Digital Commons Network^™

A Novel Software For Organelle Genome-Based Baraminology Studies, Matthew Cserhati

Proceedings of the International Conference on Creationism

Background

There are 24,165 organelle DNA sequences at the Organelle Genome webpage at the NCBI website, as of June 19, 2022. Of these, 14,799 are mitochondrial genomes and 8,050 are chloroplast genomes. Since organelle genomes are very small and very abundant within the cell, they are easy to isolate and sequence. This means that there is a very large number of organelle genome data available for baraminologists to explore and analyze. Using organelle genomes is a quick way to map a large number of species to their respective baramins in preliminary baraminology studies.

The first mitochondrial DNA (mtDNA) studies in …

Validation Of The Software “Recycling Of Nutrients” In Dairy-Farms Of Western Cuba, I. Rodríguez, Gustavo Crespo, M. F. Días, S. Fraga

IGC Proceedings (1997-2023)

To maintain a good productivity in the soil-plant-animal system it is necessary to achieve an equilibrium between input and output of nutrients and energy. Models and simulation software have been proposed for this purpose. For dairy farms, models have been utilised to show the behaviour of different aspects, such as: feed utilisation, energy flow, digestibility values and daily weight gains (Freer et al., 1970; Assis & France, 1983, Bruce et al., 1984). However, there are few models showing the interaction between soil-plant- animal components of these systems. The objective of the present study was to validate the software …

Software Ppbb_Mx: Potential Productivity Modelling Of Brachiaria Brizantha (Cultivars Marandu And Xaraés), E. R. Detomini, D. Dourado Neto

IGC Proceedings (1997-2023)

Recent improvements in computer capacity and technology allow models to be built to simulate the attributes of many agricultural processes and systems. Although Brachiaria brizantha is the most cultivated tropical grass species in Brazil, there is no single tool to predict its production under optimal conditions. The objective of this paper is to present PPBB_MX software to calibrate and simulate (using a stochastical procedure) the shoot and total biomass potential productivity (output variables) of Brachiaria brizantha as a function of the following input variables: local latitude, season (from cutting date - Julian day), length of regrowth (time, days) and climate …

Developing A Computer-Based Program For Language Rehabilitation Of Arabic-Speaking Aphasic Patients, Sara Elsherbeny, Ayman Amer, Hemmat Baz, Tamer Abou-Elsaad

Mansoura Medical Journal

Background: Aphasia is acquired selective impairment of language. Computerized aphasia therapy is useful in language therapy and offers chances for independent practice at home to maximize intensity and improve outcomes. The aim of this study was to develop a computer-based language rehabilitation program for Arabic-speaking Egyptian aphasic patients to be culturally, linguistically and socially suitable for them and to determine its effectiveness. Methods: We conducted a prospective interventional study on 20 aphasic patients in the age range 40-65 years who received rehabilitation for 3 months using a newly designed Arabic software program named “Takalam”. The program was pilot-studied on 10 …

Radiation Exposure Determination In A Secure, Cloud-Based Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Peter Rogan

Biochemistry Publications

Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System (ADCI) identifies DCs and determines radiation doses. This study aimed to broaden accessibility and speed of this system, while protecting data and software integrity. ADCI Online is a secure web-streaming platform accessible worldwide from local servers. Cloud-based systems containing data and software are separated until they are linked for radiation exposure estimation. Dose estimates are identical to ADCI …

Jackie: Fast Enumeration Of Genome-Wide Single- And Multicopy Crispr Target Sites And Their Off-Target Numbers., Jacqueline Jufen Zhu, Albert Cheng

Faculty Research 2022

Zinc finger protein-, transcription activator like effector-, and CRISPR-based methods for genome and epigenome editing and imaging have provided powerful tools to investigate functions of genomes. Targeting sequence design is vital to the success of these experiments. Although existing design software mainly focus on designing target sequence for specific elements, we report here the implementation of Jackie and Albert's Comprehensive K-mer Instances Enumerator (JACKIE), a suite of software for enumerating all single- and multicopy sites in the genome that can be incorporated for genome-scale designs as well as loaded onto genome browsers alongside other tracks for convenient web-based graphic-user-interface-enabled design. …

