Search results for "030302 biochemistry & molecular biology"

showing 10 items of 238 documents

Evagination of Cells Controls Bio-Silica Formation and Maturation during Spicule Formation in Sponges

2011

The enzymatic-silicatein mediated formation of the skeletal elements, the spicules of siliceous sponges starts intracellularly and is completed extracellularly. With Suberites domuncula we show that the axial growth of the spicules proceeds in three phases: (I) formation of an axial canal; (II) evagination of a cell process into the axial canal, and (III) assembly of the axial filament composed of silicatein. During these phases the core part of the spicule is synthesized. Silicatein and its substrate silicate are stored in silicasomes, found both inside and outside of the cellular extension within the axial canal, as well as all around the spicule. The membranes of the silicasomes are inte…

SpiculeHistologyMaterials ScienceAquaporinlcsh:MedicineMarine BiologyCytoplasmic GranulesModels BiologicalInorganic ChemistryNatural Materials03 medical and health sciencesSponge spiculeMicroscopy Electron TransmissionAnimal PhysiologyNanotechnologyAnimalslcsh:ScienceBiologyBioinorganic Chemistry030304 developmental biologyNanomaterials0303 health sciencesMultidisciplinarybiologyChemistryVesicleSilicates030302 biochemistry & molecular biologylcsh:RCytoplasmic VesiclesSpectrometry X-Ray EmissionAnatomyMarine TechnologyBiogeochemistrybiology.organism_classificationSilicon DioxideCathepsinsImmunohistochemistrySuberites domunculaChemistryMembraneGeochemistryEvaginationBiophysicslcsh:QSuberitesZoologySuberitesResearch ArticlePLoS ONE
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NineTeen Complex-subunit Salsa is required for efficient splicing of a subset of introns and dorsal-ventral patterning

2020

© 2020 Rathore et al. This article is distributed exclusively by the RNASociety for the first 12 months after the full-issue publication date (see http://rnajournal.cshlp.org/site/misc/terms.xhtml). After 12 months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

SpliceosomeBiochemistry & Molecular BiologyRNA SplicingBiologySplicingGermlineArticleMidblastulaDorsal-ventral patterning03 medical and health sciencesAnimalsDrosophila ProteinsFemale fertilityGurkenMolecular BiologyGene030304 developmental biologyBody Patterning0303 health sciencesMessenger RNA030302 biochemistry & molecular biologyfungiIntronGene Expression Regulation DevelopmentalTransforming Growth Factor alphaRNA Helicase AIntronsCell biologyDorsal-ventral patterning; Drosophila; Female fertility; Gurken; Splicing; dorsal–ventral patterning; female fertility; splicingDNA-Binding ProteinsDrosophila melanogasterRNA splicingSpliceosomesFemaleDrosophilaInfertility Female
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Traitpedia: a collaborative effort to gather species traits

2018

Abstract Summary Traitpedia is a collaborative database aimed to collect binary traits in a tabular form for a growing number of species. Availability and implementation Traitpedia can be accessed from http://cbdm-01.zdv.uni-mainz.de/~munoz/traitpedia. Supplementary information Supplementary data are available at Bioinformatics online.

Statistics and Probability0303 health sciencesInformation retrievalComputer science030302 biochemistry & molecular biologyDatabases and OntologiesMEDLINEBiochemistryPhenotypeApplications NotesComputer Science Applications03 medical and health sciencesComputational MathematicsPhenotypeComputational Theory and MathematicsMolecular BiologySoftware030304 developmental biologyGlobal biodiversityBioinformatics
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BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures

2018

Abstract Motivation Modern bioinformatics tools for analyzing large-scale NGS datasets often need to include fast implementations of core sequence alignment algorithms in order to achieve reasonable execution times. We address this need by presenting the BGSA toolkit for optimized implementations of popular bit-parallel global pairwise alignment algorithms on modern microprocessors. Results BGSA outperforms Edlib, SeqAn and BitPAl for pairwise edit distance computations and Parasail, SeqAn and BitPAl when using more general scoring schemes for pairwise alignments of a batch of sequence reads on both standard multi-core CPUs and Xeon Phi many-core CPUs. Furthermore, banded edit distance perf…

Statistics and Probability0303 health sciencesMulti-core processorXeonComputer sciencebusiness.industry030302 biochemistry & molecular biologySequence alignmentSequence Analysis DNAParallel computingBiochemistryComputer Science Applications03 medical and health sciencesComputational MathematicsTitan (supercomputer)SoftwareComputational Theory and MathematicsEdit distancebusinessSequence AlignmentMolecular BiologyAlgorithmsSoftwareXeon Phi030304 developmental biologyBioinformatics
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TiFoSi: an efficient tool for mechanobiology simulations of epithelia

2020

[Motivation]: Emerging phenomena in developmental biology and tissue engineering are the result of feedbacks between gene expression and cell biomechanics. In that context, in silico experiments are a powerful tool to understand fundamental mechanisms and to formulate and test hypotheses.

