Search results for "computational"

showing 10 items of 5884 documents

NMR Exchange Format: a unified and open standard for representation of NMR restraint data

2015

SCOPUS: le.j

0303 health sciencesElectronic Data ProcessingMagnetic Resonance SpectroscopyComputer sciencebusiness.industryeducationRepresentation (systemics)virus diseasesGénéralitésNuclear magnetic resonance spectroscopy010402 general chemistry01 natural sciencesArticle0104 chemical sciencesComputational science03 medical and health sciencesSoftwareNuclear magnetic resonanceStructural BiologyOpen standard[CHIM.ANAL]Chemical Sciences/Analytical chemistrybusinessMolecular BiologySoftware030304 developmental biologyNature structural & molecular biology
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Towards identifying drug side effects from social media using active learning and crowd sourcing.

2019

Motivation Social media is a largely untapped source of information on side effects of drugs. Twitter in particular is widely used to report on everyday events and personal ailments. However, labeling this noisy data is a difficult problem because labeled training data is sparse and automatic labeling is error-prone. Crowd sourcing can help in such a scenario to obtain more reliable labels, but is expensive in comparison because workers have to be paid. To remedy this, semi-supervised active learning may reduce the number of labeled data needed and focus the manual labeling process on important information. Results We extracted data from Twitter using the public API. We subsequently use Ama…

0303 health sciencesFocus (computing)Information retrievalDrug-Related Side Effects and Adverse ReactionsProcess (engineering)business.industryActive learning (machine learning)Computer scienceComputational BiologyCrowdsourcing03 medical and health sciences0302 clinical medicineProblem-based learningCode (cryptography)CrowdsourcingHumansSocial media030212 general & internal medicinebusinessBaseline (configuration management)Social Media030304 developmental biologyPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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Graph-based network analysis of transcriptional regulation pattern divergence in duplicated yeast gene pairs

2019

The genome and interactome of Saccharomyces cerevisiae have been characterized extensively over the course of the past few decades. However, despite many insights gained over the years, both functional studies and evolutionary analyses continue to reveal many complexities and confounding factors in the construction of reliable transcriptional regulatory network models. We present here a graph-based technique for comparing transcriptional regulatory networks based on network motif similarity for gene pairs. We construct interaction graphs for duplicated transcription factor pairs traceable to the ancestral whole-genome duplication as well as other paralogues in Saccharomyces cerevisiae. We c…

0303 health sciencesGene regulatory networkComputational biologyBiologyGenomeInteractomeGenetic divergence03 medical and health sciencesNetwork motif0302 clinical medicineGene duplicationDivergence (statistics)Gene030217 neurology & neurosurgery030304 developmental biologyProceedings of the Tenth International Conference on Computational Systems-Biology and Bioinformatics
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Network motif-based analysis of regulatory patterns in paralogous gene pairs

2020

Current high-throughput experimental techniques make it feasible to infer gene regulatory interactions at the whole-genome level with reasonably good accuracy. Such experimentally inferred regulatory networks have become available for a number of simpler model organisms such as S. cerevisiae, and others. The availability of such networks provides an opportunity to compare gene regulatory processes at the whole genome level, and in particular, to assess similarity of regulatory interactions for homologous gene pairs either from the same or from different species. We present here a new technique for analyzing the regulatory interaction neighborhoods of paralogous gene pairs. Our central focu…

0303 health sciencesGenomeGene regulatory networkComputational BiologyWhole genome duplicationSaccharomyces cerevisiaeComputational biologyParalogous GeneBiologyBiochemistryComputer Science ApplicationsEvolution Molecular03 medical and health sciencesNetwork motif0302 clinical medicineGene DuplicationEscherichia coliAnimalsGene Regulatory NetworksCaenorhabditis elegansMolecular BiologyGene030217 neurology & neurosurgeryTranscription Factors030304 developmental biologyJournal of Bioinformatics and Computational Biology
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Practicing logical reasoning through Drosophila segmentation gene mutants.

