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Articles 1 - 30 of 236
Full-Text Articles in Entire DC Network
Tal Effector-Nucleotide Targeter (Tale-Nt) 2.0: Tools For Tal Effector Design And Target Prediction, Erin L. Doyle, Nicholas J. Booher, Daniel S. Standage, Daniel F. Voytas, Volker P. Brendel, John K. Vandyk, Adam J. Bogdanove
Tal Effector-Nucleotide Targeter (Tale-Nt) 2.0: Tools For Tal Effector Design And Target Prediction, Erin L. Doyle, Nicholas J. Booher, Daniel S. Standage, Daniel F. Voytas, Volker P. Brendel, John K. Vandyk, Adam J. Bogdanove
Nicholas J. Booher
Transcription activator-like (TAL) effectors are repeat-containing proteins used by plant pathogenic bacteria to manipulate host gene expression. Repeats are polymorphic and individually specify single nucleotides in the DNA target, with some degeneracy. A TAL effector-nucleotide binding code that links repeat type to specified nucleotide enables prediction of genomic binding sites for TAL effectors and customization of TAL effectors for use in DNA targeting, in particular as custom transcription factors for engineered gene regulation and as site-specific nucleases for genome editing. We have developed a suite of web-based tools called TAL Effector-Nucleotide Targeter 2.0 (TALE-NT 2.0;https://boglab.plp.iastate.edu/) that enables design …
Genome-Wide Discovery Of Missing Genes In Biological Pathways Of Prokaryotes., Yong Chen, Fenglou Mao, Guojun Li, Ying Xu
Genome-Wide Discovery Of Missing Genes In Biological Pathways Of Prokaryotes., Yong Chen, Fenglou Mao, Guojun Li, Ying Xu
Yong Chen
BACKGROUND: Reconstruction of biological pathways is typically done through mapping well-characterized pathways of model organisms to a target genome, through orthologous gene mapping. A limitation of such pathway-mapping approaches is that the mapped pathway models are constrained by the composition of the template pathways, e.g., some genes in a target pathway may not have corresponding genes in the template pathways, the so-called "missing gene" problem.
METHODS: We present a novel pathway-expansion method for identifying additional genes that are possibly involved in a target pathway after pathway mapping, to fill holes caused by missing genes as well as to expand the …
Gene Expression Profiling In Salmonella Choleraesuis-Infected Porcine Lung Using A Long Oligonucleotide Microarray, Shu-Hong Zhao, Daniel Kuhar, Joan K. Lunney, Harry Dawson, Catherine Guidry, Jolita J. Uthe, Shawn M. D. Bearson, Justin Recknor, Dan Nettleton, Christopher K. Tuggle
Gene Expression Profiling In Salmonella Choleraesuis-Infected Porcine Lung Using A Long Oligonucleotide Microarray, Shu-Hong Zhao, Daniel Kuhar, Joan K. Lunney, Harry Dawson, Catherine Guidry, Jolita J. Uthe, Shawn M. D. Bearson, Justin Recknor, Dan Nettleton, Christopher K. Tuggle
Dan Nettleton
Understanding the transcriptional response to pathogenic bacterial infection within food animals is of fundamental and applied interest. To determine the transcriptional response to Salmonella enterica serovar Choleraesuis (SC) infection, a 13,297-oligonucleotide swine array was used to analyze RNA from control, 24-h postinoculation (hpi), and 48-hpi porcine lung tissue from pigs infected with SC. In total, 57 genes showed differential expression (p < 0.001; false discovery rate = 12%). Quantitative real-time PCR (qRT-PCR) of 61 genes was used to confirm the microarray results and to identify pathways responding to infection. Of the 33 genes identified by microarray analysis as differentially expressed, 23 were confirmed by qRT-PCR results. A novel finding was that two transglutaminase family genes (TGM1 and TGM3) showed dramatic increases in expression postinoculation; combined with several other apoptotic genes, they indicated the induction of apoptotic pathways during SC infection. A predominant T helper 1-type immune response occurred during infection, with interferon …
Scanning Microarrays At Multiple Intensities Enhances Discovery Of Differentially Expressed Genes, David S. Skibbe, Xiujuan Wang, Xuefeng Zhao, Lisa A. Borsuk, Dan Nettleton, Patrick S. Schnable
Scanning Microarrays At Multiple Intensities Enhances Discovery Of Differentially Expressed Genes, David S. Skibbe, Xiujuan Wang, Xuefeng Zhao, Lisa A. Borsuk, Dan Nettleton, Patrick S. Schnable
Dan Nettleton
Motivation: Scanning parameters are often overlooked when optimizing microarray experiments. A scanning approach that extends the dynamic data range by acquiring multiple scans of different intensities has been developed.
