, Databases, 03 medical and health sciences, Fuzzy Logic, Terminology as Topic, Genetics, anzsrc-for: 31 Biological Sciences, Biology (General), Databases, Protein, QH426, Molecular Biology, Natural Language Processing, anzsrc-for: 46 Information and computing sciences, Protein, Methodology Article, anzsrc-for: 01 Mathematical Sciences, Computational Biology, Proteins, Reproducibility of Results, Classification, Computer Science Applications, Semantics, Genes, Vocabulary, Controlled, anzsrc-for: 06 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, Controlled, anzsrc-for: 08 Information and Computing Sciences, Algorithms, 31 Biological Sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-9-468
https://pubmed.ncbi.nlm.nih.gov/18983678
https://doaj.org/article/bafc511d6bf24cd5a0709cc0ceba2280
https://europepmc.org/articles/PMC2655092
https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/4647/sheehan2008bmcbioinformatics468.pdf;sequence=1
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-468
https://paperity.org/p/56675887/a-relation-based-measure-of-semantic-similarity-for-gene-ontology-annotations
https://link.springer.com/article/10.1186/1471-2105-9-468/figures/3
https://pubmed.ncbi.nlm.nih.gov/18983678/
https://hdl.handle.net/10023/4647
http://www.biomedcentral.com/1471-2105/9/468

Vertical decomposition with Genetic Algorithm for Multiple Sequence Alignment

Autoři: Naznin, F Sarker, R Essam, D

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 12, Iss 1, p 353 (2011)

Témata: 0301 basic medicine, Evolution, QH301-705.5, Computer applications to medicine. Medical informatics, 0206 medical engineering, anzsrc-for: 46 Information and Computing Sciences, R858-859.7, 02 engineering and technology, anzsrc-for: 49 Mathematical sciences, Biochemistry, 3105 Genetics, Evolution, Molecular, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, 46 Information and Computing Sciences, Humans, anzsrc-for: 31 Biological Sciences, Biology (General), Child, Molecular Biology, Base Sequence, anzsrc-for: 080201 Analysis of Algorithms and Complexity, anzsrc-for: 01 Mathematical Sciences, Molecular, Computational Biology, DNA, Sequence Analysis, DNA, anzsrc-for: 4602 Artificial Intelligence, Computer Science Applications, anzsrc-for: 3105 Genetics, 4602 Artificial Intelligence, anzsrc-for: 06 Biological Sciences, Generic health relevance, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Sequence Analysis, Sequence Alignment, Algorithms, 31 Biological Sciences, Research Article

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-12-353
https://pubmed.ncbi.nlm.nih.gov/21867510
https://doaj.org/article/d87d605f0ff94138b74349317038969c
http://www.biomedcentral.com/1471-2105/12/353
https://link.springer.com/article/10.1186%2F1471-2105-12-353/metrics
https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi12.html#NazninSE11
https://link.springer.com/article/10.1186/1471-2105-12-353/tables/8
http://europepmc.org/articles/PMC3180391
https://doi.org/10.1186/1471-2105-12-353

VIRMOTIF: A user-friendly tool for viral sequence analysis

Autoři: Rajaei, P Jahanian, KH Beheshti, A a další

Zdroj: urn:ISSN:2073-4425 ; Genes, 12, 2, 1-9

Témata: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Bioengineering, Networking and Information Technology R&D (NITRD), Biotechnology, 1.1 Normal biological development and functioning, 1.5 Resources and infrastructure (underpinning), Generic health relevance, Algorithms, Cluster Analysis, Computational Biology, Databases, Genetic, Genetic Variation, Genome, Viral, Nucleotide Motifs, Sequence Analysis, DNA, Software, User-Computer Interface, D-ratio, motif analysis, sequence variation, virus genome, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 0604 Genetics, anzsrc-for: 3105 Genetics

Popis souboru: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_74948; https://doi.org/10.3390/genes12020186

Dostupnost: http://hdl.handle.net/1959.4/unsworks_74948
https://unsworks.unsw.edu.au/bitstreams/8a4858e8-873c-452e-bcab-004ab61cbac1/download
https://doi.org/10.3390/genes12020186

Cytopathology whole slide images and virtual microscopy adaptive tutorials: A software pilot

Autoři: Van Es, SL Pryor, WM Belinson, Z a další

Zdroj: urn:ISSN:2229-5089 ; urn:ISSN:2153-3539 ; Journal of Pathology Informatics, 6, 1, 54