Chromomap: An R Package For Interactive Visualization Of Multi-Omics Data And Annotation Of Chromosomes, Lakshay Anand, Carlos M. Rodriguez Lopez

Horticulture Faculty Publications

BACKGROUND: The recent advancements in high-throughput sequencing have resulted in the availability of annotated genomes, as well as of multi-omics data for many living organisms. This has increased the need for graphic tools that allow the concurrent visualization of genomes and feature-associated multi-omics data on single publication-ready plots.

RESULTS: We present chromoMap, an R package, developed for the construction of interactive visualizations of chromosomes/chromosomal regions, mapping of any chromosomal feature with known coordinates (i.e., protein coding genes, transposable elements, non-coding RNAs, microsatellites, etc.), and chromosomal regional characteristics (i.e. genomic feature density, gene expression, DNA methylation, chromatin modifications, etc.) of organisms …

Radiation Exposure Determination In A Secure, Cloudbased Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Joan H.M. Knoll, Peter Rogan

Biochemistry Publications

Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System (ADCI) identifies DCs and determines radiation doses. This study aimed to broaden accessibility and speed of this system, while protecting data and software integrity. ADCI Online is a secure web-streaming platform accessible worldwide from local servers. Cloud-based systems containing data and software are separated until they are linked for radiation exposure estimation. Dose estimates are identical to ADCI …

Bio-Acoustic Tracking And Localization Using Heterogeneous, Scalable Microphone Arrays, Erik Verreycken, Ralph Simon, Brandt Quirk-Royal, Walter Daems, Jesse Barber, Jan Steckel

Biology Faculty Publications and Presentations

Microphone arrays are an essential tool in the field of bioacoustics as they provide a non-intrusive way to study animal vocalizations and monitor their movement and behavior. Microphone arrays can be used for passive localization and tracking of sound sources while analyzing beamforming or spatial filtering of the emitted sound. Studying free roaming animals usually requires setting up equipment over large areas and attaching a tracking device to the animal which may alter their behavior. However, monitoring vocalizing animals through arrays of microphones, spatially distributed over their habitat has the advantage that unrestricted/unmanipulated animals can be observed. Important insights have …

Validation Of A Single Channel Eeg For The Athlete: A Machine Learning Protocol To Accurately Detect Sleep Stages, Kayla Thompson, Kamil Celoch, Frankie Pizzo, Ana I. Fins, Jaime Tartar

Journal for Sports Neuroscience

There is a large and growing movement towards the use of wearable technologies for sleep assessment. This trend is largely due to the desire for comfortable, burden free, and inexpensive technology. In tandem, given the competitive nature of professional athletes enduring high training load, sleep is often jeopardized which can result in adverse outcomes. Wearable devices hold the promise of increasing the ease of monitoring sleep in athletes which can inform health and recovery status, as well as aid performance optimization. However, wearable devices typically lack sufficient validity to assess sleep – and especially sleep stages. To address this concern, …

Metaboanalyst 5.0: Narrowing The Gap Between Raw Spectra And Functional Insights., Zhiqiang Pang, Jasmine Chong, Guangyan Zhou, David Anderson De Lima Morais, Le Chang, Michel Barrette, Carol Gauthier, Pierre-Étienne Jacques, Shuzhao Li, Jianguo Xia

Faculty Research 2021

Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap from raw data to functional insights for global metabolomics based on high-resolution mass spectrometry (HRMS). Three modules have been developed to help achieve this goal, including: (i) a LC-MS Spectra Processing module which offers an easy-to-use pipeline that can perform automated parameter optimization and resumable analysis to significantly lower the barriers to LC-MS1 spectra processing; (ii) a Functional Analysis module which expands the previous MS Peaks …

Covid Smell Tracker: A Research-Based Mobile Application To Study Smell Loss In Subjects With Covid-19, John Pueringer, Matthew Brennan, Tory Mcknight, Mindy Rabinowitz, Elina Toskala, Gurston Nyquist, Marc Rosen, Aykut Unsal

Research Day

Introduction: Up to 60% of people infected with SARS-CoV-2 report anosmia or ageusia during their disease course. “COVID Smell Tracker” is a smart phone application (app) developed to elucidate the onset, duration and extent of anosmia and ageusia through questionnaires.