Results: Data from each of three scan intensities (low, medium, high) were analyzed separately using multiple scan and linear regression approaches to identify and compare the sets of genes that exhibit statistically significant differential expression. In the multiple scan approach only one-third of the differentially expressed genes were shared among the three intensities, and each scan intensity identified unique sets of differentially expressed genes. The set of differentially expressed genes from …
Gene Mapping Via Bulked Segregant Rna-Seq (Bsr-Seq), Sanzhen Liu, Cheng-Ting Yeh, Ho Man Tang, Dan Nettleton, Patrick S. Schnable
Gene Mapping Via Bulked Segregant Rna-Seq (Bsr-Seq), Sanzhen Liu, Cheng-Ting Yeh, Ho Man Tang, Dan Nettleton, Patrick S. Schnable
Dan Nettleton
Bulked segregant analysis (BSA) is an efficient method to rapidly and efficiently map genes responsible for mutant phenotypes. BSA requires access to quantitative genetic markers that are polymorphic in the mapping population. We have developed a modification of BSA (BSR-Seq) that makes use of RNA-Seq reads to efficiently map genes even in populations for which no polymorphic markers have been previously identified. Because of the digital nature of next-generation sequencing (NGS) data, it is possible to conduct de novo SNP discovery and quantitatively genotype BSA samples by analyzing the same RNA-Seq data using an empirical Bayesian approach. In addition, analysis …
Reverse Engineering And Analysis Of Large Genome-Scale Gene Networks, Maneesha Aluru, Jaroslaw Zola, Dan Nettleton, Srinivas Aluru
Reverse Engineering And Analysis Of Large Genome-Scale Gene Networks, Maneesha Aluru, Jaroslaw Zola, Dan Nettleton, Srinivas Aluru
Dan Nettleton
Reverse engineering the whole-genome networks of complex multicellular organisms continues to remain a challenge. While simpler models easily scale to large number of genes and gene expression datasets, more accurate models are compute intensive limiting their scale of applicability. To enable fast and accurate reconstruction of large networks, we developed Tool for Inferring Network of Genes (TINGe), a parallel mutual information (MI)-based program. The novel features of our approach include: (i) B-spline-based formulation for linear-time computation of MI, (ii) a novel algorithm for direct permutation testing and (iii) development of parallel algorithms to reduce run-time and facilitate construction of large …
Stress Response To Co2 Deprivation By Arabidopsis Thaliana In Plant Cultures, Souvik Banerjee, Oskar Siemianowski, Meiling Liu, Kara R. Lind, Xinchun Tian, Dan Nettleton, Ludovico Cademartiri
Stress Response To Co2 Deprivation By Arabidopsis Thaliana In Plant Cultures, Souvik Banerjee, Oskar Siemianowski, Meiling Liu, Kara R. Lind, Xinchun Tian, Dan Nettleton, Ludovico Cademartiri
Dan Nettleton
After being the standard plant propagation protocol for decades, cultures of Arabidopsis thaliana sealed with Parafilm remain common today out of practicality, habit, or necessity (as in co-cultures with microorganisms). Regardless of concerns over the aeration of these cultures, no investigation has explored the CO2 transport inside these cultures and its effect on the plants. Thereby, it was impossible to assess whether Parafilm-seals used today or in thousands of older papers in the literature constitute a treatment, and whether this treatment could potentially affect the study of other treatments.For the first time we report the CO2concentrations in Parafilm-sealed cultures of …
Interchromosomal Transfer Of Immune Regulation During Infection Of Barley With The Powdery Mildew Pathogen, Priyanka Surana, Ruo Xu, Gregory Fuerst, Antony V. E. Chapman, Dan Nettleton, Roger P. Wise
Interchromosomal Transfer Of Immune Regulation During Infection Of Barley With The Powdery Mildew Pathogen, Priyanka Surana, Ruo Xu, Gregory Fuerst, Antony V. E. Chapman, Dan Nettleton, Roger P. Wise
Dan Nettleton
Powdery mildew pathogens colonize over 9500 plant species, causing critical yield loss. The Ascomycete fungus, Blumeria graminis f. sp. hordei (Bgh), causes powdery mildew disease in barley (Hordeum vulgare L.). Successful infection begins with penetration of host epidermal cells, culminating in haustorial feeding structures, facilitating delivery of fungal effectors to the plant and exchange of nutrients from host to pathogen. We used expression Quantitative Trait Locus (eQTL) analysis to dissect the temporal control of immunity-associated gene expression in a doubled haploid barley population challenged with Bgh. Two highly significant regions possessing trans eQTL were identified near …
Mu Transposon Insertion Sites And Meiotic Recombination Events Co-Localize With Epigenetic Marks For Open Chromatin Across The Maize Genome, Sanzhen Liu, Cheng-Ting Yeh, Tieming Ji, Kai Ying, Haiyan Wu, Ho Man Tang, Yan Fu, Daniel S. Nettleton, Patrick S. Schnable
Mu Transposon Insertion Sites And Meiotic Recombination Events Co-Localize With Epigenetic Marks For Open Chromatin Across The Maize Genome, Sanzhen Liu, Cheng-Ting Yeh, Tieming Ji, Kai Ying, Haiyan Wu, Ho Man Tang, Yan Fu, Daniel S. Nettleton, Patrick S. Schnable
Dan Nettleton
The Mu transposon system of maize is highly active, with each of the ∼50–100 copies transposing on average once each generation. The approximately one dozen distinct Mutransposons contain highly similar ∼215 bp terminal inverted repeats (TIRs) and generate 9-bp target site duplications (TSDs) upon insertion. Using a novel genome walking strategy that uses these conserved TIRs as primer binding sites, Mu insertion sites were amplified from Mu stocks and sequenced via 454 technology. 94% of ∼965,000 reads carried Mu TIRs, demonstrating the specificity of this strategy. Among these TIRs, 21 novel Mu TIRs were discovered, revealing additional complexity of …
Flor Revisited (Again): Eqtl And Mutational Analysis Of Nb-Lrr Mediated Immunity To Powdery Mildew In Barley, Roger P. Wise, Priyanka Surana, Gregory S. Fuerst, Ruo Xu, Divya Mistry, Julie A. Dickerson, Dan Nettleton Dr.