Témata: 46 Information and Computing Sciences, 4609 Information Systems, Bioengineering, 4 Quality Education, Cytopathology, digital microscopy, pathology education, software, virtual microscopy, virtual microscopy adaptive tutorials, virtual slides, whole slide image, whole slide images, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4609 Information Systems, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 3102 Bioinformatics and computational biology

Popis souboru: application/pdf

Relation: http://www.jpathinformatics.org/text.asp?2015/6/1/54/166016; https://hdl.handle.net/1959.4/unsworks_36315

Dostupnost: https://hdl.handle.net/1959.4/unsworks_36315
https://unsworks.unsw.edu.au/bitstreams/ce071890-1ea2-4ae4-99e4-3b8847f3907a/download
https://doi.org/10.4103/2153-3539.166016

In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles

Autoři: Frank Lin Enrico Coiera Vitali Sintchenko a další

Zdroj: BMC Bioinformatics
BMC Bioinformatics, Vol 10, Iss 1, p 86 (2009)

Témata: 0301 basic medicine, QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7, anzsrc-for: 49 Mathematical sciences, Biochemistry, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Genetics, anzsrc-for: 31 Biological Sciences, Biology (General), Molecular Biology, Phylogeny, anzsrc-for: 060501 Bacteriology, anzsrc-for: 46 Information and computing sciences, 0303 health sciences, Genome, Gene Expression Profiling, Human Genome, anzsrc-for: 01 Mathematical Sciences, Bacterial, Computational Biology, 3 Good Health and Well Being, anzsrc-for: 060499 Genetics not elsewhere classified, Computer Science Applications, Infectious Diseases, Genes, Genes, Bacterial, anzsrc-for: 06 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Algorithms, Genome, Bacterial, 31 Biological Sciences, Biotechnology, Research Article

Popis souboru: application/pdf

Přístupová URL adresa: https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-10-86
https://pubmed.ncbi.nlm.nih.gov/19292914
https://doaj.org/article/9c4edc5e57054fa9bb8deefb8ab29a67

A generalised approach for high-throughput instance segmentation of stomata in microscope images

Autoři: Jayakody, H Petrie, P Boer, HJD a další

Zdroj: urn:ISSN:1746-4811 ; Plant Methods, 17, 1, 27

Témata: 30 Agricultural, Veterinary and Food Sciences, 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, 3108 Plant Biology, 3001 Agricultural Biotechnology, Bioengineering, Networking and Information Technology R&D (NITRD), Generic health relevance, Automatic stomata detection, High-throughput analysis, Instance segmentation, Machine learning, Mask R-CNN, Microscope imagery, anzsrc-for: 30 Agricultural, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 3108 Plant Biology, anzsrc-for: 3001 Agricultural Biotechnology, anzsrc-for: 0601 Biochemistry and Cell Biology, anzsrc-for: 0607 Plant Biology, anzsrc-for: 1001 Agricultural Biotechnology

Popis souboru: application/pdf

Relation: https://hdl.handle.net/1959.4/unsworks_75089

Dostupnost: https://hdl.handle.net/1959.4/unsworks_75089
https://unsworks.unsw.edu.au/bitstreams/6eae025a-19fe-4b76-8b5b-7e150c819a0d/download
https://doi.org/10.1186/s13007-021-00727-4

The Dark Proteome Database

Autoři: Agostinho Rosa Seán I. O'Donoghue Nelson Perdigão

Zdroj: BioData Min
BioData Mining, Vol 10, Iss 1, Pp 1-11 (2017)

Témata: 0301 basic medicine, QA299.6-433, 0303 health sciences, Molecular Structure, anzsrc-for: 4605 Data management and data science, anzsrc-for: 3101 Biochemistry and Cell Biology, Computer applications to medicine. Medical informatics, R858-859.7, Homology Modelling, 3101 Biochemistry and Cell Biology, Software Article, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, Generic health relevance, anzsrc-for: 0801 Artificial Intelligence and Image Processing, anzsrc-for: 1303 Specialist Studies in Education, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 31 Biological Sciences, anzsrc-for: 1101 Medical Biochemistry and Metabolomics, Dark Proteome, Analysis, 31 Biological Sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://biodatamining.biomedcentral.com/track/pdf/10.1186/s13040-017-0144-6
https://pubmed.ncbi.nlm.nih.gov/28736578
https://doaj.org/article/3812817d3f9947359f0f0b4c59413dee
https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0144-6/metrics
https://www.ncbi.nlm.nih.gov/pubmed/28736578
https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0144-6
https://link.springer.com/content/pdf/10.1186/s13040-017-0144-6.pdf
https://pubmed.ncbi.nlm.nih.gov/28736578/
https://link.springer.com/article/10.1186/s13040-017-0144-6

