Xuanmin Guang

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BACKGROUND Protein-protein interactions (PPIs) are crucial for almost all cellular processes, including metabolic cycles, DNA transcription and replication, and signaling cascades. Given the importance of PPIs, several methods have been developed to detect them. Since the experimental methods are time-consuming and expensive, developing computational(More)
BACKGROUND MicroRNA (miRNA), which is short non-coding RNA, plays a pivotal role in the regulation of many biological processes and affects the stability and/or translation of mRNA. Recently, machine learning algorithms were developed to predict potential miRNA targets. Most of these methods are robust but are not sensitive to redundant or irrelevant(More)
A three-stage support vector machine (SVM) was constructed to predict the state of cysteines by fusing sequence information, evolution information and annotation information of protein sequences. The first and second stages were for predicting whether the protein sequences contain disulfide bonds and whether all of the cysteines are involved in disulfide(More)
Gayal (Bos frontalis) is a semi-wild and endangered bovine species that differs from domestic cattle (Bos taurus and Bos indicus), and its genetic background remains unclear. Here, we performed whole-genome sequencing of one Gayal for the first time, with one Red Angus cattle and one Japanese Black cattle as controls. In total, 97.8 Gb of sequencing reads(More)
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