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Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch 2017 University of Manchester, UK

Can Cone Signals In The Wild Be Predicted From The Past?, David H. Foster, Iván Marín-Franch

MODVIS Workshop

In the natural world, the past is usually a good guide to the future. If light from the sun and sky is blue earlier in the day and yellow now, then it is likely to be more yellow later, as the sun's elevation decreases. But is the light reflected from a scene into the eye as predictable as the light incident upon the scene, especially when lighting changes are not just spectral but include changes in local shadows and mutual reflections? The aim of this work was to test the predictability of cone photoreceptor signals in the wild over ...


Basic Science To Clinical Research: Segmentation Of Ultrasound And Modelling In Clinical Informatics, Ali K. Hamou 2017 The University of Western Ontario

Basic Science To Clinical Research: Segmentation Of Ultrasound And Modelling In Clinical Informatics, Ali K. Hamou

Electronic Thesis and Dissertation Repository

The world of basic science is a world of minutia; it boils down to improving even a fraction of a percent over the baseline standard. It is a domain of peer reviewed fractions of seconds and the world of squeezing every last ounce of efficiency from a processor, a storage medium, or an algorithm. The field of health data is based on extracting knowledge from segments of data that may improve some clinical process or practice guideline to improve the time and quality of care. Clinical informatics and knowledge translation provide this information in order to reveal insights to the ...


Mutations In Braf Are Associated With Higher Levels Of Immune Infiltrates In Microsatellite-Stable Colon Cancer, Jake Rubin, Eduard Porta Parto 2017 George Washington University

Mutations In Braf Are Associated With Higher Levels Of Immune Infiltrates In Microsatellite-Stable Colon Cancer, Jake Rubin, Eduard Porta Parto

GW Research Days 2016 - Present

While BRAF is among the most well-established oncogenes in human cancers, more recently it has garnered attention for its role in suppressing antitumor immunity, especially in melanoma. Because tumor-infiltrating lymphocyte (TIL) density is strongly prognostic in colorectal cancer (CRC)7, we decided to investigate the connection between TIL density and the BRAF-activating V600E mutation in CRC.

We used ESTIMATE to quantify immune infiltrate in samples from the TCGA colon adenocarcinoma (COAD) dataset (n = 216). This is an algorithm that uses the gene-expression signature of 141 immune-related genes to infer the presence of immune cells in the tumor infiltrate. COAD samples ...


Analysis Of Hiv-1 Quasispecies Sequences Generated By High Throughput Sequencing (Hts) Using Hive, Naila Gulzar, Bhavna Hora, Konstantinos Karagiannis, Krista Smith, Feng Gao, Raja Mazumder 2017 George Washington University

Analysis Of Hiv-1 Quasispecies Sequences Generated By High Throughput Sequencing (Hts) Using Hive, Naila Gulzar, Bhavna Hora, Konstantinos Karagiannis, Krista Smith, Feng Gao, Raja Mazumder

GW Research Days 2016 - Present

The high level of genetic variability of Human Immunodeficiency Virus type 1 (HIV-1) is caused by the low fidelity of its replication machinery. This leads to evolution of swarm-like viral populations often described as quasispecies. High throughput sequencing (HTS) technology provides higher resolution over Sanger sequencing, enabling detection of low frequency variant genomes. However, quasispecies analysis is still a challenge due to the systematic noise, introduced by HTS technology. This leads to the increase in type I errors (also known as false positives) and the underlying genetic diversity, which can lead to mathematically insolvable type II errors (also known as ...


Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi 2017 Wright State University - Main Campus

Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi

Kno.e.sis Publications

The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in ...


A Proposed Frequency-Based Feature Selection Method For Cancer Classification, Yi Pan 2017 Western Kentucky University

A Proposed Frequency-Based Feature Selection Method For Cancer Classification, Yi Pan

Masters Theses & Specialist Projects

Feature selection method is becoming an essential procedure in data preprocessing step. The feature selection problem can affect the efficiency and accuracy of classification models. Therefore, it also relates to whether a classification model can have a reliable performance. In this study, we compared an original feature selection method and a proposed frequency-based feature selection method with four classification models and three filter-based ranking techniques using a cancer dataset. The proposed method was implemented in WEKA which is an open source software. The performance is evaluated by two evaluation methods: Recall and Receiver Operating Characteristic (ROC). Finally, we found the ...


