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https://www.readbyqxmd.com/read/28334409/siapopr-a-computational-method-to-simulate-evolutionary-branching-trees-for-analysis-of-tumor-clonal-evolution
#1
Thomas O McDonald, Franziska Michor
Summary: SIApopr (Simulating Infinite-Allele populations) is an R package to simulate homogeneous and inhomogeneous stochastic branching processes under a very flexible set of assumptions using the speed of C ++. The software simulates clonal evolution with the emergence of driver and passenger mutations under the infinite-allele assumption. The software is an application of the Gillespie Stochastic Simulation Algorithm expanded to a large number of cell types and scenarios, with the intention of allowing users to easily modify existing models or create their own...
March 16, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334396/quantifying-circular-rna-expression-from-rna-seq-data-using-model-based-framework
#2
Musheng Li, Xueying Xie, Jing Zhou, Mengying Sheng, Xiaofeng Yin, Eun-A Ko, Tong Zhou, Wanjun Gu
Motivation: Circular RNAs (circRNAs) are a class of non-coding RNAs that are widely expressed in various cell lines and tissues of many organisms. Although the exact function of many circRNAs is largely unknown, the cell type- and tissue-specific circRNA expression has implicated their crucial functions in many biological processes. Hence, the quantification of circRNA expression from high-throughput RNA-seq data is becoming important to ascertain. Although many model-based methods have been developed to quantify linear RNA expression from RNA-seq data, these methods are not applicable to circRNA quantification...
March 8, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334390/seqarray-a-storage-efficient-high-performance-data-format-for-wgs-variant-calls
#3
Xiuwen Zheng, Stephanie M Gogarten, Michael Lawrence, Adrienne Stilp, Matthew P Conomos, Bruce S Weir, Cathy Laurie, David Levine
Motivation: Whole-genome sequencing (WGS) data is being generated at an unprecedented rate. Analysis of WGS data requires a flexible data format to store the different types of DNA variation. Variant call format (VCF) is a general text-based format developed to store variant genotypes and their annotations. However, VCF files are large and data retrieval is relatively slow. Here we introduce a new WGS variant data format implemented in the R/Bioconductor package "SeqArray" for storing variant calls in an arrayoriented manner which provides the same capabilities as VCF, but with multiple high compression options and data access using high-performance parallel computing...
March 16, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334373/estimating-error-models-for-whole-genome-sequencing-using-mixtures-of-dirichlet-multinomial-distributions
#4
Steven H Wu, Rachel S Schwartz, David J Winter, Donald F Conrad, Reed A Cartwright
Motivation: Accurate identification of genotypes is an essential part of the analysis of genomic data, including in identification of sequence polymorphisms, linking mutations with disease, and determining mutation rates. Biological and technical processes that adversely affect genotyping include copy-numbervariation, paralogous sequences, library preparation, sequencing error, and reference-mapping biases, among others. Results: We modeled the read depth for all data as a mixture of Dirichlet-multinomial distributions, resulting in significant improvements over previously used models...
March 15, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334366/vcnet-vector-based-gene-co-expression-network-construction-and-its-application-to-rna-seq-data
#5
Zengmiao Wang, Huaying Fang, Nelson Leung-Sang Tang, Minghua Deng
Motivation: Building gene co-expression network (GCN) from gene expression data is an important field of bioinformatic research. Nowadays, RNA-seq data provides high dimensional information to quantify gene expressions in term of read counts for individual exons of genes. Such an increase in the dimension of expression data during the transition from microarray to RNA-seq era made many previous co-expression analysis algorithms based on simple univariate correlation no longer applicable...
