0000000000657373

AUTHOR

Ahmed Ibrahem Hafez

showing 5 related works from this author

Client Applications and Server-Side Docker for Management of RNASeq and/or VariantSeq Workflows and Pipelines of the GPRO Suite

2023

The GPRO suite is an in-progress bioinformatic project for -omics data analysis. As part of the continued growth of this project, we introduce a client- and server-side solution for comparative transcriptomics and analysis of variants. The client-side consists of two Java applications called “RNASeq” and “VariantSeq” to manage pipelines and workflows based on the most common command line interface tools for RNA-seq and Variant-seq analysis, respectively. As such, “RNASeq” and “VariantSeq” are coupled with a Linux server infrastructure (named GPRO Server-Side) that hosts all dependencies of each application (scripts, databases, and command line interface software). Implementation of the Serv…

:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]PipelinesArtificial intelligenceRNA sequenceRNASeqGraphical user interfaces (Computer systems)WorkflowsVariantSeqGeneticsInterface environmentsLinux device driversGenomesGenetics (clinical)Server-sideResequencingGenes
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Reverse-transcribing viruses (Belpaoviridae, Metaviridae, and Pseudoviridae)

2021

Fourth Edition.

0303 health sciencesbiologyRetrotransposonPseudoviridaebiology.organism_classificationLong terminal repeat3. Good health03 medical and health sciences0302 clinical medicineOrder (biology)RetrovirusEvolutionary biology030220 oncology & carcinogenesisComputingMethodologies_DOCUMENTANDTEXTPROCESSINGCaulimoviridaeMetaviridaeGeneGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)030304 developmental biology
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CROSSMAPPER: estimating cross-mapping rates and optimizing experimental design in multi-species sequencing studies

2020

Motivation Numerous sequencing studies, including transcriptomics of host-pathogen systems, sequencing of hybrid genomes, xenografts, mixed species systems, metagenomics and meta-transcriptomics, involve samples containing genetic material from divergent organisms. A crucial step in these studies is identifying from which organism each sequencing read originated, and the experimental design should be directed to minimize biases caused by cross-mapping of reads to incorrect source genomes. Additionally, pooling of sufficiently different genetic material into a single sequencing library could significantly reduce experimental costs but requires careful planning and assessment of the impact of…

Statistics and Probability:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]Computer sciencecomputer.software_genreBiochemistryGenomeTranscriptome03 medical and health sciencesResource (project management)GenomesTranscriptomicsMolecular BiologyOrganismGenòmica -- Informàtica030304 developmental biology0303 health sciences030306 microbiologyHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNADNAGenome analysisGenome AnalysisAnàlisis de seqüènciesComputer Science ApplicationsApplications NoteComputational MathematicsComputational Theory and MathematicsCross-mappingResearch DesignMetagenomicsRNAData miningLine (text file)computerSoftwareGenèticaparametres
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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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Genome Sequencing and Transcriptome Analysis Reveal Recent Species-Specific Gene Duplications in the Plastic Gilthead Sea Bream (Sparus aurata)

2019

Gilthead sea bream is an economically important fish species that is remarkably well-adapted to farming and changing environments. Understanding the genomic basis of this plasticity will serve to orientate domestication and selective breeding toward more robust and efficient fish. To address this goal, a draft genome assembly was reconstructed combining short- and long-read high-throughput sequencing with genetic linkage maps. The assembled unmasked genome spans 1.24 Gb of an expected 1.59 Gb genome size with 932 scaffolds (~732 Mb) anchored to 24 chromosomes that are available as a karyotype browser at www.nutrigroup-iats.org/seabreamdb. Homology-based functional annotation, supported by R…

0106 biological sciencesTransposable element010504 meteorology & atmospheric scienceslcsh:QH1-199.5Adaptive plasticitytransposon mobilizationOcean EngineeringRetrotransposonAquatic ScienceBiologylcsh:General. Including nature conservation geographical distributionOceanography01 natural sciencesGenomeimmune responsegilthead sea breamGene family14. Life underwaterresponse to stimuluslcsh:ScienceGeneGenome size0105 earth and related environmental sciencesWater Science and TechnologySyntenyGlobal and Planetary Changegene duplications010604 marine biology & hydrobiologyphylogenomicsEvolutionary biologylcsh:QMobilomeFrontiers in Marine Science
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