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Rseqrep: Rna-Seq Reports, An Open-Source Cloud-Enabled Framework For Reproducible Rna-Seq Data Processing, Analysis, And Result Reporting, Travis L. Jensen, Michael Frasketi, Kevin Conway, Leigh Villarroel, Heather Hill, Konstantinos Krampis, Johannes B. Goll 2017 The Emmes Corporation

Rseqrep: Rna-Seq Reports, An Open-Source Cloud-Enabled Framework For Reproducible Rna-Seq Data Processing, Analysis, And Result Reporting, Travis L. Jensen, Michael Frasketi, Kevin Conway, Leigh Villarroel, Heather Hill, Konstantinos Krampis, Johannes B. Goll

Publications and Research

RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize personalized medicine. RNA-Seq Reports (RSEQREP) is a new open-source cloud-enabled framework that allows users to execute start-to-end gene-level RNA-Seq analysis on a preconfigured RSEQREP Amazon Virtual Machine Image (AMI) hosted by AWS or on their own Ubuntu Linux machine. The framework works with unstranded, stranded, and paired-end sequence FASTQ files stored locally, on Amazon Simple Storage …


Using Imputation As A Method Of Improving Genetic Data Analysis, Kimberly Diaz Perez 2017 Georgia State University

Using Imputation As A Method Of Improving Genetic Data Analysis, Kimberly Diaz Perez

Georgia State Undergraduate Research Conference

No abstract provided.


Genomic Analysis Of Factors Associated With Low Prevalence Of Antibiotic Resistance In Extraintestinal Pathogenic Escherichia Coli Sequence Type 95 Strains, Craig M. Stephens, Sheila Adams-Sapper, Manraj Sekhon, James R. Johnson, Lee W. Riley 2017 Santa Clara University

Genomic Analysis Of Factors Associated With Low Prevalence Of Antibiotic Resistance In Extraintestinal Pathogenic Escherichia Coli Sequence Type 95 Strains, Craig M. Stephens, Sheila Adams-Sapper, Manraj Sekhon, James R. Johnson, Lee W. Riley

Biology

Extraintestinal pathogenic Escherichia coli (ExPEC) strains belonging to multilocus sequence type 95 (ST95) are globally distributed and a common cause of infections in humans and domestic fowl. ST95 isolates generally show a lower prevalence of acquired antimicrobial resistance than other pandemic ExPEC lineages. We took a genomic approach to identify factors that may underlie reduced resistance. We fully assembled genomes for four ST95 isolates representing the four major fimH-based lineages within ST95 and also analyzed draft-level genomes from another 82 ST95 isolates, largely from the western United States. The fully assembled genomes of antibiotic-resistant isolates carried resistance genes exclusively on …


Crispr-Based Knockout Screening In Primary Neurons, Ben Callif 2017 Marquette University

Crispr-Based Knockout Screening In Primary Neurons, Ben Callif

Master's Theses (2009 -)

Axon growth is coordinated by multiple interacting proteins that remain incompletely characterized. High content screening (HCS), in which manipulation of candidate genes is combined with rapid image analysis of phenotypic effects, has emerged as a powerful technique to identify key regulators of axon outgrowth. Here we explore the utility of a genome editing approach referred to as CRISPR (Clustered Regularly Interspersed Palindromic Repeats) for knockout screening in primary neurons. In the CRISPR approach a DNA-cleaving Cas enzyme is guided to genomic target sequences by user-created guide RNA (sgRNA), where it initiates a double-stranded break that ultimately results in frameshift mutation …


Identifying Regulators From Multiple Types Of Biological Data In Cancer, Brittany Baur 2017 Marquette University

Identifying Regulators From Multiple Types Of Biological Data In Cancer, Brittany Baur

Dissertations (1934 -)

Cancer genomes accumulate alterations that promote cancer cell proliferation and survival. Structural, genetic and epigenetic alterations that have a selective advantage for tumorigenesis affect key regulatory genes and microRNAs that in turn regulate the expression of many target genes. The goal of this dissertation is to leverage the alteration-rich landscape of cancer genomes to detect key regulatory genes and microRNAs. To this end, we designed a feature selection algorithm to identify DNA methylation signals around a gene that would highly predict its expression. We found that genes whose expression could be predicted by DNA methylation accurately were enriched in Gene …


