Open Access. Powered by Scholars. Published by Universities.®

Computational Biology Commons

Open Access. Powered by Scholars. Published by Universities.®

816 Full-Text Articles 2,589 Authors 99,695 Downloads 73 Institutions

All Articles in Computational Biology

Faceted Search

816 full-text articles. Page 1 of 31.

Stochastic Difference Model For Evolutional Dynamics Of Large Antigen Repertoires In African Trypanosomes, Fan Yu 2018 Illinois State University

Stochastic Difference Model For Evolutional Dynamics Of Large Antigen Repertoires In African Trypanosomes, Fan Yu

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone 2018 Embry-Riddle Aeronautical University

The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone

Undergraduate Research Symposium - Prescott

Historically ecological surveys require significant man hours in the field, utilizing methods which can stress species being observed. In using environmental DNA (eDNA) gathered from air, soil, and water, traditional methods may be supplemented or reduced in order to more efficiently utilize funding and reduce or eliminate stress on surveyed species. Water was collected in replicates using aseptic technique from two different sites, 60 miles apart, along the Verde River. Samples were vacuum filtered within 24 hours through 0.45 μm cellulose nitrate (CN) filters to collect eDNA. DNA extraction from the filters was performed. The polymerase chain reaction (PCR ...


The Temporal Landscape Of Recursive Splicing During Pol Ii Transcription Elongation In Human Cells, Xiao-Ou Zhang, Yu Fu, Haiwei Mou, Wen Xue, Zhiping Weng 2018 University of Massachusetts Medical School

The Temporal Landscape Of Recursive Splicing During Pol Ii Transcription Elongation In Human Cells, Xiao-Ou Zhang, Yu Fu, Haiwei Mou, Wen Xue, Zhiping Weng

Program in Bioinformatics and Integrative Biology Publications and Presentations

Recursive splicing (RS) is an evolutionarily conserved process of removing long introns via multiple steps of splicing. It was first discovered in Drosophila and recently proven to occur also in humans. The detailed mechanism of recursive splicing is not well understood, in particular, whether it is kinetically coupled with transcription. To investigate the dynamic process that underlies recursive splicing, we systematically characterized 342 RS sites in three human cell types using published time-series data that monitored synchronized Pol II elongation and nascent RNA production with 4-thiouridine labeling. We found that half of the RS events occurred post-transcriptionally with long delays ...


Numerous Recursive Sites Contribute To Accuracy Of Splicing In Long Introns In Flies, Athma A. Pai, Joseph M. Paggi, Paul Yan, Karen Adelman, Christopher B. Burge 2018 University of Massachusetts Medical School

Numerous Recursive Sites Contribute To Accuracy Of Splicing In Long Introns In Flies, Athma A. Pai, Joseph M. Paggi, Paul Yan, Karen Adelman, Christopher B. Burge

Open Access Articles

Recursive splicing, a process by which a single intron is removed from pre-mRNA transcripts in multiple distinct segments, has been observed in a small subset of Drosophila melanogaster introns. However, detection of recursive splicing requires observation of splicing intermediates that are inherently unstable, making it difficult to study. Here we developed new computational approaches to identify recursively spliced introns and applied them, in combination with existing methods, to nascent RNA sequencing data from Drosophila S2 cells. These approaches identified hundreds of novel sites of recursive splicing, expanding the catalog of recursively spliced fly introns by 4-fold. A subset of recursive ...


Open-Source Tools For Dense Facial Tissue Depth Mapping (Ftdm) Of Computed Tomography Models, Terrie Simmons-Ehrhardt, Catyana Falsetti, Anthony B. Falsetti, Christopher J. Ehrhardt 2018 School of World Studies, Virginia Commonwealth University

Open-Source Tools For Dense Facial Tissue Depth Mapping (Ftdm) Of Computed Tomography Models, Terrie Simmons-Ehrhardt, Catyana Falsetti, Anthony B. Falsetti, Christopher J. Ehrhardt

Human Biology Open Access Pre-Prints

Computed tomography (CT) scans provide anthropologists with a resource to generate three- dimensional (3D) digital skeletal material to expand quantification methods and build more standardized reference collections. The ability to visualize and manipulate the bone and skin of the face simultaneously in a 3D digital environment introduces a new way for forensic facial approximation practitioners to access and study the face. Craniofacial relationships can be quantified with landmarks or with surface processing software that can quantify the geometric properties of the entire 3D facial surface. This paper describes tools for the generation of dense facial tissue depth maps (FTDMs) using ...


