Results 61 to 70 of about 2,130,247 (378)
Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.
Cancer Genomics & Proteomics, 2018 Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping.
Shujun Huang +5 more
semanticscholar +1 more source
Heredity, 2019 The human genome is not randomly organised, with respect to both the linear organisation of the DNA sequence along chromosomes and to the spatial organisation of chromosomes in the cell nucleus. Here I discuss how these patterns of sequence organisation were first discovered by molecular biologists and how they relate to the patterns revealed decades ...
openaire +3 more sources
Comparative and Functional Genomics, 2004 AbstractWith the development of genomic science and its battery of technologies, polar biology stands on the threshold of a revolution, one that will enable the investigation of important questions of unprecedented scope and with extraordinary depth and precision.
Clark, Melody S +11 more
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Rad27/FEN1 prevents accumulation of Okazaki fragments and ribosomal DNA copy number changes
FEBS Letters, EarlyView.The budding yeast Rad27 is a structure‐specific endonuclease. Here, the authors reveal that Rad27 is crucial for maintaining the stability of the ribosomal RNA gene (rDNA) region. Rad27 deficiency leads to the accumulation of Okazaki fragments and changes in rDNA copy number.
Tsugumi Yamaji +3 more
wiley +1 more source
Frontiers in Public HealthIntroductionPathogen genomics, where whole genome sequencing technologies are used to produce complete genomic sequences of pathogens, is being increasingly used for infectious disease surveillance and outbreak response. Although proof-of-concept studies
James D. H. Ong +8 more
doaj +1 more source
Can an infectious disease genomics project predict and prevent the next pandemic? [PDF]
PLoS Biology, 2009 The world of genomics is transforming medicine, and is likely to influence the future development of new drugs, diagnostics, and vaccines. To date, the greater focus of genomics and medicine has been on conditions affecting resourcewealthy settings ...
Rajesh Gupta +2 more
doaj +1 more source
Vacuolar transport and function of Saccharomyces cerevisiae sterol ester hydrolase Tgl1
FEBS Letters, EarlyView.Tgl1, one of yeast sterol ester hydrolases, had been found on the lipid droplets where sterol esters are mainly stored. This study revealed that Tgl1 is transported into the vacuole depending on the ESCRT‐I–III complex, and that it exhibits intra‐vacuolar sterol ester hydrolase activity.
Takumi Nakatsuji +5 more
wiley +1 more source
The Governance of Genomic Information: Will It Come of Age? [PDF]
, 2006 The completion of the Human Genome Project has opened up unprecedented possibilities in healthcare, but also ethical and social dilemmas in terms of how these can be achieved. Genomic information can be seen as a 'global public good' (GPG), in that it is
Langlois, Adele
core +1 more source
An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots
FEBS Letters, EarlyView.This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino +7 more
wiley +1 more source
Deep Learning of radiology-genomics integration for computational oncology: A mini review
Computational and Structural Biotechnology JournalIn the field of computational oncology, patient status is often assessed using radiology-genomics, which includes two key technologies and data, such as radiology and genomics.
Feng-ao Wang, Yixue Li, Tao Zeng
doaj +1 more source