Phytohormone Signaling In Chlorella Sorokiniana: Perspectives On The Evolution Of Plant Cell-To-Cell Signaling, Maya Khasin 2017 University of Nebraska-Lincoln

Phytohormone Signaling In Chlorella Sorokiniana: Perspectives On The Evolution Of Plant Cell-To-Cell Signaling, Maya Khasin

School of Biological Sciences: Dissertations, Theses, and Student Research

Cell-to-cell communication is a key aspect of microbial physiology and population dynamics, and a cornerstone in understanding the evolution of multicellularity. Quorum sensing in bacteria is a canonical example of microbial cell-to-cell signaling, in which bacteria use small molecule signals in order to monitor their population size and modulate their physiology accordingly. We propose that the evolution of plant hormone signaling arose in unicellular green algae, analogously to quorum sensing in bacteria, and that the complexity of these pathways required the recruitment of increasingly specific enzymes to increasingly sophisticated gene networks throughout the course of phytohormone signaling evolution. Using Chlorella …


Pcr-Activated Cell Sorting As A General, Cultivation-Free Method For High-Throughput Identification And Enrichment Of Virus Hosts, Shaun W. Lim, Shea T. Lance, Kenneth M. Stedman, Adam R. Abate 2017 University of California, San Francisco

Pcr-Activated Cell Sorting As A General, Cultivation-Free Method For High-Throughput Identification And Enrichment Of Virus Hosts, Shaun W. Lim, Shea T. Lance, Kenneth M. Stedman, Adam R. Abate

Biology Faculty Publications and Presentations

Characterizing virus-host relationships is critical for understanding the impact of a virus on an ecosystem, but is challenging with existing techniques, particularly for uncultivable species. We present a general, cultivation-free approach for identifying phage-associated bacterial cells. Using PCR-activated cell sorting, we interrogate millions of individual bacteria for the presence of specific phage nucleic acids. If the nucleic acids are present, the bacteria are recovered via sorting and their genomes analyzed. This allows targeted recovery of all possible host species in a diverse population associated with a specific phage, and can be easily targeted to identify the hosts of different phages …


A Novel Multi-Network Approach Reveals Tissue-Specific Cellular Modulators Of Fibrosis In Systemic Sclerosis, Jaclyn N. Taroni, Casey S. Greene, Viktor Martyanov, Tammara A. Wood 2017 Dartmouth College

A Novel Multi-Network Approach Reveals Tissue-Specific Cellular Modulators Of Fibrosis In Systemic Sclerosis, Jaclyn N. Taroni, Casey S. Greene, Viktor Martyanov, Tammara A. Wood

Dartmouth Scholarship

Systemic sclerosis (SSc) is a multi-organ autoimmune disease characterized by skin fibrosis. Internal organ involvement is heterogeneous. It is unknown whether disease mechanisms are common across all involved affected tissues or if each manifestation has a distinct underlying pathology.We used consensus clustering to compare gene expression profiles of biopsies from four SSc-affected tissues (skin, lung, esophagus, and peripheral blood) from patients with SSc, and the related conditions pulmonary fibrosis (PF) and pulmonary arterial hypertension, and derived a consensus disease-associate signature across all tissues. We used this signature to query tissue-specific functional genomic networks. We performed novel network analyses to contrast …


Discovery And Validation Of Information Theory-Based Transcription Factor And Cofactor Binding Site Motifs., Ruipeng Lu, Eliseos J Mucaki, Peter K Rogan 2017 Western University

Discovery And Validation Of Information Theory-Based Transcription Factor And Cofactor Binding Site Motifs., Ruipeng Lu, Eliseos J Mucaki, Peter K Rogan

Biochemistry Publications

Data from ChIP-seq experiments can derive the genome-wide binding specificities of transcription factors (TFs) and other regulatory proteins. We analyzed 765 ENCODE ChIP-seq peak datasets of 207 human TFs with a novel motif discovery pipeline based on recursive, thresholded entropy minimization. This approach, while obviating the need to compensate for skewed nucleotide composition, distinguishes true binding motifs from noise, quantifies the strengths of individual binding sites based on computed affinity and detects adjacent cofactor binding sites that coordinate with the targets of primary, immunoprecipitated TFs. We obtained contiguous and bipartite information theory-based position weight matrices (iPWMs) for 93 sequence-specific TFs, …