Differential Analysis Of Chromatin Accessibility And Histone Modifications For Predicting Mouse Developmental Enhancers, Shaliu Fu, Qin Wang, Jill E. Moore, Michael J. Purcaro, Henry E. Pratt, Kaili Fan, Cuihua Gu, Cizhong Jiang, Ruixin Zhu, Anshul Kundaje, Aiping Lu, Zhiping Weng 2018 Tongji University,China

Differential Analysis Of Chromatin Accessibility And Histone Modifications For Predicting Mouse Developmental Enhancers, Shaliu Fu, Qin Wang, Jill E. Moore, Michael J. Purcaro, Henry E. Pratt, Kaili Fan, Cuihua Gu, Cizhong Jiang, Ruixin Zhu, Anshul Kundaje, Aiping Lu, Zhiping Weng

Program in Bioinformatics and Integrative Biology Publications and Presentations

Enhancers are distal cis-regulatory elements that modulate gene expression. They are depleted of nucleosomes and enriched in specific histone modifications; thus, calling DNase-seq and histone mark ChIP-seq peaks can predict enhancers. We evaluated nine peak-calling algorithms for predicting enhancers validated by transgenic mouse assays. DNase and H3K27ac peaks were consistently more predictive than H3K4me1/2/3 and H3K9ac peaks. DFilter and Hotspot2 were the best DNase peak callers, while HOMER, MUSIC, MACS2, DFilter and F-seq were the best H3K27ac peak callers. We observed that the differential DNase or H3K27ac signals between two distant tissues increased the area under the precision-recall ...


Drug-Resistance And Population Structure Of Plasmodium Falciparum Across The Democratic Republic Of Congo Using High-Throughput Molecular Inversion Probes, Ozkan Aydemir, Nicholas J. Hathaway, Patrick W. Marsh, Alice Tran, Thomas Reimonn, Jeffrey A. Bailey 2018 University of Massachusetts Medical School

Drug-Resistance And Population Structure Of Plasmodium Falciparum Across The Democratic Republic Of Congo Using High-Throughput Molecular Inversion Probes, Ozkan Aydemir, Nicholas J. Hathaway, Patrick W. Marsh, Alice Tran, Thomas Reimonn, Jeffrey A. Bailey

Open Access Articles

A better understanding of the drivers of the spread of malaria parasites and drug resistance across space and time is needed. These drivers can be elucidated using genetic tools. Here, a novel molecular inversion probe (MIP) panel targeting all major drug-resistance mutations and a set of microsatellites was used to genotype Plasmodium falciparum infections of 552 children from the 2013-2014 Demographic and Health Survey conducted in the Democratic Republic of the Congo (DRC). Microsatellite-based analysis of population structure suggests that parasites within the DRC form a homogeneous population. In contrast, sulfadoxine-resistance markers in dihydropteroate synthase show marked spatial structure with ...


The Transcriptome Of The Bermuda Fireworm Odontosyllis Enopla (Annelida: Syllidae): A Unique Luciferase Gene Family And Putative Epitoky-Related Genes, Mercer R. Brugler, M. Teresa Aguado, Michael Tessler, Mark Siddall 2018 NYC College of Technology (CUNY)

The Transcriptome Of The Bermuda Fireworm Odontosyllis Enopla (Annelida: Syllidae): A Unique Luciferase Gene Family And Putative Epitoky-Related Genes, Mercer R. Brugler, M. Teresa Aguado, Michael Tessler, Mark Siddall

Publications and Research

The Bermuda fireworm Odontosyllis enopla exhibits an extremely tight circalunar circadian behavior that results in an impressive bioluminescent mating swarm, thought to be due to a conventional luciferase-mediated oxidation of a light-emitting luciferin. In addition, the four eyes become hypertrophied and heavily pigmented, and the nephridial system is modified to store and release gametes and associated secretions. In an effort to elucidate transcripts related to bioluminescence, circadian or circalunar periodicity, as well as epitoky-related changes of the eyes and nephridial system, we examined the transcriptomic profile of three female O. enopladuring a bioluminescent swarm in Ferry Reach, Bermuda. Using ...


