Major text summarization research is mainly focusing on summarizing short documents and very few works witnessed for long document summarization. Additionally, extractive more addressed as compared with abstractive Abstractive summarization, unlike does not only copy essential words from the original but requires paraphrasing to get close human generated summary. The machine learning, deep lear...

BACKGROUND It is difficult to identify copy number variations (CNV) in normal human genomic data due to noise and non-linear relationships between different genomic regions and signal intensity. A high-resolution array comparative genomic hybridization (aCGH) containing 42 million probes, which is very large compared to previous arrays, was recently published. Most existing CNV detection algori...

As the workstation market moves form single processor to small-scale shared memory multiprocessors, it is very attractive to construct larger-scale multiprocessors by connecting symmetric multiprocessors (SMPs) with eecient commodity network interfaces such as Myrinet. Using a shared virtual memory (SVM) layer for this purpose preserves the shared memory programming abstraction across nodes. We...

Variable gene expression amongst transgenic lines occurs due to copy number and to random associations of incoming DNA with chromosomal elements at the site of integration. Here we describe a method of identifying sites permissive for transgene expression and their use for efficient introduction of single copy transgenes by homologous recombination. ES clones were selected in HAT medium for exp...

In situ detection of functional genes is informative for understanding microbial physiology. Most methods of detecting functional genes employ multiple oligonucleotides or polynucleotide probes. However, single oligonucleotide probes are superior in terms of specificity and flexibility in probe design. Here we describe the detection of a single copy functional gene, the methyl coenzyme M reduct...

This paper proposes a method for detecting plagiarism in source-codes using deep features. The embeddings for programs are obtained using a character-level Recurrent Neural Network (char-RNN), which is pre-trained on Linux Kernel source-code. Many popular plagiarism detection tools are based on n-gram techniques at syntactic level. However, these approaches to plagiarism detection fail to captu...

1389-1286/$ see front matter 2012 Elsevier B.V http://dx.doi.org/10.1016/j.comnet.2012.04.014 ⇑ Corresponding author. Tel.: +82 2 3277 3403; fa E-mail address: [email protected] (H. Lim). Packet classification is one of the most challenging functions in Internet routers since it involves a multi-dimensional search that should be performed at wire-speed. Hierarchical packet classification is an ef...

BACKGROUND In single-cell human genome analysis using whole-genome amplified product, a strong amplification bias involving allele dropout and preferential amplification hampers the quality of results. Using an oligonucleotide single nucleotide polymorphism (SNP) array, we systematically examined the nature of this amplification bias, including frequency, degree, and preference for genomic loca...