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MicroRNAs (miRNAs), i.e. small non-coding RNA molecules (∼22 nt), can bind to one or more target sites on a gene transcript to negatively regulate protein expression, subsequently controlling many cellular mechanisms. A current and curated collection of miRNA-target interactions (MTIs) with experimental support is essential to thoroughly elucidating miRNA(More)
Escherichia coli has been engineered to produce isobutanol, with titers reaching greater than the toxicity level. However, the specific effects of isobutanol on the cell have never been fully understood. Here, we aim to identify genotype-phenotype relationships in isobutanol response. An isobutanol-tolerant mutant was isolated with serial transfers. Using(More)
Despite advances in operating system resource management and the availability of standardised container libraries, developing scalable high-capacity applications remains a nontrivial endeavour. Naïve implementations of fundamental algorithms often rapidly exhaust system resources under heavy load. Resolving this via manual refactoring is usually(More)
Currently, the accompanying side effects of anti-cancer drugs owing to incorrect delivery to normal tissues should be reduced. We present a database (MRTDD) with identified cancer highly-expressed membrane receptors (CHMRs) which can be used in targeted drug delivery. To evaluate the probability of occurrence of incorrect delivery, we calculate tissue index(More)
Some previous studies have identified bacteria in semen as being a potential factor in male infertility. However, only few types of bacteria were taken into consideration while using PCR-based or culturing methods. Here we present an analysis approach using next-generation sequencing technology and bioinformatics analysis to investigate the associations(More)
Eighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in normal samples (from people with a body mass index (BMI) ≤ 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium (3.9%),(More)
—Driven by an ever-increasing diversity of application contexts, execution environments and scalability requirements , modern software is faced with the challenge of frequent code refactoring. To address this, we have proposed an STL-like self-adaptive container library, which dynamically changes its data structures and resource usage to meet(More)