Methods: “COVID Smell Tracker” is publicly available on smart phone devices (www.covidsmelltracker.org). Users complete surveys around demographics, medical history, COVID status and symptomology. Deidentified responses were collated and analyzed using descriptive statistics.

Results: Of the 266 users included, the majority were located in Europe (43%) and North America (33%). Male, Caucasian users were most common (54.9% and 61.7% respectively), followed …

Addressing Challenges In Aggregating And Analyzing Agroecological Data, Sarah E. Mccord

Open Access Theses & Dissertations

Agroecosystems face multiple threats including land degradation and climate change, changing and competing land uses, invasive species and disease spread, and biodiversity loss. While scientists seek to understand rapidly changing ecosystems, land managers are struggling to maintain ecosystem services amid transitions to novel ecosystem states. Understanding agroecosystem drivers and ensuing responses requires quality information about ecosystems that span biomes, trophic scales, ecological processes, spatiotemporal scales, land use, and land ownership. Yet, using multi-scale agroecosystem information can be frustrating for both scientific researchers and land managers as it is difficult to locate data that are trustworthy, easily accessible, standardized, and connected …

Pyseqrna: An Automated Python Package For Advanced Rna Sequencing Data Analysis And Annotation, Naveen Duhan

Student Research Symposium

Abstract: With the advent of Next-Generation Sequencing (NGS) technologies, numerous data is being generated every day, however, streamlined analysis remains a big hurdle to efficiently use the technology. A large number of algorithms, statistical methods, and software tools have been developed in recent years to perform the individual analysis steps of various NGS applications. Some NGS applications data analysis procedures are therefore very complex, requiring several program tools to be downloaded for their various processing steps. There is a significant room for the development of scalable computing environments that link the individual software components to automated workflows to efficiently and …

The Grazemore Decision Support System To Predict The Quality Of Pasture Grass In Dairy Production, Evelina Larsson

IGC Proceedings (1997-2023)

No abstract provided.

The Grazemore Decision Support System To Optimise Utilisation Of Grazed Grass In Dairy Production, Linda Karlsson

IGC Proceedings (1997-2023)

No abstract provided.

Progress In Grazing Management Of Dairy Cows By Using The Grazemore Dss, Mårten Hetta, Linda Karlsson, Evelina Larsson, Harry Eriksson, Kjell Martinsson

IGC Proceedings (1997-2023)

No abstract provided.

The Proteomexchange Consortium In 2020: Enabling 'Big Data' Approaches In Proteomics., Eric W Deutsch, Nuno Bandeira, Vagisha Sharma, Yasset Perez-Riverol, Jeremy J Carver, Deepti J Kundu, David García-Seisdedos, Andrew F Jarnuczak, Suresh Hewapathirana, Benjamin S Pullman, Julie Wertz, Zhi Sun, Shin Kawano, Shujiro Okuda, Yu Watanabe, Henning Hermjakob, Brendan Maclean, Michael J Maccoss, Yunping Zhu, Yasushi Ishihama, Juan A Vizcaíno

Articles, Abstracts, and Reports

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the …

Complex Systems Analysis In Selected Domains: Animal Biosecurity & Genetic Expression, Luke Trinity

Graduate College Dissertations and Theses

I first broadly define the study of complex systems, identifying language to describe and characterize mechanisms of such systems which is applicable across disciplines. An overview of methods is provided, including the description of a software development methodology which defines how a combination of computer science, statistics, and mathematics are applied to specified domains. This work describes strategies to facilitate timely completion of robust and adaptable projects which vary in complexity and scope. A biosecurity informatics pipeline is outlined, which is an abstraction useful in organizing the analysis of biological data from cells. This is followed by specific applications of …

