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IEEE/ACM Transactions on Computational Biology and Bioinformatics

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https://www.readbyqxmd.com/read/28910776/fastetch-a-fast-sketch-based-assembler-for-genomes
#1
Priyanka Ghosh, Ananth Kalyanaraman
De novo genome assembly describes the process of reconstructing an unknown genome from a large collection of short (or long) reads sequenced from the genome. A single run of a Next-Generation Sequencing (NGS) technology can produce billions of short reads, making genome assembly computationally demanding (both in terms of memory and time). One of the major computational steps in modern day short read assemblers involves the construction and use of a string data structure called the de Bruijn graph. In fact, a majority of short read assemblers build the complete de Bruijn graph for the set of input reads, and subsequently traverse and prune low-quality edges, in order to generate genomic "contigs"-the output of assembly...
September 11, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28885159/identification-of-protein-complexes-by-using-a-spatial-and-temporal-active-protein-interaction-network
#2
Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
The rapid development of proteomics and high-throughput technologies has produced a large amount of Protein-Protein Interaction (PPI) data, which makes it possible for considering dynamic properties of protein interaction networks (PINs) instead of static properties. Identification of protein complexes from dynamic PINs becomes a vital scientific problem for understanding cellular life in the post genome era. Up to now, a plenty of models or methods have been proposed for the construction of dynamic PINs to identify protein complexes...
September 7, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28885158/reduction-of-qualitative-models-of-biological-networks-for-transient-dynamics-analysis
#3
Loic Pauleve
Qualitative models of dynamics of signalling pathways and gene regulatory networks allow to capture temporal properties of biological networks while requiring few parameters. However, these discrete models typically suffer from the so-called state space explosion problem which makes the formal assessment of their potential behaviours very challenging.
September 6, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28880187/integrating-imaging-genomic-data-in-the-quest-for-biomarkers-for-schizophrenia-disease
#4
Su-Ping Deng, Wenxing Hu, Vince D Calhoun, Yu-Ping Wang
It's increasingly important but difficult to determine potential biomarkers of schizophrenia disease, owing to the complex pathophysiology of this disease. In this study, a network-fusion based framework was proposed to identify genetic biomarkers of complex diseases. Genomic, epigenomic and neuroimaging data were integrated by network fusion. A three-step feature selection was applied to single nucleotide polymorphisms (SNPs), DNA methylation and functional magnetic resonance imaging (fMRI) data to select Important features, which were then used to construct two gene networks in different states for the SNPs and DNA methylation data, respectively...
September 4, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28858809/coevolutionary-structure-redesigned-based-bacterial-foraging-optimization
#5
B Niu, J Liu, T Wu, X H Chu, Z X Wang, Y M Liu
This paper presents a Coevolutionary Structure-Redesigned-Based Bacteria Foraging Optimization (CSRBFO) based on the natural phenomenon that most living creatures tend to cooperate with each other so as to fulfill tasks more effectively. Aiming at lowering computational complexity while maintaining the critical search capability of standard bacterial foraging optimization (BFO), we employ a general loop to replace the nested loop and eliminate the reproduction step of BFO. Hence, the proposed CSRBFO only consists of two main steps: (1) chemotaxis and (2) elimination & dispersal...
August 29, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28858811/network-clustering-analysis-using-mixture-exponential-family-random-graph-models-and-its-application-in-genetic-interaction-data
#6
Yishu Wang, Hongyu Zhao, Minghua Deng, Huaying Fang, Dejie Yang
Epistatic miniarrary profile (EMAP) studies have enabled the mapping of large-scale genetic interaction networks and generated large amounts of data in model organisms. It provides an incredible set of molecular tools and advanced technologies that should be efficiently understanding the relationship between the genotypes and phenotypes of individuals. However, the network information gained from EMAP cannot be fully exploited using the traditional statistical network models. Because the genetic network is always heterogeneous, for example, the network structure features for one subset of nodes are different from those of the left nodes...
August 24, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28858810/optimizing-phylogenetic-queries-for-performance
#7
Hasan M Jamil
The vast majority of phylogenetic databases do not support declarative querying using which their contents can be flexibly and conveniently accessed and the template based query interfaces they support do not allow arbitrary speculative queries. They therefore also do not support query optimization leveraging unique phylogeny properties. While a small number of graph query languages such as XQuery, Cypher and GraphQL exist for computer savvy users, most are too general and complex to be useful for biologists, and too inefficient for large phylogeny querying...
