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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 ...


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 ...


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.


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 ...


Microbial Repopulation Following In Situ Star Remediation, Gavin Overbeeke 2017 The University of Western Ontario

Microbial Repopulation Following In Situ Star Remediation, Gavin Overbeeke

Electronic Thesis and Dissertation Repository

In situ STAR (Self-sustaining Treatment for Active Remediation) is an emerging remediation technology which uses smouldering combustion to destroy nonaqueous phase liquid (NAPL) contamination in the subsurface. Since STAR smouldering travels through contaminated soils slowly (~0.5 to 5 m/day) and subjects them to high temperatures (400–1000°C), it is expected that this technology will thoroughly dry and sterilize the zones which it treats. Further, soils surrounding the treatment zone which are not smouldered will be heated, although not smouldered, by virtue of their proximity to STAR, impacting microbial communities within them. Therefore, the objectives of this work ...


Chloride And Proton Binding In The E. Coli 2cl¯:1h+ Clc Exchanger, Catherine Chenal 2017 The Graduate Center, City University of New York

Chloride And Proton Binding In The E. Coli 2cl¯:1h+ Clc Exchanger, Catherine Chenal

All Graduate Works by Year: Dissertations, Theses, and Capstone Projects

The CLC family of membrane proteins is a ubiquitously expressed class of proton and usually voltage-activated chloride transporters involved in a myriad of physiological functions. Crystallographic structures identify up to three chloride binding sites: external, central and intracellular located in the inner half of the trans-membrane domain. The CLC proteins, except for the kidney isoforms, are gated by the extracellular side-facing gating Glutamate (Ex, E148 in CLC-ec1, the E. coli exchanger), which is thought to undergo a conformational change upon protonation.

To sort out how the thermodynamic paths to H+ coupled Cl¯ binding and conformational change in CLC-ec1 at the ...


Evolution And Development In Cave Animals: From Fish To Crustaceans, Meredith E. Protas, William R. Jeffery 2017 Department of Integrative Biology, University of California, Berkeley

Evolution And Development In Cave Animals: From Fish To Crustaceans, Meredith E. Protas, William R. Jeffery

Meredith Protas

Cave animals are excellent models to study the general principles of evolution as well as the mechanisms of adaptation to a novel environment: the perpetual darkness of caves. In this article, two of the major model systems used to study the evolution and development (evo–devo) of cave animals are described: the teleost fish Astyanax mexicanus and the isopod crustacean Asellus aquaticus. The ways in which these animals match the major attributes expected of an evo–devo cave animal model system are described. For both species, we enumerate the regressive and constructive troglomorphic traits that have evolved during their adaptation ...


Using Phylogenetically-Informed Annotation (Pia) To Search For Light-Interacting Genes In Transcriptomes From Non-Model Organisms, Daniel I. Speiser, M. Sabrina Pankey, Alexander K. Zaharoff, Barbara A. Battelle, Heather D. Bracken-Grissom, Jesse W. Breinholt, Seth M. Bybee, Thomas W. Cronin, Anders Garm, Annie R. Lindgren, Nipam H. Patel, Megan L. Porter, Meredith E. Protas, Anja S. Rivera, Jeanne M. Serb, Kirk S. Zigler, Keith A. Crandall, Todd H. Oakley 2017 Department of Ecology, Evolution, and Marine Biology, University of California Santa Barbara

Using Phylogenetically-Informed Annotation (Pia) To Search For Light-Interacting Genes In Transcriptomes From Non-Model Organisms, Daniel I. Speiser, M. Sabrina Pankey, Alexander K. Zaharoff, Barbara A. Battelle, Heather D. Bracken-Grissom, Jesse W. Breinholt, Seth M. Bybee, Thomas W. Cronin, Anders Garm, Annie R. Lindgren, Nipam H. Patel, Megan L. Porter, Meredith E. Protas, Anja S. Rivera, Jeanne M. Serb, Kirk S. Zigler, Keith A. Crandall, Todd H. Oakley

Meredith Protas

Background: Tools for high throughput sequencing and de novo assembly make the analysis of transcriptomes (i.e. the suite of genes expressed in a tissue) feasible for almost any organism. Yet a challenge for biologists is that it can be difficult to assign identities to gene sequences, especially from non-model organisms. Phylogenetic analyses are one useful method for assigning identities to these sequences, but such methods tend to be time-consuming because of the need to re-calculate trees for every gene of interest and each time a new data set is analyzed. In response, we employed existing tools for phylogenetic analysis ...


Mrub_2642, Mrub_1054, And Mrub_1059 Genes Are Orthologs Of The Escherichia Coli Genes B2942, B0159, And B2687 Genes, Respectively, Which Code For Methionine Adenosyltransferase, Adenosylhomocysteine Nucleosidase, And S-Ribosylhomocysteine Lyase, Nicholas M. Orslini, Dr. Lori R. Scott 2017 Augustana College, Rock Island Illinois

Mrub_2642, Mrub_1054, And Mrub_1059 Genes Are Orthologs Of The Escherichia Coli Genes B2942, B0159, And B2687 Genes, Respectively, Which Code For Methionine Adenosyltransferase, Adenosylhomocysteine Nucleosidase, And S-Ribosylhomocysteine Lyase, Nicholas M. Orslini, Dr. Lori R. Scott

Meiothermus ruber Genome Analysis Project

This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation –Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_2642, Mrub_1054, and Mrub_1059.