Microbial Ecology Of South Florida Surface Waters: Examining The Potential For Anthropogenic Influences, Chase P. Donnelly 2018 Nova Southeastern University

Microbial Ecology Of South Florida Surface Waters: Examining The Potential For Anthropogenic Influences, Chase P. Donnelly

HCNSO Student Theses and Dissertations

South Florida contains one of the largest subtropical wetlands in the world, and yet not much is known about the microbes that live in these surface waters. These microbes play an important role in chemical cycling and maintaining good water quality for both human and ecosystem health. The hydrology of Florida’s surface waters is tightly regulated with the use of canal and levee systems run by the US Army Corps of Engineers and The South Florida Water Management District. These canals run through the Everglades, agriculture, and urban environments to control water levels in Lake Okeechobee, the Water Conservation ...


Bayesian Analytical Approaches For Metabolomics : A Novel Method For Molecular Structure-Informed Metabolite Interaction Modeling, A Novel Diagnostic Model For Differentiating Myocardial Infarction Type, And Approaches For Compound Identification Given Mass Spectrometry Data., Patrick J. Trainor 2018 University of Louisville

Bayesian Analytical Approaches For Metabolomics : A Novel Method For Molecular Structure-Informed Metabolite Interaction Modeling, A Novel Diagnostic Model For Differentiating Myocardial Infarction Type, And Approaches For Compound Identification Given Mass Spectrometry Data., Patrick J. Trainor

Electronic Theses and Dissertations

Metabolomics, the study of small molecules in biological systems, has enjoyed great success in enabling researchers to examine disease-associated metabolic dysregulation and has been utilized for the discovery biomarkers of disease and phenotypic states. In spite of recent technological advances in the analytical platforms utilized in metabolomics and the proliferation of tools for the analysis of metabolomics data, significant challenges in metabolomics data analyses remain. In this dissertation, we present three of these challenges and Bayesian methodological solutions for each. In the first part we develop a new methodology to serve a basis for making higher order inferences in metabolomics ...


Computational Analysis Of Genomic Variants Affecting Predicted Microrna:Target Interactions In Prostate Cancer., Angélica Paola Hernández Pérez 2018 Keck Graduate Institute, KGI

Computational Analysis Of Genomic Variants Affecting Predicted Microrna:Target Interactions In Prostate Cancer., Angélica Paola Hernández Pérez

KGI Theses and Dissertations

Prostate cancer (PCa) is the most common cancer of men in the United States and is third only to lung and colon as a cause of cancer death. Clinical behavior of the disease is variable and the combination of prostate-specific antigen (PSA) screening and Gleason score staging are currently the best available molecular and pathology tools to predict outcomes. Cancer biology research establishes microRNAs (miRNAs) as key molecular components in both normal and pathological states. Thus, elucidating miRNAs perturbed by genomic alterations will expand our understanding of the molecular taxonomy of PCa with the aim to complement current practices in ...


Elimination Of Pcr Duplicates In Rna-Seq And Small Rna-Seq Using Unique Molecular Identifiers, Yu Fu, Pei-Hsuan Wu, Timothy J. Beane, Phillip D. Zamore, Zhiping Weng 2018 University of Massachusetts Medical School

Elimination Of Pcr Duplicates In Rna-Seq And Small Rna-Seq Using Unique Molecular Identifiers, Yu Fu, Pei-Hsuan Wu, Timothy J. Beane, Phillip D. Zamore, Zhiping Weng

Program in Bioinformatics and Integrative Biology Publications and Presentations

BACKGROUND: RNA-seq and small RNA-seq are powerful, quantitative tools to study gene regulation and function. Common high-throughput sequencing methods rely on polymerase chain reaction (PCR) to expand the starting material, but not every molecule amplifies equally, causing some to be overrepresented. Unique molecular identifiers (UMIs) can be used to distinguish undesirable PCR duplicates derived from a single molecule and identical but biologically meaningful reads from different molecules.

RESULTS: We have incorporated UMIs into RNA-seq and small RNA-seq protocols and developed tools to analyze the resulting data. Our UMIs contain stretches of random nucleotides whose lengths sufficiently capture diverse molecule species ...


Elimination Of Pcr Duplicates In Rna-Seq And Small Rna-Seq Using Unique Molecular Identifiers, Yu Fu, Pei-Hsuan Wu, Timothy J. Beane, Phillip D. Zamore, Zhiping Weng 2018 University of Massachusetts Medical School

Elimination Of Pcr Duplicates In Rna-Seq And Small Rna-Seq Using Unique Molecular Identifiers, Yu Fu, Pei-Hsuan Wu, Timothy J. Beane, Phillip D. Zamore, Zhiping Weng

Open Access Articles

BACKGROUND: RNA-seq and small RNA-seq are powerful, quantitative tools to study gene regulation and function. Common high-throughput sequencing methods rely on polymerase chain reaction (PCR) to expand the starting material, but not every molecule amplifies equally, causing some to be overrepresented. Unique molecular identifiers (UMIs) can be used to distinguish undesirable PCR duplicates derived from a single molecule and identical but biologically meaningful reads from different molecules.