August 24, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28829315/multiple-network-alignment-via-multimagna
#8
Vipin Vijayan, Tijana Milenkovic
Network alignment (NA) aims to find a node mapping that identifies topologically or functionally similar network regions between molecular networks of different species. Analogous to genomic sequence alignment, NA can be used to transfer biological knowledge from well- to poorly-studied species between aligned network regions. Pairwise NA (PNA) finds similar regions between two networks while multiple NA (MNA) can align more than two networks. We focus on MNA. Existing MNA methods aim to maximize total similarity over all aligned nodes (node conservation)...
August 21, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28796621/influence-of-secretion-on-airflow-dynamics-of-mechanical-ventilated-respiratory-system
#9
Shuai Ren, Yan Shi, Maolin Cai, Weiqing Xu
Secretions in the airways of mechanical ventilated patients are extremely dangerous to patients' health. In recent studies, the continuous constant airflow is adopted, however it is not consistent with clinical situation. To study respiratory airflow dynamic characteristics with secretion in the airways, a mathematical model based on clinical mechanical ventilation is established in this paper. Through the experimental study, the accuracy and dependability of the model are confirmed. To illustrate the secretion's influence of on the airflow dynamics of mechanical ventilated respiratory system, three key parameters which are cross section area ratio of secretion/ pipe, air-secretion contact area and secretion viscosity are involved in the study...
August 9, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28792904/bijective-diameters-of-gene-tree-parsimony-costs
#10
Pawel Gorecki, Oliver Eulenstein
Synthesizing median trees from a collection of gene trees under the biologically motivated gene tree parsimony (GTP) costs has provided credible species tree estimates. GTP costs are defined for each of the classic evolutionary processes. These costs count the minimum number of events necessary to reconcile the gene tree with the species tree where the leaf-genes are mapped to the leaf-species through a function called labeling. To better understand the synthesis of median trees under these costs there is an increased interest in analyzing their diameters...
August 4, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28767374/continuous-petri-nets-and-microrna-analysis-in-melanoma
#11
Giulia Russo, Marzio Pennisi, Roberta Boscarino, Francesco Pappalardo
Personalized target therapies represent one of the possible treatment strategies to fight the ongoing battle against cancer. New treatment interventions are still needed for an effective and successful cancer therapy. In this scenario, we simulated and analyzed the dynamics of BRAF V600E melanoma patients treated with BRAF inhibitors in order to find potentially interesting targets that may make standard treatments more effective in particularly aggressive tumors that may not respond to selective inhibitor drugs...
July 31, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28749356/improving-alzheimeres-disease-classification-by-combining-multiple-measures
#12
Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan
Several anatomical magnetic resonance imaging (MRI) markers for Alzheimer's disease (AD) have been identified. Cortical gray matter volume, cortical thickness, and subcortical volume have been used successfully to assist the diagnosis of Alzheimer's disease (AD) including its early warning and developing stages, e.g., mild cognitive impairment (MCI) including MCI converted to AD (MCIc) and MCI not converted to AD (MCInc). Currently, these anatomical MRI measures have mainly been used separately. Thus, the full potential of anatomical MRI scans for AD diagnosis might not yet have been used optimally...
July 25, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28749355/hardware-accelerator-for-the-multifractal-analysis-of-dna-sequences
#13
Jorge E Duarte-Sanchez, Jaime Velasco-Medina, Pedro A Moreno
The multifractal analysis has allowed to quantify the genetic variability and non-linear stability along the human genome sequence. It has some implications in explaining several genetic diseases given by some chromosome abnormalities, among other genetic particularities. The multifractal analysis of a genome is carried out by dividing the complete DNA sequence in smaller fragments and calculating the generalized dimension spectrum of each fragment using the chaos game representation and the box-counting method...
July 24, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28715335/evolutionary-model-for-the-statistical-divergence-of-paralogous-and-orthologous-gene-pairs-generated-by-whole-genome-duplication-and-speciation
#14
Yue Zhang, Chunfang Zheng, David Sankoff
We outline a principled approach to the analysis of duplicate gene similarity distributions, based on a model integrating sequence divergence and the process of fractionation of duplicate genes resulting from whole genome duplication (WGD). This model allows us predict duplicate gene similarity distributions for series of two or three WGD, for whole genome triplication followed by a WGD, and for triplication, followed by speciation, followed by WGD. We calculate the probabilities of all possible fates of a gene pair as its two members proliferate or are lost, predicting the number of surviving pairs from each event...