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 …


The Mirnaome Of Catharanthus Roseus: Identification, Expression Analysis, And Potential Roles Of Micrornas In Regulation Of Terpenoid Indole Alkaloid Biosynthesis, Ethan M. Shen, Sanjay Kumar Singh, Jayadri S. Ghosh, Barunava Patra, Priyanka Paul, Ling Yuan, Sitakanta Pattanaik 2017 University of Kentucky

The Mirnaome Of Catharanthus Roseus: Identification, Expression Analysis, And Potential Roles Of Micrornas In Regulation Of Terpenoid Indole Alkaloid Biosynthesis, Ethan M. Shen, Sanjay Kumar Singh, Jayadri S. Ghosh, Barunava Patra, Priyanka Paul, Ling Yuan, Sitakanta Pattanaik

Plant and Soil Sciences Faculty Publications

MicroRNAs (miRNAs) regulate numerous crucial biological processes in plants. However, information is limited on their involvement in the biosynthesis of specialized metabolites in plants, including Catharanthus roseus that produces a number of pharmaceutically valuable, bioactive terpenoid indole alkaloids (TIAs). Using small RNA-sequencing, we identified 181 conserved and 173 novel miRNAs (cro-miRNAs) in C. roseus seedlings. Genome-wide expression analysis revealed that a set of cro-miRNAs are differentially regulated in response to methyl jasmonate (MeJA). In silico target prediction identified 519 potential cro-miRNA targets that include several auxin response factors (ARFs). The presence of cleaved transcripts of miRNA-targeted ARFs in C. roseus …


Estimating The Probability Of Clonal Relatedness Of Pairs Of Tumors In Cancer Patients, Audrey Mauguen, Venkatraman E. Seshan, Irina Ostrovnaya, Colin B. Begg 2017 Memorial Sloan-Kettering Cancer Center

Estimating The Probability Of Clonal Relatedness Of Pairs Of Tumors In Cancer Patients, Audrey Mauguen, Venkatraman E. Seshan, Irina Ostrovnaya, Colin B. Begg

Memorial Sloan-Kettering Cancer Center, Dept. of Epidemiology & Biostatistics Working Paper Series

Next generation sequencing panels are being used increasingly in cancer research to study tumor evolution. A specific statistical challenge is to compare the mutational profiles in different tumors from a patient to determine the strength of evidence that the tumors are clonally related, i.e. derived from a single, founder clonal cell. The presence of identical mutations in each tumor provides evidence of clonal relatedness, although the strength of evidence from a match is related to how commonly the mutation is seen in the tumor type under investigation. This evidence must be weighed against the evidence in favor of independent tumors …


An Assessment Of Potential False Positive E.Coli Pyroprints In The Cplop Database, Skyler A. Gordon 2017 California Polytechnic State University, San Luis Obispo

An Assessment Of Potential False Positive E.Coli Pyroprints In The Cplop Database, Skyler A. Gordon

Master's Theses

The genetic information found in each species of organism is unique, and can be used as a tool to differentiate at the molecular level. This has caused rapid genotyping methods to become the cornerstone of a new area of research dependent on reading the genome as a form of identification. One of these specific identification methods, known as pyroprinting, relies on the small variation of DNA sequences within the same species to develop a unique, reproducible fingerprint. By simultaneously pyrosequencing multiple polymorphic loci within the ribosomal operons known as the intergenic transcribed spacers, a reproducible output is obtained, known as …


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 are to quantify the …


Penetrance Estimates For Incidental Genomic Findings In Acmg-59, James A. Diao 2017 Yale University

Penetrance Estimates For Incidental Genomic Findings In Acmg-59, James A. Diao

Yale Day of Data

The dropping costs and rising popularity of next-generation sequencing has introduced the possibility of personalizing medical treatments and screening for genetic diseases. Still, the clinical community’s understanding remains incomplete, with limited consensus on the proper interpretation for many genetic variants. Thus, the standard procedure when returning sequencing results has been to report findings only in genes related to the diagnostic indication, and not incidental findings in other genes. To balance the threat of false positives with the medical benefits of true findings, the American College on Medical Genetics and Genomics (ACMG) recommends an exception: that clinical sequencing laboratories seek and …