RESULTS: We have incorporated UMIs into RNA-seq and small RNA-seq protocols and developed tools to analyze the resulting data. Our UMIs contain stretches of random nucleotides whose lengths sufficiently capture diverse molecule species ...


Pirscan: A Webserver To Predict Pirna Targeting Sites And To Avoid Transgene Silencing In C. Elegans, Wei-Sheng Wu, Wei-Che Huang, Jordan S. Brown, Donglei Zhang, Xiaoyan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee 2018 National Cheng Kung University

Pirscan: A Webserver To Predict Pirna Targeting Sites And To Avoid Transgene Silencing In C. Elegans, Wei-Sheng Wu, Wei-Che Huang, Jordan S. Brown, Donglei Zhang, Xiaoyan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee

Program in Bioinformatics and Integrative Biology Publications and Presentations

pirScan is a web-based tool for identifying C. elegans piRNA-targeting sites within a given mRNA or spliced DNA sequence. The purpose of our tool is to allow C. elegans researchers to predict piRNA targeting sites and to avoid the persistent germline silencing of transgenes that has rendered many constructs unusable. pirScan fulfills this purpose by first enumerating the predicted piRNA-targeting sites present in an input sequence. This prediction can be exported in a tabular or graphical format. Subsequently, pirScan suggests silent mutations that can be introduced to the input sequence that would allow the modified transgene to avoid piRNA targeting ...


Computational Analysis Of Papionini Evolution Using Alu Insertions, Vallmer Edward Jordan II 2018 Louisiana State University and Agricultural and Mechanical College

Computational Analysis Of Papionini Evolution Using Alu Insertions, Vallmer Edward Jordan Ii

LSU Doctoral Dissertations

Alu elements are primate specific retrotransposons that have remained active throughout the course of primate evolution. As a result of this sustained mobilization. Alu elements are present in greater copy number in primate genomes than any other transposable element. An average of over one million Alu elements has been identified in every sequenced haplorrhine genome to date. These characteristics qualify Alu elements as ideal characters for studying evolutionary relationship among primates.

The increasing availability of whole genome sequencing data presents novel challenges and opportunities for comparative genomic analyses. Genomic data is now publicly available for most primate species. Such an ...


Omega: A Software Tool For The Management, Analysis, And Dissemination Of Intracellular Trafficking Data That Incorporates Motion Type Classification And Quality Control, Alessandro Rigano, Vanni Galli, Jasmine M. Clark, Lara E. Pereira, Loris Grossi, Jeremy Luban, Raffaello Giulietti, Tiziano Leidi, Eric Hunter, Mario Valle, Ivo F. Sbalzarini, Caterina Strambio-De-Castilla 2018 University of Massachusetts Medical School

Omega: A Software Tool For The Management, Analysis, And Dissemination Of Intracellular Trafficking Data That Incorporates Motion Type Classification And Quality Control, Alessandro Rigano, Vanni Galli, Jasmine M. Clark, Lara E. Pereira, Loris Grossi, Jeremy Luban, Raffaello Giulietti, Tiziano Leidi, Eric Hunter, Mario Valle, Ivo F. Sbalzarini, Caterina Strambio-De-Castilla

University of Massachusetts Medical School Faculty Publications

MOTIVATION: Particle tracking coupled with time-lapse microscopy is critical for understanding the dynamics of intracellular processes of clinical importance. Spurred on by advances in the spatiotemporal resolution of microscopy and automated computational methods, this field is increasingly amenable to multi-dimensional high-throughput data collection schemes (Snijder et al, 2012). Typically, complex particle tracking datasets generated by individual laboratories are produced with incompatible methodologies that preclude comparison to each other. There is therefore an unmet need for data management systems that facilitate data standardization, meta-analysis, and structured data dissemination. The integration of analysis, visualization, and quality control capabilities into such systems would ...