A Balanced Approach To Adaptive Probability Density Estimation, Julio Kovacs, Cailee Helmick, Willy Wriggers 2017 Old Dominion University

A Balanced Approach To Adaptive Probability Density Estimation, Julio Kovacs, Cailee Helmick, Willy Wriggers

Mechanical & Aerospace Engineering Faculty Publications

Our development of a Fast (Mutual) Information Matching (FIM) of molecular dynamics time series data led us to the general problem of how to accurately estimate the probability density function of a random variable, especially in cases of very uneven samples. Here, we propose a novel Balanced Adaptive Density Estimation (BADE) method that effectively optimizes the amount of smoothing at each point. To do this, BADE relies on an efficient nearest-neighbor search which results in good scaling for large data sizes. Our tests on simulated data show that BADE exhibits equal or better accuracy than existing methods, and visual tests ...


Exploring The Use Of Free Bioinformatics Modules In An Introductory Biochemistry Course, Charlsey Dodgen, Uzezi Uwerosuo, ChulHee Kang, Cathy Lee 2017 University of Maryland

Exploring The Use Of Free Bioinformatics Modules In An Introductory Biochemistry Course, Charlsey Dodgen, Uzezi Uwerosuo, Chulhee Kang, Cathy Lee

Georgia Journal of Science

Although bioinformatics, the use of computational science to study biology, has become imperative in many areas of the biological sciences and related career paths, introductory biochemistry courses may disregard practical knowledge on bioinformatics. For this reason, we merged a hands-on activity module into an undergraduate biochemistry course in two ways. First, we incorporated bioinformatics modules for building phylogenetic trees by aligning the active sites of 10 chosen related α-amylase enzymes using freely available data. Secondly, we chose three of those 10 α-amylase enzymes to compare the 3D structure of their active sites. This module gives the students an opportunity to ...


Transcriptome Approach For Identifying Potential Biomarkers For Endocrine Disruption Due To Crude Oil Exposure Using Killifish (Fundulus Heteroclitus)., Frank J. Zadlock IV 2017 Seton Hall University

Transcriptome Approach For Identifying Potential Biomarkers For Endocrine Disruption Due To Crude Oil Exposure Using Killifish (Fundulus Heteroclitus)., Frank J. Zadlock Iv

Seton Hall University Dissertations and Theses (ETDs)

The killifish, Fundulus heteroclitus, is a common fish model in aquatic toxicology. However, little is known in this organism about how endocrine disrupting compounds, (EDCs) including polycyclic aromatic hydrocarbons (PAHs), impact the reproductive status from a molecular standpoint. The objective of this project is to apply high throughput sequencing to F. heteroclitus testes to examine the molecular mechanisms that impair reproduction when exposed to crude oil. First, a crude oil exposure experiment was conducted. Following exposure, semi-quantitative PCR was performed to detect changes in gene expression of the following genes known to respond to EDCs: gonadal aromatase (CYP19a), vitellogenin (VTG ...


P08. Unravelling Organelle Genome Evolution Architecture Using Rna-Sequencing Data, Matheus Sanita Lima, David Roy Smith 2017 Western University

P08. Unravelling Organelle Genome Evolution Architecture Using Rna-Sequencing Data, Matheus Sanita Lima, David Roy Smith

Western Research Forum

Background: Mitochondria genomes vary from 11 Mb to 6 kb, while plastids can vary from 1 Mb to 30 kb. Non-coding DNA accounts for most of this size variation, but the mechanistic and evolutionary reasons for that are still unknown. Next generation sequencing has generated unprecedented amounts of genomic and transcriptomic data that can be used for organelle genome evolution studies. However, most of these data is used only for the study of cell nucleus. Therefore, I decided to use these untapped data source to investigate the transcription of organelle genomes in plastid-bearing protists.

Methods: I mapped the transcriptomes over ...


Identification Of Genes Involved In Diauxic Shift Of Saccharomyces Cerevisiae Through Gateway Node Analysis., Emily Pachunka 2017 University of Nebraska at Omaha

Identification Of Genes Involved In Diauxic Shift Of Saccharomyces Cerevisiae Through Gateway Node Analysis., Emily Pachunka

Student Research and Creative Activity Fair

The use of high-throughput assays, or experiments yielding large data sets, in biological research has become a standard practice in laboratories throughout the world. Because such investigations have the ability to produce high volume and comprehensive data sets, it is then important to develop methods that allow researchers to quickly pull meaningful information from an overwhelming amount of data. Network modeling has become a popular technique for visualizing and analyzing large biological data sets. A network is a basic graph with nodes and edges (i.e. social networks) that also integrates complex principles of graph theory for deeper analysis and ...