Statistics and ProbabilityCell signalingCell divisionComputer scienceSystems biologyIn silicoCellBiophysicsMorphogenesisVertex ModelContext (language use)Computational biologyCleavage (embryo)BiochemistryEpitheliumFeedbackMechanobiologyEpithelia Simulation03 medical and health sciencesParacrine signallingMechanobiologyTissue engineeringMorphogenesismedicineComputer SimulationCellular dynamicsMolecular Biology030304 developmental biology0303 health sciencesSystems Biology030302 biochemistry & molecular biologyComputational BiologyCell cycleTissue SimulationJuxtacrine signallingComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsDevelopmental biologyCell DivisionSoftwareDevelopmental BiologyBioinformatics
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SeqEditor: an application for primer design and sequence analysis with or without GTF/GFF files

2021

[Motivation]: Sequence analyses oriented to investigate specific features, patterns and functions of protein and DNA/RNA sequences usually require tools based on graphic interfaces whose main characteristic is their intuitiveness and interactivity with the user’s expertise, especially when curation or primer design tasks are required. However, interface-based tools usually pose certain computational limitations when managing large sequences or complex datasets, such as genome and transcriptome assemblies. Having these requirments in mind we have developed SeqEditor an interactive software tool for nucleotide and protein sequences’ analysis.

Statistics and ProbabilityInterface (Java)Sequence analysisComputer sciencePcr assayBiochemistryGenomeTranscriptome03 medical and health sciencesSequence Analysis ProteinMultiplex polymerase chain reactionHumansNucleotideAmino Acid SequenceMolecular Biology030304 developmental biologychemistry.chemical_classification0303 health sciencesGenomeInformation retrievalContig030302 biochemistry & molecular biologyChromosomeComputer Science ApplicationsComputational MathematicsComputingMethodologies_PATTERNRECOGNITIONComputational Theory and MathematicschemistryLine (text file)Primer (molecular biology)Sequence AnalysisSoftwareReference genome
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NeoFox: annotating neoantigen candidates with neoantigen features

2020

Abstract Summary The detection and prediction of true neoantigens is of great importance for the field of cancer immunotherapy. Wesearched the literature for proposed neoantigen features and integrated them into a toolbox called NEOantigen Feature toolbOX (NeoFox). NeoFox is an easy-to-use Python package that enables the annotation of neoantigen candidates with 16 neoantigen features. Availability and implementation NeoFox is freely available as an open source Python package released under the GNU General Public License (GPL) v3 license at https://github.com/TRON-Bioinformatics/neofox. Supplementary information Supplementary data are available at Bioinformatics online.

Statistics and ProbabilitySupplementary data0303 health sciencesInformation retrievalComputer science030302 biochemistry & molecular biologyPython (programming language)BiochemistryToolbox3. Good healthComputer Science Applications03 medical and health sciencesComputational MathematicsAnnotationOpen sourceComputational Theory and MathematicsMolecular Biologycomputer030304 developmental biologycomputer.programming_languageBioinformatics
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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RabbitMash: accelerating hash-based genome analysis on modern multi-core architectures

2020

Abstract Motivation Mash is a popular hash-based genome analysis toolkit with applications to important downstream analyses tasks such as clustering and assembly. However, Mash is currently not able to fully exploit the capabilities of modern multi-core architectures, which in turn leads to high runtimes for large-scale genomic datasets. Results We present RabbitMash, an efficient highly optimized implementation of Mash which can take full advantage of modern hardware including multi-threading, vectorization and fast I/O. We show that our approach achieves speedups of at least 1.3, 9.8, 8.5 and 4.4 compared to Mash for the operations sketch, dist, triangle and screen, respectively. Furtherm…

Statistics and ProbabilityWorkstationExploitComputer scienceHash functionParallel computingBiochemistrylaw.invention03 medical and health sciencesSoftwarelawCluster analysisMolecular Biology030304 developmental biology0303 health sciencesMulti-core processorGenomeComputersbusiness.industry030302 biochemistry & molecular biologyGenomicsSketchComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsbusinessAlgorithmsSoftwareBioinformatics
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Synthesis of tritiated derivatives of the diphenylether herbicides acifluorfen and acifluorfen methyl

1992

Acifluorfen 1 and acifluorfen methyl 2, two herbicides of the diphenylether family, are inhibitors of protoporphyrinogen oxidases. Two tritiated derivatives of these compounds, namely 3-[3H]-5-[2-chloro-4-(trifluoromethyl)phenoxy]-2-nitrobenzoic acid [3H]-1, and methyl 3-[3H]-5-[2-chloro-4-(trifluoromethyl)phenoxy]-2-nitrobenzoic acid [3H]-2, have been synthesised from 3-[3H]-5-hydroxybenzoic acid, in order to probe their interactions with the target enzymes.

Stereochemistry[SDV]Life Sciences [q-bio]Nitro compoundEtherAcifluorfenBiochemistryAnalytical Chemistry03 medical and health scienceschemistry.chemical_compoundMALHERBOLOGIEDrug DiscoveryPIPHENYL ETHERRadiology Nuclear Medicine and imagingSYNTHESESpectroscopyComputingMilieux_MISCELLANEOUS030304 developmental biologychemistry.chemical_classification0303 health sciencesTrifluoromethyl030302 biochemistry & molecular biologyOrganic Chemistry3. Good health[SDV] Life Sciences [q-bio]Enzyme inhibitionEnzymeAcifluorfen-methylchemistryProtoporphyrinogen oxidaseCHIMIE ORGANIQUE
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