Repeated gene manipulations can be performed in yeast by excision of an introduced marker. Cassette modules containing a marker flanked by two direct repeat sequences of hisG or loxP have often been used for marker recycling, but these leave one copy of the repeats in the chromosome after excision. Genomic copies of a repeat can cause increased mistargeting of constructs containing the same repeats or unexpected chromosomal rearrangements via intra- or interchromosomal recombinations. Here, we describe a novel marker recycling procedure that leaves no scar in the genome, which we have designated seamless gene deletion. A 40 base sequence derived from an adjacent region to the targeted locus was placed in an integrating construct to generate direct repeats after integration. Seamless HIS3 deletion was achieved via a PCR fragment that consisted of a URA3 marker attached to a 40 base repeat-generating sequence flanked by HIS3 targeting sequences at both ends. Transformation of the designed construct resulted in his3 disruption and the generation of 40 base direct repeats on both sides of URA3 in the targeted locus. The resulting his3::URA3 disruptants were plated on 5-fluoroorotic acid medium to select for URA3 loss. All the selected colonies had lost URA3 precisely by recombination between the repeats, resulting in his3 deletion without any extraneous sequences left behind in the chromosome. 相似文献
A new surface profiling algorithm called the local model fitting (LMF) method is proposed. LMF is a single-shot method that employs only a single image, so it is fast and robust against vibration. LMF does not require a conventional assumption of smoothness of the target surface in a band-limit sense, but we instead assume that the target surface is locally constant. This enables us to recover sharp edges on the surface. LMF employs only local image data, so objects covered with heterogeneous materials can also be measured. The LMF algorithm is simple to implement and is efficient in computation. Experimental results showed that the proposed LMF method works very well. 相似文献
The effect of trace amounts of NaCl vapor on thehigh-temperature oxidation of TiAl was examined bythermogravimetry and analysis of the scale formed onTiAl. The mass gain due to oxidation at 1273 K in O2 with trace amounts of NaCl vaporwas far lower than that in pure O2 withoutNaCl vapor. This low mass gain in the atmosphere withtrace amounts of NaCl vapor resulted from the saturationbehavior of mass gain during the initial period ofoxidation. It was found from X-ray photoemissionspectroscopy (XPS) analyses of the specimen surface thatthe oxide film formed during the initial period in theatmosphere with trace amounts of NaCl vapor consisted ofdense Al2O3, thus, the lowoxidation rate of TiAl was attributed to a protectiveoxide film of denseAl2O3. 相似文献
Asymmetric rolling (ASR) can introduce larger shear strains than symmetric rolling (SR). Therefore, application of ASR to metal-based multiphase alloy containing platelet particles will yield different particle distributions compared with SR. In this study, differences in the fragmentation behavior of Al3Ti platelet particles in Al–Al3Ti multiphase alloy after SR or ASR were investigated in three dimensions. The size of the Al3Ti platelet particles in the ASR-treated multiphase alloy was smaller than that in the SR-treated multiphase alloy. The platelet shape of the Al3Ti particles in the multiphase alloy deformed by rolling was retained because deformation by rolling occurs via plane strain. The results show that both SR and ASR can be used to modify the distribution of Al3Ti platelet particles in Al–Al3Ti multiphase alloy, but that ASR can change it more severely.
Data points situated near a cluster boundary are called boundary points and they can represent useful information about the process generating this data. The existing methods of boundary points detection cannot differentiate boundary points from outliers as they are affected by the presence of outliers as well as by the size and density of clusters in the dataset. Also, they require tuning of one or more parameters and prior knowledge of the number of outliers in the dataset for tuning. In this research, a boundary points detection method called BPF is proposed which can effectively differentiate boundary points from outliers and core points. BPF combines the well-known outlier detection method Local Outlier Factor (LOF) with Gravity value to calculate the BPF score. Our proposed algorithm StaticBPF can detect the top-m boundary points in the given dataset. Importantly, StaticBPF requires tuning of only one parameter i.e. the number of nearest neighbors \((k)\) and can employ the same \(k\) used by LOF for outlier detection. This paper also extends BPF for streaming data and proposes StreamBPF. StreamBPF employs a grid structure for improving k-nearest neighbor computation and an incremental method of calculating BPF scores of a subset of data points in a sliding window over data streams. In evaluation, the accuracy of StaticBPF and the runtime efficiency of StreamBPF are evaluated on synthetic and real data where they generally performed better than their competitors.