Identification Of Optimal Parameter Ranges In Building And Assessing Correlation Networks Built From Gene Expression., Qianran Li 2017 University of Nebraska at Omaha

Identification Of Optimal Parameter Ranges In Building And Assessing Correlation Networks Built From Gene Expression., Qianran Li

Student Research and Creative Activity Fair

In this project, I investigate and define the range of acceptable outputs of a gene expression correlation network model. Gene expression refers to the amount of product made by a gene under a given biological condition. A correlation network is a graphical model where the nodes represent genes in an organism and the edges represent the amount of correlation between genes, based on their expression. Correlation network modeling has been used in cellular and biomedical domains to identify functional relationships between genes. The network model in general is a wonderful tool for showcasing relationships, but often times they are misused ...


A Network Mdoel To Investigate Robustness Of Gene Expressions, Naresh Pasupuleti 2017 University of Nebraska at Omaha

A Network Mdoel To Investigate Robustness Of Gene Expressions, Naresh Pasupuleti

Student Research and Creative Activity Fair

Correlation networks are ideal to describe the relationship between the expression profiles of genes. Gene expression is a characteristic exhibited by a particular gene. Our body has thousands of genes; each of them expresses differently, and each one of them has a particular function associated with them. When genes corresponding to a particular part of the body becomes non-functional, i.e., not expressed, then the function corresponding to that part of the body does not happen, thereby causing impairment or mutations. Co-regulation is a method involved in clustering analysis to find genes that perform similar functions. We want to identify ...


Correlation Networks: Causative Relationships From Gene Expression Data, Grogan W. Huff 2017 University of Nebraska at Omaha

Correlation Networks: Causative Relationships From Gene Expression Data, Grogan W. Huff

Student Research and Creative Activity Fair

Genes that share expression conditions show a biological correlation, and no modern method of visualization displays these intricate co-expression patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression graphs are pain-staking work to produce. Present day correlation network analysis shows potential for drawing conclusions from large volumes of biological systems data in an inexpensive and easy-to-produce way, however, work remains to confirm the appropriateness and scope of such methods for specific, scientific application. Toward this effort, we generated a Pearson correlation network from ...


A Common Class Of Transcripts With 5'-Intron Depletion, Distinct Early Coding Sequence Features, And N1-Methyladenosine Modification, Can Cenik, Hon Nian Chua, Guramrit Singh, Abdalla Akef, Michael P. Snyder, Alexander F. Palazzo, Melissa J. Moore, Frederick P. Roth 2017 University of Massachusetts Medical School

A Common Class Of Transcripts With 5'-Intron Depletion, Distinct Early Coding Sequence Features, And N1-Methyladenosine Modification, Can Cenik, Hon Nian Chua, Guramrit Singh, Abdalla Akef, Michael P. Snyder, Alexander F. Palazzo, Melissa J. Moore, Frederick P. Roth

Open Access Articles

Introns are found in 5' untranslated regions (5'UTRs) for 35% of all human transcripts. These 5'UTR introns are not randomly distributed: Genes that encode secreted, membrane-bound and mitochondrial proteins are less likely to have them. Curiously, transcripts lacking 5'UTR introns tend to harbor specific RNA sequence elements in their early coding regions. To model and understand the connection between coding-region sequence and 5'UTR intron status, we developed a classifier that can predict 5'UTR intron status with > 80% accuracy using only sequence features in the early coding region. Thus, the classifier identifies transcripts with 5' proximal-intron-minus-like-coding ...


Association Of Ifih1 And Pro-Inflammatory Mediators: Potential New Clues In Sle-Associated Pathogenesis, Melissa E. Munroe, Nathan Pezant, Michael A. Brown, Dustin A. Fife, Joel M. Guthridge, Jennifer A. Kelly, Graham Wiley, Patrick M. Gaffney, Judith A. James, Courtney G. Montgomery 2017 Rowan University

Association Of Ifih1 And Pro-Inflammatory Mediators: Potential New Clues In Sle-Associated Pathogenesis, Melissa E. Munroe, Nathan Pezant, Michael A. Brown, Dustin A. Fife, Joel M. Guthridge, Jennifer A. Kelly, Graham Wiley, Patrick M. Gaffney, Judith A. James, Courtney G. Montgomery

Faculty Scholarship for the College of Science & Mathematics

Antiviral defenses are inappropriately activated in systemic lupus erythematosus (SLE) and association between SLE and the antiviral helicase gene, IFIH1, is well established. We sought to extend the previously reported association of pathogenic soluble mediators and autoantibodies with mouse Mda5 to its human ortholog, IFIH1. To better understand the role this gene plays in human lupus, we assessed association of IFIH1 variants with soluble mediators and autoantibodies in 357 European-American SLE patients, first-degree relatives, and unrelated, unaffected healthy controls. Association between each of 135 genotyped SNPs in IFIH1 and four lupus-associated plasma mediators, IL-6, TNF-α, IFN-β, and IP-10, were investigated ...