Systematic Pan-Cancer Analysis Of Somatic Allele Frequency, Liam Spurr, Muzi Li, Nawaf Alomran, Qianqian Zhang, Paula Restrepo, Mercedeh Movassagh, Chris Trenkov, Nerissa Tunnessen, Tatiyana Apanasovich, Keith A. Crandall, Nathan Edwards, Anelia Horvath 2018 George Washington University

Systematic Pan-Cancer Analysis Of Somatic Allele Frequency, Liam Spurr, Muzi Li, Nawaf Alomran, Qianqian Zhang, Paula Restrepo, Mercedeh Movassagh, Chris Trenkov, Nerissa Tunnessen, Tatiyana Apanasovich, Keith A. Crandall, Nathan Edwards, Anelia Horvath

Open Access Articles

Imbalanced expression of somatic alleles in cancer can suggest functional and selective features, and can therefore indicate possible driving potential of the underlying genetic variants. To explore the correlation between allele frequency of somatic variants and total gene expression of their harboring gene, we used the unique data set of matched tumor and normal RNA and DNA sequencing data of 5523 distinct single nucleotide variants in 381 individuals across 10 cancer types obtained from The Cancer Genome Atlas (TCGA). We analyzed the allele frequency in the context of the variant and gene functional features and linked it with changes in ...


Characterization Of An N-Terminal Non-Core Domain Of Rag1 Gene Disrupted Syrian Hamster Model Generated By Crispr Cas9, Jinxin Miao, Baoling Ying, Rong Li, Ann E. Tollefson, Jacqueline F. Spencer, William S.M. Wold, Seok-Hwan Song, Il-Keun Kong, Karoly Toth, Yaohe Wang, Zhongde Wang 2018 Zhengzhou University

Characterization Of An N-Terminal Non-Core Domain Of Rag1 Gene Disrupted Syrian Hamster Model Generated By Crispr Cas9, Jinxin Miao, Baoling Ying, Rong Li, Ann E. Tollefson, Jacqueline F. Spencer, William S.M. Wold, Seok-Hwan Song, Il-Keun Kong, Karoly Toth, Yaohe Wang, Zhongde Wang

Animal, Dairy, and Veterinary Science Faculty Publications

The accumulating evidence demonstrates that Syrian hamsters have advantages as models for various diseases. To develop a Syrian hamster (Mesocricetus auratus) model of human immunodeficiency caused by RAG1 gene mutations, we employed the CRISPR/Cas9 system and introduced an 86-nucleotide frameshift deletion in the hamster RAG1 gene encoding part of the N-terminal non-core domain of RAG1. Histological and immunohistochemical analyses demonstrated that these hamsters (referred herein as RAG1-86nt hamsters) had atrophic spleen and thymus, and developed significantly less white pulp and were almost completely devoid of splenic lymphoid follicles. The RAG1-nt86 hamsters had barely detectable CD3+ and CD4+ T cells ...


Modeling And Analyzing An Optogenetic System For Photoactivatable Protein Dissociation, Anvin Thomas, James Schaff 2018 University of Connecticut

Modeling And Analyzing An Optogenetic System For Photoactivatable Protein Dissociation, Anvin Thomas, James Schaff

Honors Scholar Theses

Computational modeling of cell-cell interactions can grant clues and can answer questions about an experiment, especially for observations about binding interactions and kinetics. This approach was used to investigate an interaction between a light-oxygen-voltage (LOV) domain and an engineered protein called Zdark (Zdk). The LOV domain is membrane-bound while Zdk is cytosolic. The LOV domain and Zdk bind strongly in dark (Kd 26.2 nM), and weakly upon exposure to blue light (Kd > 4 μM). Total internal reflection fluorescence (TIRF) images are acquired of Zdk, the fluorescent species bound to a mCherry tag, and the loss of fluorescence ...


Region Based Gene Expression Via Reanalysis Of Publicly Available Microarray Data Sets., Ernur Saka 2018 University of Louisville

Region Based Gene Expression Via Reanalysis Of Publicly Available Microarray Data Sets., Ernur Saka

Electronic Theses and Dissertations

A DNA microarray is a high-throughput technology used to identify relative gene expression. One of the most widely used platforms is the Affymetrix® GeneChip® technology which detects gene expression levels based on probe sets composed of a set of twenty-five nucleotide probes designed to hybridize with specific gene targets. Given a particular Affymetrix® GeneChip® platform, the design of the probes is fixed. However, the method of analysis is dynamic in nature due to the ability to annotate and group probes into uniquely defined groupings. This is particularly important since publicly available repositories of microarray datasets, such as ArrayExpress and NCBI ...


Digital Commons powered by bepress