We predict that Mrub_2642 encodes the enzyme methionine adenosyltransferase (DNA coordinates [2677251…2678426] on the reverse strand), the first step of the methionine degradation pathway (KEGG map number 00270). Methionine adenosyltransferase catalyzes the conversion of the substrates, ATP, L-methionine, and water, to yield the products S-adenosyl-L-methionine (SAM), inorganic phosphate, and diphosphate. Mrub_1054 encodes adenosylhomocysteine nucleosidase (DNA ...


Shannon Information Entropy In The Canonical Genetic Code, Louis R. Nemzer 2016 Nova Southeastern University

Shannon Information Entropy In The Canonical Genetic Code, Louis R. Nemzer

Louis R Nemzer

The Shannon entropy measures the expected information value of messages. As with thermodynamic entropy, the Shannon entropy is only defined within a system that identifies at the outset the collections of possible messages, analogous to microstates, that will be considered indistinguishable macrostates. This fundamental insight is applied here for the first time to amino acid alphabets, which group the twenty common amino acids into families based on chemical and physical similarities. To evaluate these schemas objectively, a novel quantitative method is introduced based the inherent redundancy in the canonical genetic code. Each alphabet is taken as a separate system that ...


Shannon Information Entropy In The Canonical Genetic Code, Louis R. Nemzer 2016 Nova Southeastern University

Shannon Information Entropy In The Canonical Genetic Code, Louis R. Nemzer

Louis R Nemzer

The Shannon entropy measures the expected information value of messages. As with thermodynamic entropy, the Shannon entropy is only defined within a system that identifies at the outset the collections of possible messages, analogous to microstates, that will be considered indistinguishable macrostates. This fundamental insight is applied here for the first time to amino acid alphabets, which group the twenty common amino acids into families based on chemical and physical similarities. To evaluate these schemas objectively, a novel quantitative method is introduced based the inherent redundancy in the canonical genetic code. Each alphabet is taken as a separate system that ...


Testing The Independence Hypothesis Of Accepted Mutations For Pairs Of Adjacent Amino Acids In Protein Sequences, Jyotsna Ramanan 2016 University of Nebraska-Lincoln

Testing The Independence Hypothesis Of Accepted Mutations For Pairs Of Adjacent Amino Acids In Protein Sequences, Jyotsna Ramanan

Computer Science and Engineering: Theses, Dissertations, and Student Research

Evolutionary studies usually assume that the genetic mutations are independent of each other. However, that does not imply that the observed mutations are independent of each other because it is possible that when a nucleotide is mutated, then it may be biologically beneficial if an adjacent nucleotide mutates too.

With a number of decoded genes currently available in various genome libraries and online databases, it is now possible to have a large-scale computer-based study to test whether the independence assumption holds for pairs of adjacent amino acids. Hence the independence question also arises for pairs of adjacent amino acids within ...


Characterization Of Molecular Communication Based On Cell Metabolism Through Mutual Information And Flux Balance Analysis, Zahmeeth Sayed Sakkaff 2016 University of Nebraska - Lincoln

Characterization Of Molecular Communication Based On Cell Metabolism Through Mutual Information And Flux Balance Analysis, Zahmeeth Sayed Sakkaff

Computer Science and Engineering: Theses, Dissertations, and Student Research

Synthetic biology is providing novel tools to engineer cells and access the basis of their molecular information processing, including their communication channels based on chemical reactions and molecule exchange. Molecular communication is a discipline in communication engineering that studies these types of communications and ways to exploit them for novel purposes, such as the development of ubiquitous and heterogeneous communication networks to interconnect biological cells with nano and biotechnology-enabled devices, i.e., the Internet of Bio-Nano Things. One major problem in realizing these goals stands in the development of reliable techniques to control the engineered cells and their behavior from ...


Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee 2016 Wright State University - Main Campus

Preliminary Investigation Of Walking Motion Using A Combination Of Image And Signal Processing, Bradley Schneider, Tanvi Banerjee

Kno.e.sis Publications

We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing and computer vision techniques, gait features are extracted to identify the walking pace of the individual wearing the camera as well as validated using the ground truth dataset. Our preliminary results indicate that the extraction of activity from the video ...


Stage-Specific Predictive Models For Cancer Survivability, Elham Sagheb Hossein Pour 2016 University of Wisconsin-Milwaukee

Stage-Specific Predictive Models For Cancer Survivability, Elham Sagheb Hossein Pour

Theses and Dissertations

Survivability of cancer strongly depends on the stage of cancer. In most previous works, machine learning survivability prediction models for a particular cancer, were trained and evaluated together on all stages of the cancer. In this work, we trained and evaluated survivability prediction models for five major cancers, together on all stages and separately for every stage. We named these models joint and stage-specific models respectively. The obtained results for the cancers which we investigated reveal that, the best model to predict the survivability of the cancer for one specific stage is the model which is specifically built for that ...


Rna Sequencing Analysis Of The Developing Chicken Retina, Christophe Langouet-Astrie*, Annamarie Meinsen*, Emily R. Grunwald*, Stephen Turner, Raymond A. Enke 2016 James Madison University

Rna Sequencing Analysis Of The Developing Chicken Retina, Christophe Langouet-Astrie*, Annamarie Meinsen*, Emily R. Grunwald*, Stephen Turner, Raymond A. Enke

Ray Enke Ph.D.

RNA sequencing transcriptome analysis using massively parallel next generation sequencing technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. Development of the vertebrate retina requires complex temporal orchestration of transcriptional activation and repression. The chicken embryo (Gallus gallus) is a classic model system for studying developmental biology and retinogenesis. Existing retinal transcriptome projects have been critical to the vision research community for studying aspects of murine and human retinogenesis, however, there are currently no publicly available data sets describing the developing chicken retinal transcriptome. Here we used Illumina RNA sequencing (RNA-seq) analysis ...


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