Titlebook: Database and Expert Systems Applications; DEXA 2019 Internatio Gabriele Anderst-Kotsis,A Min Tjoa,Michael Granitz Conference proceedings 20

CHURL

An Approach for LPF Table Computational length of factors re-occurring at each position of a string and this table is useful for text compression. The LPF table has the important role for computational biology, data compression and string algorithms. In this paper, we present an approach to compute the LPF table of a string from its su

Neutropenia

Smart Persistence and Accessibility of Genomic and Clinical Datatelligently manage them. The advent of the Big Data era posed new challenges that led to the development of novel methods and tools, which were initially born to face with computational science problems, but which nowadays can be widely applied on biomedical data. In this work, we address two biomed

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A Review of Quasi-perfect Secondary Structure Prediction Serversin backbone. Further refinements have been made since then, such as the description and identification of first 3, then 8 local conformational states [.]. The accuracy of 3-state secondary structure prediction has risen during last 3 decades and now we are approaching to the theoretical limit of 88–

主讲人

Theoretical and Practical Analyses in Metagenomic Sequence Classification primary objectives of metagenomic studies is to assign a taxonomic identity to each read sequenced from a sample and then to estimate the abundance of the known clades. With ever-increasing metagenomic datasets obtained from high-throughput sequencing technologies readily available nowadays, severa

Vertebra

mirLSTM: A Deep Sequential Approach to MicroRNA Target Binding Site Prediction post-transcriptional level and cause translational inhibition or mRNA cleavage. Quick and effective detection of the binding sites of miRNAs is a major problem in bioinformatics. In this study, a deep learning approach based on Long Short Term Memory (LSTM) is developed with the help of an existing

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