CoCoCoNet: Conserved and comparative co-expression across a diverse set of species

Autoři: Lee, J Shah, M Ballouz, S a další

Zdroj: urn:ISSN:0305-1048 ; urn:ISSN:1362-4962 ; Nucleic Acids Research, 48, W1, W566-W571

Témata: 31 Biological Sciences, 3102 Bioinformatics and Computational Biology, Genetics, Mental Health, Biotechnology, Generic health relevance, Animals, Autism Spectrum Disorder, Gene Expression, Gene Regulatory Networks, Humans, RNA-Seq, Saccharomyces cerevisiae Proteins, Software, anzsrc-for: 31 Biological Sciences, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 05 Environmental Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 34 Chemical sciences, anzsrc-for: 41 Environmental sciences

Popis souboru: application/pdf

Relation: http://hdl.handle.net/1959.4/unsworks_70355; https://doi.org/10.1093/NAR/GKAA348

Dostupnost: http://hdl.handle.net/1959.4/unsworks_70355
https://unsworks.unsw.edu.au/bitstreams/4a336961-d282-4b92-b398-21430731a8e3/download
https://doi.org/10.1093/NAR/GKAA348

Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs

Autoři: Devnath, L Luo, S Summons, P a další

Zdroj: urn:ISSN:0010-4825 ; urn:ISSN:1879-0534 ; Computers in Biology and Medicine, 129, 104125

Témata: 4611 Machine Learning, 46 Information and Computing Sciences, 4603 Computer Vision and Multimedia Computation, Bioengineering, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Biomedical Imaging, 4.1 Discovery and preclinical testing of markers and technologies, Humans, Pneumoconiosis, Radiographic Image Interpretation, Computer-Assisted, Radiography, Support Vector Machine, X-Rays, Black lung, Coal workers' pneumoconiosis (CWP), Computer-aided diagnosis, Deep transfer learning, anzsrc-for: 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4603 Computer Vision and Multimedia Computation, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 09 Engineering, anzsrc-for: 11 Medical and Health Sciences, anzsrc-for: 3102 Bioinformatics and computational biology, anzsrc-for: 4203 Health services and systems, anzsrc-for: 4601 Applied computing

Relation: https://hdl.handle.net/1959.4/unsworks_75477; https://doi.org/10.1016/j.compbiomed.2020.104125

Dostupnost: https://hdl.handle.net/1959.4/unsworks_75477
https://doi.org/10.1016/j.compbiomed.2020.104125

CoCoCoNet: Conserved and Comparative Co-expression Across a Diverse Set of Species

Autoři: Jesse Gillis Megan Crow Sara Ballouz a další

Zdroj: Nucleic Acids Res

Témata: 0301 basic medicine, Saccharomyces cerevisiae Proteins, Autism Spectrum Disorder, autism, Gene Expression, yeast, Saccharomyces, 3102 Bioinformatics and Computational Biology, 03 medical and health sciences, computational biology, anzsrc-for: 34 Chemical sciences, Genetics, Animals, Humans, personality disorders, Gene Regulatory Networks, RNA-Seq, anzsrc-for: 31 Biological Sciences, 0303 health sciences, anzsrc-for: 05 Environmental Sciences, mental disorders, anzsrc-for: 41 Environmental sciences, Mental Health, diseases & disorders, Web Server Issue, gene network, anzsrc-for: 06 Biological Sciences, gene expression, Generic health relevance, anzsrc-for: 3102 Bioinformatics and Computational Biology, anzsrc-for: 08 Information and Computing Sciences, Software, 31 Biological Sciences, Biotechnology

Popis souboru: application/pdf

Přístupová URL adresa: https://academic.oup.com/nar/article-pdf/48/W1/W566/33433140/gkaa348.pdf
https://pubmed.ncbi.nlm.nih.gov/32392296
https://www.biorxiv.org/content/10.1101/2020.04.21.053900v1
https://biorxiv.org/content/10.1101/2020.04.21.053900v1.full.pdf
https://www.biorxiv.org/content/10.1101/2020.04.21.053900v1.full-text