Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1102121 | ENA |
REPOSITORIES: ENA
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Project description:This is genome-scale metabolic model of Candida albicans as the representative yeast species for the clade CUG-Ser1. This model was generated through homology search using a fungal pan-GEM largely based on Yeast8 for Saccharomyces cerevisiae, in addition to manual curation.
This model has been produced by the Yeast-Species-GEMs project from Sysbio (www.sysbio.se). This is model version 1.0.0 accompanying the publication (DOI: 10.15252/msb.202110427), currently hosted on BioModels Database and identified by MODEL2109130014. Further curations of this model will be tracked in the GitHub repository: https://github.com/SysBioChalmers/Yeast-Species-GEMs
Models for species of the same clade includes: Babjeviella inositovora; Candida albicans; Candida auris; Candida carpophila; Candida dubliniensis; Hyphopichia homilentoma; Candida intermedia; Candida orthopsilosis; Candida parapsilosis; Candida sojae; Suhomyces tanzawaensis; Yamadazyma tenuis; Candida tropicalis; Clavispora lusitaniae; Debaryomyces hansenii; Hyphopichia burtonii; Lodderomyces elongisporus; Metschnikowia aberdeeniae; Metschnikowia arizonensis; Metschnikowia bicuspidata var. bicuspidata; Metschnikowia borealis; Metschnikowia bowlesiae; Metschnikowia cerradonensis; Metschnikowia continentalis; Metschnikowia dekortorum; Metschnikowia drakensbergensis; Metschnikowia hamakuensis; Metschnikowia hawaiiensis; Metschnikowia hibisci; Metschnikowia ipomoeae; Metschnikowia kamakouana; Metschnikowia kipukae; Metschnikowia lochheadii; Metschnikowia matae var. matae; Metschnikowia matae var. maris; Metschnikowia mauinuiana; Metschnikowia proteae; Metschnikowia santaceciliae; Metschnikowia shivogae; Metschnikowia similis; Meyerozyma guilliermondii; Millerozyma acaciae; Priceomyces haplophilus; Scheffersomyces lignosus; Scheffersomyces stipitis; Spathaspora arborariae; Spathaspora girioi; Spathaspora gorwiae; Spathaspora hagerdaliae; Spathaspora passalidarum; Wickerhamia fluorescens; Priceomyces medius; Candida athensensis; Candida schatavii; Candida restingae; Aciculoconidium aculeatum; Kodamaea laetipori; Danielozyma ontarioensis; Candida oregonensis; Candida fructus; Candida corydali; Cephaloascus albidus; Cephaloascus fragrans; Suhomyces pyralidae; Suhomyces canberraensis; Suhomyces emberorum; Teunomyces kruisii; Teunomyces gatunensis; Teunomyces cretensis; Yamadazyma nakazawae; Priceomyces carsonii; Priceomyces castillae; Candida fragi; Hyphopichia heimii; Candida blattae; Yamadazyma philogaea; Yamadazyma scolyti; Meyerozyma caribbica; Kurtzmaniella cleridarum; Kodamaea ohmeri; Candida rhagii; Candida gotoi; Candida heveicola; Debaryomyces prosopidis; Debaryomyces nepalensis; Debaryomyces maramus; Candida hawaiiana; Debaryomyces subglobosus; Debaryomyces fabryi; Candida tammaniensis; Candida wancherniae; Candida ascalaphidarum; Candida golubevii; Candida gorgasii. These models are available in the zip file.
To cite BioModels, please use: V Chelliah et al; BioModels: ten-year anniversary. Nucleic Acids Res 2015; 43 (D1): D542-D548. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to MIT License for more information.
2021-11-01 | MODEL2109130014 | BioModels
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
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Project description:The study is intended to collect specimens to support the application of genome analysis technologies, including large-scale genome sequencing. This study will ultimately provide cancer researchers with specimens that they can use to develop comprehensive catalogs of genomic information on at least 50 types of human cancer. The study will create a resource available to the worldwide research community that could be used to identify and accelerate the development of new diagnostic and prognostic markers, new targets for pharmaceutical interventions, and new cancer prevention and treatment strategies. This study will be a competitive enrollment study conducted at multiple institutions.
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Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
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