wholegenome sequencing (WholeGenome LLC)
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Wholegenome Sequencing, supplied by WholeGenome LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dna+methylation+array+platform/wholegenome+sequencing/pm36893482-478-27-22
Average 90 stars, based on 1 article reviews
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RNA Sequencing:Article Title: T-DNAreader: fast and precise identification of T-DNA insertion sites in plant genomes using RNA sequencing data. Article Snippet: .. Keywords: T-DNA, T-DNA insertion site, Unannotated T-DNA, RNA-seq, Sequencing:Article Title: T-DNAreader: fast and precise identification of T-DNA insertion sites in plant genomes using RNA sequencing data. Article Snippet: .. Keywords: T-DNA, T-DNA insertion site, Unannotated T-DNA, RNA-seq, Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Article Title: Recomb-Mix: fast and accurate local ancestry inference. Article Snippet: .. The input data were individuals in Article Title: Unravelling homologous recombination repair deficiency and therapeutic opportunities in soft tissue and bone sarcoma Article Snippet: .. We expanded our investigation of genomic instability in STS with an additional cohort of 21 cases of angiosarcoma, a malignancy that affects blood and lymphatic vessels, that were profiled using Article Title: AI-Accelerated Identification of Novel Antimicrobial Peptides for Inhibiting Fusarium graminearum . Article Snippet: Fusarium head blight caused by Fusarium graminearum threatens global wheat production, causing substantial yield reduction and mycotoxin accumulation.. This study harnessed machine learning to accelerate the discovery of antifungal peptides targeting this phytopathogen.. By developing a de novo antimicrobial peptide database and extracting six critical physicochemical features, we established four predictive models with XGBoost demonstrating superior performance (R2 = 0.77, RMSE = 1.8). Article Title: Are Babesia vogeli genotypes associated with Rhipicephalus sanguineus and Rhipicephalus linnaei distribution? Article Snippet: .. Article Title: Genome-wide association studies and candidate genes networks affecting reproductive traits using Iranian Holstein sequence data. Article Snippet: .. Daetwyler HD, Capitan A, Pausch H, Stothard P, Van Binsbergen R, Brøndum RF, Liao X, Djari A, Rodriguez SC, Grohs C, Article Title: GPC3: a novel mutated gene in pleuropulmonary blastoma. Article Snippet: .. Keywords Pleuropulmonary blastoma, GPC3 mutation, Prognostic biomarker, Chromatin Immunoprecipitation:Article Title: T-DNAreader: fast and precise identification of T-DNA insertion sites in plant genomes using RNA sequencing data. Article Snippet: .. Keywords: T-DNA, T-DNA insertion site, Unannotated T-DNA, RNA-seq, Marker:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Expressing:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Staining:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Imaging:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Whole Complete genome sequencing:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. Marker expression analysis demonstrated similar staining patterns for Ki67, p53, and Muc2 (Figure 1C), with proportions of Ki67-positive cells further correlating with PDTO growth rates as determined by time-lapse imaging (Figure 1D).25 Mutagenesis:Article Title: Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer Article Snippet: .. 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