March 8, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334355/a-zoom-focus-algorithm-zfa-to-locate-the-optimal-testing-region-for-rare-variant-association-tests
#6
Maggie Haitian Wang, Haoyi Weng, Rui Sun, Jack Lee, William Ka Kei Wu, Ka Chun Chong, Benny Chung-Ying Zee
Motivation: Increasing amounts of whole exome or genome sequencing data present the challenge of analysing rare variants with extremely small minor allele frequencies. Various statistical tests have been proposed, which are specifically configured to increase power for rare variants by conducting the test within a certain bin, such as a gene or a pathway. However, a gene may contain from several to thousands of markers, and not all of them are related to the phenotype. Combining functional and non-functional variants in an arbitrary genomic region could impair the testing power...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334344/estimating-gene-regulatory-networks-with-pandar
#7
Daniel Schlauch, Joseph N Paulson, Albert Young, Kimberly Glass, John Quackenbush
PANDA (Passing Attributes betweenNetworks forData Assimilation) is a gene regulatory network inference method that begins with amodel of transcription factor-target gene interactions and usesmessage passing to update the network model given available transcriptomic and protein-protein interaction data. PANDA is used to estimate networks for each experimental group and the network models are then compared between groups to explore transcriptional processes that distinguish the groups. We present pandaR (bioconductor...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334343/pathwaymapper-a-collaborative-visual-web-editor-for-cancer-pathways-and-genomic-data
#8
Istemi Bahceci, Ugur Dogrusoz, Konnor C La, Özgün Babur, Jianjiong Gao, Nikolaus Schultz
Motivation: While existing network visualization tools enable the exploration of cancer genomics data, most biologists prefer simplified, curated pathway diagrams, such as those featured in many manuscripts from The Cancer Genome Atlas (TCGA). These pathway diagrams typically summarize how a pathway is altered in individual cancer types, including alteration frequencies for each gene. Results: To address this need, we developed the web-based tool PathwayMapper, which runs in most common web browsers...
March 16, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334340/meta-analytic-framework-for-liquid-association
#9
Lin Wang, Silvia Liu, Ying Ding, Shin-Sheng Yuan, Yen-Yi Ho, George C Tseng
Motivation: Although coexpression analysis via pair-wise expression correlation is popularly used to elucidate gene-gene interactions at the whole-genome scale, many complicated multi-gene regulations require more advanced detection methods. Liquid association is a powerful tool to detect the dynamic correlation of two gene variables depending on the expression level of a third variable (LA scouting gene). Liquid association detection from single transcriptomic study, however, is often unstable and not generalizable due to cohort bias, biological variation, and limited sample size...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334338/synmap2-synmap3d-web-based-whole-genome-synteny-browsers
#10
Asher Haug-Baltzell, Sean Stephens, Sean Davey, Carlos Scheidegger, Eric Lyons
Summary: Current synteny visualization tools either focus on small regions of sequence and do not illustrate genome-wide trends, or are complicated to use and create visualizations that are difficult to interpret. To address this challenge, The Comparative Genomics Platform (CoGe) has developed two web-based tools to visualize synteny across whole genomes. SynMap2 and SynMap3D allow researchers to explore whole genome synteny patterns (across two or three genomes, respectively) in responsive, web-based visualization and virtual reality environments...
March 16, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334276/motifmap-rna-a-genome-wide-map-of-rbp-binding-sites
#11
Yu Liu, Sha Sun, Timothy Bredy, Marcelo Wood, Robert C Spitale, Pierre Baldi
Motivation: RNA plays a critical role in gene expression and its regulation. RNA binding proteins (RBPs), in turn, are important regulators of RNA. Thanks to the availability of large scale data for RBP binding motifs and in vivo binding sites results in the form of eCLIP experiments, it is now possible to computationally predict RBP binding sites across the whole genome. Results: We describe MotifMap-RNA, an extension of MotifMap which predicts binding sites for RBP motifs across human and mouse genomes and allows large scale querying of predicted binding sites...
February 22, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334269/integratedmrf-random-forest-based-framework-for-integrating-prediction-from-different-data-types
#12
Raziur Rahman, John Otridge, Ranadip Pal
Summary: IntegratedMRF is an open-source R implementation for integrating drug response predictions from various genomic characterizations using univariate or multivariate random forests that includes various options for error estimation techniques. The integrated framework was developed following superior performance of random forest based methods in NCI-DREAM drug sensitivity prediction challenge. The computational framework can be applied to estimate mean and confidence interval of drug response prediction errors based on ensemble approaches with various combinations of genetic and epigenetic characterizations as inputs...
February 6, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334267/resistomap-online-visualization-of-human-gut-microbiota-antibiotic-resistome
#13
Konstantin S Yarygin, Boris A Kovarsky, Tatyana S Bibikova, Damir S Melnikov, Alexander V Tyakht, Dmitry G Alexeev
Summary: We created ResistoMap - a Web-based interactive visualization of the presence of genetic determinants conferring resistance to antibiotics, biocides and heavy metals in human gut microbiota. ResistoMap displays the data on more than 1500 published gut metagenomes of world populations including both healthy subjects and patients. Multiparameter display filters allow visual assessment of the associations between the meta-data and proportions of resistome. The geographic map navigation layer allows to state hypotheses regarding the global trends of antibiotic resistance and correlate the gut resistome variations with the national clinical guidelines on antibiotics application...
