Feilong Deng

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In RNA-Seq studies, there are still many challenges for reliably assembling transcripts. Both genome-guided and de novo methods always produce too many false transcripts because of known and unknown factors. Therefore, the postassembly quality filtering is necessary before performing downstream analyses. Here, we present an automatic and efficient tool of(More)
There has been considerable focus in investigations on the delivery systems and clinical applications of bone morphogenetic protein‑2 (BMP‑2) for novel bone formation. However, current delivery systems require high levels of BMP‑2 to exert a biological function. There are several concerns in using of high levels of BMP‑2, including safety and the high cost(More)
Clustering of 16s rRNA amplicon sequences into operational taxonomic units (OTUs) is the most common bioinformatics pipeline for investigating microbial community by high-throughput sequencing technologies. However, the existing algorithms of OTUs clustering still remain to be improved at reliability. Here we propose an improved method (bioOTU) that first(More)
Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation. Here, we present PopSc, a bioinformatic toolkit for(More)
In silico analysis of DNA sequences is an important area of computational biology in the post-genomic era. Over the past two decades, computational approaches for ab initio prediction of gene structure from genome sequence alone have largely facilitated our understanding on a variety of biological questions. Although the computational prediction of(More)
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