Familial Lung Cancer: A Brief History From The Earliest Work To The Most Recent Studies, Anthony Musolf, Claire Simpson, Mariza de Andrade, Diptasri Mandal, Colette Gaba, Ping Yang, Yafang Li 2017 National Institutes of Health

Familial Lung Cancer: A Brief History From The Earliest Work To The Most Recent Studies, Anthony Musolf, Claire Simpson, Mariza De Andrade, Diptasri Mandal, Colette Gaba, Ping Yang, Yafang Li

Dartmouth Scholarship

Lung cancer is the deadliest cancer in the United States, killing roughly one of four cancer patients in 2016. While it is well-established that lung cancer is caused primarily by environmental effects (particularly tobacco smoking), there is evidence for genetic susceptibility. Lung cancer has been shown to aggregate in families, and segregation analyses have hypothesized a major susceptibility locus for the disease. Genetic association studies have provided strong evidence for common risk variants of small-to-moderate effect. Rare and highly penetrant alleles have been identified by linkage studies, including on 6q23–25. Though not common, some germline mutations have also been identified …


A Comparative Genomic Analysis Of Putative Pathogenicity Genes In The Host-Specific Sibling Species Colletotrichum Graminicola And Colletotrichum Sublineola, Ester A. S. Buiate, Katia Viana Xavier, Neil Moore, Maria F. Torres, Mark L. Farman, Christopher L. Schardl, Lisa J. Vaillancourt 2017 University of Kentucky

A Comparative Genomic Analysis Of Putative Pathogenicity Genes In The Host-Specific Sibling Species Colletotrichum Graminicola And Colletotrichum Sublineola, Ester A. S. Buiate, Katia Viana Xavier, Neil Moore, Maria F. Torres, Mark L. Farman, Christopher L. Schardl, Lisa J. Vaillancourt

Plant Pathology Faculty Publications

Background: Colletotrichum graminicola and C. sublineola cause anthracnose leaf and stalk diseases of maize and sorghum, respectively. In spite of their close evolutionary relationship, the two species are completely host-specific. Host specificity is often attributed to pathogen virulence factors, including specialized secondary metabolites (SSM), and small-secreted protein (SSP) effectors. Genes relevant to these categories were manually annotated in two co-occurring, contemporaneous strains of C. graminicola and C. sublineola. A comparative genomic and phylogenetic analysis was performed to address the evolutionary relationships among these and other divergent gene families in the two strains.

Results: Inoculation of maize with C. sublineola …


A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulos, Konstantin Laufer, George K. Thiruvathukal, Catherine Putonti 2017 Loyola University Chicago

A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulos, Konstantin Laufer, George K. Thiruvathukal, Catherine Putonti

George K. Thiruvathukal

As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 …


Complete Genome Sequences Of 38 Gordonia Sp. Bacteriophages, Welkin H. Pope, Matthew T. Montgomery, Randall J. DeJong 2017 University of Pittsburgh

Complete Genome Sequences Of 38 Gordonia Sp. Bacteriophages, Welkin H. Pope, Matthew T. Montgomery, Randall J. Dejong

University Faculty Publications and Creative Works

We report here the genome sequences of 38 newly isolated bacteriophages using Gordonia terrae 3612 (ATCC 25594) and Gordonia neofelifaecis NRRL59395 as bacterial hosts. All of the phages are double-stranded DNA (dsDNA) tail phages with siphoviral morphologies, with genome sizes ranging from 17,118 bp to 93,843 bp and spanning considerable nucleotide sequence diversity.


Investigating The Essential Roles Of Dprl-1 In Drosophila Melanogaster, Alex Lee 2017 University of Puget Sound

Investigating The Essential Roles Of Dprl-1 In Drosophila Melanogaster, Alex Lee

Summer Research

Phosphatase of Regenerating Liver (PRL) proteins regulate a number of important cellular processes, including cell growth and division. Humans have three PRL proteins: PRL-1, PRL-2, and PRL-3. An accumulation of evidence has shown that elevated levels of PRLs are strongly correlated with uncontrollable growth and metastasis of tumors. However, contradictory findings have arisen indicating that PRLs instead function to halt cell division thereby preventing uncontrollable tumor growth. In light of these results, the underlying mechanisms regarding how PRLs function within cellular processes remains unclear. To investigate the functions of PRLs, we will create transgenic fruit flies (Drosophila melanogaster) …


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