Automated And Standardized Tools For Realistic, Generic Musculoskeletal Model Development, Trevor Rees Moon

Graduate Theses, Dissertations, and Problem Reports

Human movement is an instinctive yet challenging task that involves complex interactions between the neuromusculoskeletal system and its interaction with the surrounding environment. One key obstacle in the understanding of human locomotion is the availability and validity of experimental data or computational models. Corresponding measurements describing the relationships of the nervous and musculoskeletal systems and their dynamics are highly variable. Likewise, computational models and musculoskeletal models in particular are vitally dependent on these measurements to define model behavior and mechanics. These measurements are often sparse and disparate due to unsystematic data collection containing variable methodologies and reporting conventions. To date, …

Climp: Clustering Motifs Via Maximal Cliques With Parallel Computing Design., Shaoqiang Zhang, Yong Chen

Yong Chen

A set of conserved binding sites recognized by a transcription factor is called a motif, which can be found by many applications of comparative genomics for identifying over-represented segments. Moreover, when numerous putative motifs are predicted from a collection of genome-wide data, their similarity data can be represented as a large graph, where these motifs are connected to one another. However, an efficient clustering algorithm is desired for clustering the motifs that belong to the same groups and separating the motifs that belong to different groups, or even deleting an amount of spurious ones. In this work, a new motif …

Fishermp: Fully Parallel Algorithm For Detecting Combinatorial Motifs From Large Chip-Seq Datasets., Shaoqiang Zhang, Ying Liang, Xiangyun Wang, Zhengchang Su, Yong Chen

Yong Chen

Detecting binding motifs of combinatorial transcription factors (TFs) from chromatin immunoprecipitation sequencing (ChIP-seq) experiments is an important and challenging computational problem for understanding gene regulations. Although a number of motif-finding algorithms have been presented, most are either time consuming or have sub-optimal accuracy for processing large-scale datasets. In this article, we present a fully parallelized algorithm for detecting combinatorial motifs from ChIP-seq datasets by using Fisher combined method and OpenMP parallel design. Large scale validations on both synthetic data and 350 ChIP-seq datasets from the ENCODE database showed that FisherMP has not only super speeds on large datasets, but also …

Proteomics Standards Initiative Extended Fasta Format., Pierre-Alain Binz, Jim Shofstahl, Juan Antonio Vizcaíno, Harald Barsnes, Robert J Chalkley, Gerben Menschaert, Emanuele Alpi, Karl Clauser, Jimmy K Eng, Lydie Lane, Sean L Seymour, Luis Francisco Hernández Sánchez, Gerhard Mayer, Martin Eisenacher, Yasset Perez-Riverol, Eugene A Kapp, Luis Mendoza, Peter R Baker, Andrew Collins, Tim Van Den Bossche, Eric W Deutsch

Articles, Abstracts, and Reports

Mass-spectrometry-based proteomics enables the high-throughput identification and quantification of proteins, including sequence variants and post-translational modifications (PTMs) in biological samples. However, most workflows require that such variations be included in the search space used to analyze the data, and doing so remains challenging with most analysis tools. In order to facilitate the search for known sequence variants and PTMs, the Proteomics Standards Initiative (PSI) has designed and implemented the PSI extended FASTA format (PEFF). PEFF is based on the very popular FASTA format but adds a uniform mechanism for encoding substantially more metadata about the sequence collection as well as …

Fishermp: Fully Parallel Algorithm For Detecting Combinatorial Motifs From Large Chip-Seq Datasets., Shaoqiang Zhang, Ying Liang, Xiangyun Wang, Zhengchang Su, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Detecting binding motifs of combinatorial transcription factors (TFs) from chromatin immunoprecipitation sequencing (ChIP-seq) experiments is an important and challenging computational problem for understanding gene regulations. Although a number of motif-finding algorithms have been presented, most are either time consuming or have sub-optimal accuracy for processing large-scale datasets. In this article, we present a fully parallelized algorithm for detecting combinatorial motifs from ChIP-seq datasets by using Fisher combined method and OpenMP parallel design. Large scale validations on both synthetic data and 350 ChIP-seq datasets from the ENCODE database showed that FisherMP has not only super speeds on large datasets, but also …