July 14, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28715336/combination-of-supervised-and-unsupervised-approaches-for-mirna-target-prediction
#15
Nafiseh Sedaghat, Mahmood Fathy, Mohammad Hossein Modarressi, Ali Shojaie
MicroRNAs (miRNAs) are short non-coding RNAs which target mRNAs by binding to them and regulating their expression. Involvement of miRNAs has been discovered in many diseases, so it is fruitful to investigate the miRNAs and their targets to develop new therapeutic ways by designing anti-miRNA oligonucleotides. There are various computational methods to predict the target genes, however, their precisions are not good enough. In this paper, we apply a two-step approach to refine the results of sequence-based prediction algorithms...
July 13, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28692986/heavy-tailed-noise-suppression-and-derivative-wavelet-scalogram-for-detecting-dna-copy-number-aberrations
#16
Nha Nguyen, An Vo, Haibin Sun, Heng Huang
Most existing array comparative genomic hybridization (array CGH) data processing methods and evaluation models assumed that the probability density function of noise in array CGH is a Gaussian distribution. However, in practice such noise distribution is peaky and heavy-tailed. A more accurate and sufficient model of noise in array CGH data is necessary and beneficial to the detection of DNA copy number variations. We analyze the real array CGH data from different platforms and show that the distribution of noise in array CGH data is fitted very well by generalized Gaussian distribution (GGD)...
July 6, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28692985/emdl-extracting-mirna-drug-interactions-from-literature
#17
Wenbin Xie, Hong Yan, Xing-Ming Zhao
The microRNAs (miRNAs), regulators of post-transcriptional processes, have been found to affect the efficacy of drugs by regulating the biological processes in which the target proteins of drugs may be involved. For example, some drugs develop resistance when certain miRNAs are overexpressed. Therefore, identifying miRNAs that affect drug effects can help understand the mechanisms of drug actions and design more efficient drugs. Although some computational approaches have been developed to predict miRNA-drug associations, such associations rarely provide explicit information about which miRNAs and how they affect drug efficacy...
July 6, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28692984/a-study-of-cell-free-dna-fragmentation-pattern-and-its-application-in-dna-sample-type-classification
#18
Shifu Chen, Ming Liu, Xiaoni Zhang, Renwen Long, Yixing Wang, Yue Han, Shiwei Zhang, Mingyan Xu, Jia Gu
Plasma cell-free DNA (cfDNA) has certain fragmentation patterns, which can bring non-random base content curves of the sequencing data's beginning cycles. We studied the patterns and found that we could determine whether a sample is cfDNA or not by just looking into the first 10 cycles of its base content curves. We analysed 3189 FastQ files, including 1442 cfDNA, 1234 genomic DNA, 507 FFPE tumour DNA and 6 urinary cfDNA. By deep analysing these data, we find the patterns are stable enough to distinguish cfDNA from other kinds of DNA samples...
July 4, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28682264/ngs-fc-a-next-generation-sequencing-data-format-converter
#19
Chunjiang Yu, Wentao Wu, Jing Wang, Yuxin Lin, Yang Yang, Jiajia Chen, Fei Zhu, Bairong Shen
With the widespread implementation of next-generation sequencing (NGS) technologies, millions of sequences have been produced. A lot of databases were created to store and organize the high-throughput sequencing data. Numerous analysis software programs and tools have been developed over the past years. Most of them use specific formats for data representation and storage. Data interoperability becomes a crucial challenge and many tools have been developed to convert NGS data from one format to another. However, most of them were developed for specific and limited formats...
July 3, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28682263/modeling-methylation-patterns-with-long-read-sequencing-data
#20
Karlene Nicole Meyer, Michelle Lacey
Variation in cytosine methylation at CpG dinucleotides is often observed in genomic regions, and analysis typically focuses on estimating the proportion of methylated sites observed in a given region and comparing these levels across samples to determine association with conditions of interest. While sites are tacitly treated as independent, when observed at the level of individual molecules methylation patterns exhibit strong evidence of local spatial dependence. We previously developed a neighboring sites model to account for correlation and clustering behavior observed in two tandem repeat regions in a collection of ovarian carcinomas...
June 30, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
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