2021

Laboratory practical sessions are critical to scientific training in biology but usually fail to promote logical and hypothesis-driven reasoning and rely heavily on the teacher's instructions. This paper describes a 2-day laboratory practicum in which students prepare and analyze larval cuticle preparations of Drosophila segmentation gene mutant strains. Embryonic segmentation involves three major classes of genes according to their loss-of-function phenotypes: the establishment of broad regions by gap genes, the specification of the segments by the pair-rule genes, and the compartments within segments by the segment polarity genes. Students are asked to sort undefined segmentation mutants …

0303 health sciencesLogical reasoningeducation05 social sciencesMutant050301 educationPracticumGene Expression Regulation DevelopmentalComputational biologyBiologyBiochemistry03 medical and health sciencesSegmentation geneSegment polarity genePhenotypeLogical conjunctionAnimalsHumansSegmentationDrosophila0503 educationMolecular BiologyGap gene030304 developmental biologyBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyREFERENCES
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Problems in time-intensity measurements. A case study-Bitterness evaluation in water solutions and in beers

1992

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsChemistryAnalytical chemistry04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceComputational physics03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringTime intensityComputingMilieux_MISCELLANEOUSFood Science
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Inferring Horizontal Gene Transfer with DarkHorse, Phylomizer, and ETE Toolkits

2020

In this chapter, we describe how to use DarkHorse2.0 to search for xenologs in the genome of the cyanobacterium Synechococcus elongatus PCC 7942. DarkHorse is an implicit phylogenetic method that uses BLAST searches to identify proteins having close homologs of unexpected taxonomic affiliation. Once a set of putative xenologs are identified, Phylomizer is used to reconstruct phylogenetic trees. Phylomizer reproduces all the necessary steps to perform a basic phylogenetic analysis. The combined use of DarkHorse and Phylomizer allows the identification of genes incorporated into a given genome by HGT.

0303 health sciencesPhylogenetic treeCombined usemacromolecular substancesComputational biologyBiologyGenome03 medical and health sciences0302 clinical medicineMolecular evolutionPhylogeneticsIdentification (biology)GeneInferring horizontal gene transfer030217 neurology & neurosurgery030304 developmental biology
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2020

AbstractDeveloping methods for accurate detection of RNA modifications remains a major challenge in epitranscriptomics. Next-generation sequencing-based mapping approaches have recently emerged but, often, they are not quantitative and lack specificity. Pseudouridine (ψ), produced by uridine isomerization, is one of the most abundant RNA modification. ψ mapping classically involves derivatization with soluble carbodiimide (CMCT), which is prone to variation making this approach only semi-quantitative. Here, we developed ‘HydraPsiSeq’, a novel quantitative ψ mapping technique relying on specific protection from hydrazine/aniline cleavage. HydraPsiSeq is quantitative because the obtained sign…

0303 health sciencesSequence analysisRNAComputational biologyRibosomal RNABiologyCleavage (embryo)UridineIn vitroPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicinechemistryEpitranscriptomicsGenetics030217 neurology & neurosurgery030304 developmental biologyNucleic Acids Research
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DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes

2019

Abstract Epigenomics is the study of modifications on the genetic material of a cell that do not depend on changes in the DNA sequence, since those latter involve specific proteins around which DNA wraps. The end result is that Epigenomic changes have a fundamental role in the proper working of each cell in Eukaryotic organisms. A particularly important part of Epigenomics concentrates on the study of chromatin, that is, a fiber composed of a DNA-protein complex and very characterizing of Eukaryotes. Understanding how chromatin is assembled and how it changes is fundamental for Biology. In more than thirty years of research in this area, Mathematics and Theoretical Computer Science have gai…

0303 health sciencesSettore INF/01 - InformaticaGeneral Computer ScienceFiber (mathematics)0102 computer and information sciencesComputational biology01 natural sciencesNucleosome occupancyGenomeDNA sequencingTheoretical Computer ScienceChromatinComputational biology03 medical and health scienceschemistry.chemical_compoundchemistry010201 computation theory & mathematicsComputer ScienceAlgorithms and complexityFormal languageA fibersDNACombinatorics on word030304 developmental biologyEpigenomicsTheoretical Computer Science
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Correction

2019

ABSTRACT During gastrulation, embryonic cells become specified into distinct germ layers. In mouse, this continues throughout somitogenesis from a population of bipotent stem cells called neuromesodermal progenitors (NMps). However, the degree of self-renewal associated with NMps in the fast-developing zebrafish embryo is unclear. Using a genetic clone-tracing method, we labelled early embryonic progenitors and found a strong clonal similarity between spinal cord and mesoderm tissues. We followed individual cell lineages using light-sheet imaging, revealing a common neuromesodermal lineage contribution to a subset of spinal cord tissue across the anterior-posterior body axis. An initial pop…

0303 health sciencesTailbudGastrulationCorrection205Computational biologyBiologySpinal cordImaging dataData availability03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureAxial elongationmedicineMolecular BiologyZebrafish030217 neurology & neurosurgeryResearch Article030304 developmental biologyDevelopmental BiologyDevelopment (Cambridge)
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