Teaching And Learning Software In Landscape Architecture: A Survey Of Software Use Amongst Faculty And Students, Benjamin H. George, Peter Summerlin, Taz Fulford

Landscape Architecture and Environmental Planning Faculty Publications

Competency in computer software is integral to the profession of landscape architecture, replacing many of the traditional drawing and drafting tools used. This article seeks to capture the current state of software in academia from the perspective of both faculty and students, and to determine if students are achieving the learning levels that faculty are targeting in their courses. Results show that students are attaining faculty’s learning targets, yet students report discontent with the learning process, suggesting that more emphasis is needed to help students understand the role of software in the design process.

Radiation Dose Estimation By Completely Automated Interpretation Of The Dicentric Chromosome Assay, Peter Rogan, Yanxin Li, Ben Shirley, Ruth Wilkins, Farrah Norton, Joan Knoll

Biochemistry Publications

Accuracy of the automated dicentric chromosome (DC) assay relies on metaphase image selection. This study validates a software framework to find the best image selection models that mitigate inter-sample variability. Evaluation methods to determine model quality include the Poisson goodness-of-fit of DC distributions for each sample, residuals after calibration curve fitting and leave-one-out dose estimation errors. The process iteratively searches a pool of selection model candidates by modifying statistical and filter cut-offs to rank the best candidates according to their respective evaluation scores. Evaluation scores minimize the sum of squared errors relative to the actual radiation dose of the calibration …

Flexible And Fast Mapping Of Peptides To A Proteome With Proteomapper., Luis Mendoza, Eric W Deutsch, Zhi Sun, David S Campbell, David Shteynberg, Robert L Moritz

Articles, Abstracts, and Reports

Bottom-up proteomics relies on the proteolytic or chemical cleavage of proteins into peptides, the identification of those peptides via mass spectrometry, and the mapping of the identified peptides back to the reference proteome to infer which possible proteins are identified. Reliable mapping of peptides to proteins still poses substantial challenges when considering similar proteins, protein families, splice isoforms, sequence variation, and possible residue mass modifications, combined with an imperfect and incomplete understanding of the proteome. The ProteoMapper tool enables a comprehensive and rapid mapping of peptides to a reference proteome. The indexer component creates a segmented index for an input …

Progress On Identifying And Characterizing The Human Proteome: 2018 Metrics From The Hupo Human Proteome Project., Gilbert S Omenn, Lydie Lane, Christopher M Overall, Fernando J Corrales, Jochen M Schwenk, Young-Ki Paik, Jennifer E Van Eyk, Siqi Liu, Michael Snyder, Mark S Baker, Eric W Deutsch

Articles, Abstracts, and Reports

The Human Proteome Project (HPP) annually reports on progress throughout the field in credibly identifying and characterizing the human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2018-01-17, the baseline for this sixth annual HPP special issue of the Journal of Proteome Research, contains 17 470 PE1 proteins, 89% of all neXtProt predicted PE1-4 proteins, up from 17 008 in release 2017-01-23 and 13 975 in release 2012-02-24. Conversely, the number of neXtProt PE2,3,4 missing proteins has been reduced from 2949 to 2579 to 2186 over the past …

Ten Simple Rules For Collaborative Lesson Development, Gabriel A. Devenyi, Remi Emonet, Rayna M. Harris, Kate L. Hertweck, Damien Irving, Ian Milligan, Greg Wilson

Biology Faculty Publications and Presentations

Lessons take significant effort to build and even more to maintain. Most academics do this work on their own, but leveraging a community approach can make educational resource development more sustainable, robust, and responsive. Treating lessons as a community resource to be updated, adapted, and improved incrementally can free up valuable time while increasing quality.

De-Identified Interviews For The Study: Data Challenges Of Biomedical Researchers In The Age Of Omics, Rolando Garcia-Milian, Denise Hersey, Milica Vukmirovic

Rolando Garcia-Milian