Defining The 5 And 3 Landscape Of The Drosophila Transcriptome With Exo-Seq And Rnaseh-Seq, Shaked Afik, Osnat Bartok, Maxim N. Artyomov, Alexander A. Shishkin, Sabah Kadri, Mor Hanan, Xiaopeng Zhu, Manuel Garber, Sebastian Kadener 2017 The Hebrew University, Jerusalem

Defining The 5 And 3 Landscape Of The Drosophila Transcriptome With Exo-Seq And Rnaseh-Seq, Shaked Afik, Osnat Bartok, Maxim N. Artyomov, Alexander A. Shishkin, Sabah Kadri, Mor Hanan, Xiaopeng Zhu, Manuel Garber, Sebastian Kadener

UMass Center for Clinical and Translational Science Supported Publications

Cells regulate biological responses in part through changes in transcription start sites (TSS) or cleavage and polyadenylation sites (PAS). To fully understand gene regulatory networks, it is therefore critical to accurately annotate cell type-specific TSS and PAS. Here we present a simple and straightforward approach for genome-wide annotation of 5- and 3-RNA ends. Our approach reliably discerns bona fide PAS from false PAS that arise due to internal poly(A) tracts, a common problem with current PAS annotation methods. We applied our methodology to study the impact of temperature on the Drosophila melanogaster head transcriptome. We found hundreds of previously ...


Darwin Core Archive File, Stover-Ebinger Herbarium, Eastern Illinois University 2017 Eastern Illinois University

Darwin Core Archive File, Stover-Ebinger Herbarium, Eastern Illinois University

Darwin Core Archive Download

ZIP file contains occurrences.csv, identivications.csv, and images.csv. The meta.xml document describes the content. Fields within the occurrences.csv file are defined by the Darwin Core exchange standard.


Effect Of Tobacco Smoking On The Clinical, Histopathological, And Serological Manifestations Of Sjögren’S Syndrome, Donald U. Stone, Dustin Fife, Michael Brown, Keith E. Earley, Lida Radfar, C. Erick Kaufman, David M. Lewis, Nelson L. Rhodus, Barbara M. Segal, Daniel J. Wallace, Michael H. Weisman, Swamy Venuturupalli, Michael T. Brennan 2017 Rowan University

Effect Of Tobacco Smoking On The Clinical, Histopathological, And Serological Manifestations Of Sjögren’S Syndrome, Donald U. Stone, Dustin Fife, Michael Brown, Keith E. Earley, Lida Radfar, C. Erick Kaufman, David M. Lewis, Nelson L. Rhodus, Barbara M. Segal, Daniel J. Wallace, Michael H. Weisman, Swamy Venuturupalli, Michael T. Brennan

Faculty Scholarship for the College of Science & Mathematics

Objectives

To assess the association of smoking habits with the clinical, serological, and histopathological manifestations of Sjögren’s syndrome (SS) and non-Sjögren’s sicca (non-SS sicca).

Methods

Cross-sectional case-control study of 1288 patients with sicca symptoms (587 SS and 701 non-SS sicca) evaluated in a multi-disciplinary research clinic. Smoking patterns were obtained from questionnaire data and disease-related clinical and laboratory data were compared between current, past, ever, and never smokers.

Results

Current smoking rates were 4.6% for SS patients compared to 14.1% in non-SS sicca (p = 5.17x10E-09), 18% in a local lupus cohort (p = 1.13x10E-14) and ...


Total-Evidence Dating Under The Fossilized Birth–Death Process, Chi Zhang, Tanja Stadler, Serena Klopfstein, Tracy A. Heath, Fredrik Ronquist 2017 Swedish Museum of Natural History

Total-Evidence Dating Under The Fossilized Birth–Death Process, Chi Zhang, Tanja Stadler, Serena Klopfstein, Tracy A. Heath, Fredrik Ronquist

Tracy Heath

Bayesian total-evidence dating involves the simultaneous analysis of morphological data from the fossil record and morphological and sequence data from recent organisms, and it accommodates the uncertainty in the placement of fossils while dating the phylogenetic tree. Due to the flexibility of the Bayesian approach, total-evidence dating can also incorporate additional sources of information. Here, we take advantage of this and expand the analysis to include information about fossilization and sampling processes. Our work is based on the recently described fossilized birth–death (FBD) process, which has been used to model speciation, extinction, and fossilization rates that can vary over ...


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