March 14, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334257/fast-clash-free-rna-conformational-morphing-using-molecular-junctions
#14
Amélie Héliou, Dominik Budday, Rasmus Fonseca, Henry van den Bedem
Motivation: Non-coding ribonucleic acids (ncRNA) are functional RNA molecules that are not translated into protein. They are extremely dynamic, adopting diverse conformational substates, which enables them to modulate their interaction with a large number of other molecules. The flexibility of ncRNA provides a challenge for probing their complex 3D conformational landscape, both experimentally and computationally. Despite their conformational diversity, ncRNAs mostly preserve their secondary structure throughout the dynamic ensemble...
March 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334241/rmats-dvr-rmats-discovery-of-differential-variants-in-rna
#15
Jinkai Wang, Yang Pan, Shihao Shen, Lan Lin, Yi Xing
Motivation: RNA sequences of a gene can have single nucleotide variants (SNVs) due to single nucleotide polymorphisms (SNPs) in the genome, or RNA editing events within the RNA. By comparing RNA-seq data of a given cell type before and after a specific perturbation, we can detect and quantify SNVs in the RNA and discover SNVs with altered frequencies between distinct cellular states. Such differential variants in RNA (DVRs) may reflect allele-specific changes in gene expression or RNA processing, as well as changes in RNA editing in response to cellular perturbations or stimuli...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334237/dna-compass-a-secure-client-side-site-for-navigating-personal-genetic-information
#16
Charles Curnin, Assaf Gordon, Yaniv Erlich
Motivation: Millions of individuals have access to raw genomic data using direct-to-consumer companies. The advent of large-scale sequencing projects, such as the Precision Medicine Initiative, will further increase the number of individuals with access to their own genomic information. However, querying genomic data requires a computer terminal and computational skill to analyze the data - an impediment for the general public. Results: DNA Compass is a website designed to empower the public by enabling simple navigation of personal genomic data...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334224/computational-modeling-of-in-vivo-and-in-vitro-protein-dna-interactions-by-multiple-instance-learning
#17
Zhen Gao, Jianhua Ruan
Motivation: The study of transcriptional regulation is still difficult yet fundamental in molecular biology research. While the development of both in vivo and in vitro profiling techniques have significantly enhanced our knowledge of transcription factor (TF)-DNA interactions, computational models of TF-DNA interactions are relatively simple and may not reveal sufficient biological insight. In particular, supervised learning based models for TF-DNA interactions attempt to map sequence-level features ( k -mers) to binding event but usually ignore the location of k -mers, which can cause data fragmentation and consequently inferior model performance...
March 1, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334222/qrank-a-novel-quantile-regression-tool-for-eqtl-discovery
#18
Xiaoyu Song, Gen Li, Zhenwei Zhou, Xianling Wang, Iuliana Ionita-Laza, Ying Wei
Motivation: Over the past decade, there has been a remarkable improvement in our understanding of the role of genetic variation in complex human diseases, especially via genome-wide association studies. However, the underlying molecular mechanisms are still poorly characterized, impending the development of therapeutic interventions. Identifying genetic variants that influence the expression level of a gene, i.e. expression quantitative trait loci (eQTLs), can help us understand how genetic variants influence traits at the molecular level...
March 11, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334215/systematic-inference-of-functional-phosphorylation-events-in-yeast-metabolism
#19
Yu Chen, Yonghong Wang, Jens Nielsen
Motivation: Protein phosphorylation is a post-translational modification that affects proteins by changing their structure and conformation in a rapid and reversible way, and it is an important mechanism for metabolic regulation in cells. Phosphoproteomics enables high-throughput identification of phosphorylation events on metabolic enzymes, but identifying functional phosphorylation events still requires more detailed biochemical characterization. Therefore, development of computational methods for investigating unknown functions of a large number of phosphorylation events identified by phosphoproteomics has received increased attention...
March 2, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28334208/morphologically-constrained-spectral-unmixing-by-dictionary-learning-for-multiplex-fluorescence-microscopy
#20
Murad Megjhani, Pedro Correa de Sampaio, Julienne Leigh Carstens, Raghu Kalluri, Badrinath Roysam
Motivation: Current spectral unmixing methods for multiplex fluorescence microscopy have a limited ability to cope with high spectral overlap as they only analyze spectral information over individual pixels. Here, we present adaptive Morphologically Constrained Spectral Unmixing (MCSU) algorithms that overcome this limitation by exploiting morphological differences between sub-cellular structures, and their local spatial context. Results: The proposed method was effective at improving spectral unmixing performance by exploiting: (i) a set of dictionary-based models for object morphologies learned from the image data; and (ii) models of spatial context learned from the image data using a total variation algorithm...
March 2, 2017: Bioinformatics
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