Flor Revisited (Again): Eqtl And Mutational Analysis Of Nb-Lrr Mediated Immunity To Powdery Mildew In Barley, Roger P. Wise, Priyanka Surana, Gregory S. Fuerst, Ruo Xu, Divya Mistry, Julie A. Dickerson, Dan Nettleton Dr.
Dan Nettleton
Genes encoding early signaling events in pathogen defense often are identified only by their phenotype. Such genes involved in barley-powdery mildew interactions include Mla, specifying race-specific resistance; Rar1 (Required for Mla12-specified resistance1), and Rom1 (Restoration of Mla-specified resistance1). The HSP90-SGT1-RAR1 complex appears to function as chaperone in MLA-specified resistance, however, much remains to be discovered regarding the precise signaling underlying plant immunity. Genetic analyses of fast-neutron mutants derived from CI 16151 (Mla6) uncovered a novel locus, designated Rar3 (Required for Mla6-specified resistance3). Rar3 segregates independent of Mla6 and Rar1, and rar3 mutants are susceptible to Blumeria graminis f. sp. hordei …
Crowdsourcing Image Analysis For Plant Phenomics To Generate Ground Truth Data For Machine Learning, Naihui Zhou, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, Carolyn J. Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W. Kelly, Iddo Friedberg
Crowdsourcing Image Analysis For Plant Phenomics To Generate Ground Truth Data For Machine Learning, Naihui Zhou, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, Carolyn J. Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W. Kelly, Iddo Friedberg
Dan Nettleton
The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here we explore the use of crowdsourcing to generate a large number of training data of good quality. We explore an image analysis task involving the segmentation of corn tassels from images taken in a field setting. We investigate the accuracy, speed and other quality metrics when this task is performed by students for academic credit, Amazon MTurk workers, and Master Amazon MTurk …
Differentially Expressed Genes In Blood From Young Pigs Between Two Swine Lines Divergently Selected For Feed Efficiency: Potential Biomarkers For Improving Feed Efficiency, Haibo Liu, Yet T. Nguyen, Daniel S. Nettleton, Jack C. M. Dekkers, Christopher K. Tuggle
Differentially Expressed Genes In Blood From Young Pigs Between Two Swine Lines Divergently Selected For Feed Efficiency: Potential Biomarkers For Improving Feed Efficiency, Haibo Liu, Yet T. Nguyen, Daniel S. Nettleton, Jack C. M. Dekkers, Christopher K. Tuggle
Dan Nettleton
The goal of this study was to find potential gene expression biomarkers in blood of piglets that can be used to predict pigs’ future feed efficiency. Using RNA-seq technology, we found 453 genes were differentially expressed (false discovery rate (FDR) ≤ 0.05) in the blood of two Yorkshire lines of pigs divergently selected for feed efficiency (FE) based on residual feed intake (RFI). Genes involved in several biosynthetic processes were overrepresented among genes more highly expressed in the low RFI line compared to the high RFI line. Weighted gene co-expression network analysis (WGCNA) also revealed genes involved in some of …
Structure-Based Design Of Hepatitis C Virus Vaccines That Elicit Neutralizing Antibody Responses To A Conserved Epitope, Brian G. Pierce, Elisabeth N. Boucher, Kurt H. Piepenbrink, Ejemel Monir, Chelsea A. Rapp, William D. Thomas Jr., Eric J. Sundberg, Zhiping Weng, Yan Wang
Structure-Based Design Of Hepatitis C Virus Vaccines That Elicit Neutralizing Antibody Responses To A Conserved Epitope, Brian G. Pierce, Elisabeth N. Boucher, Kurt H. Piepenbrink, Ejemel Monir, Chelsea A. Rapp, William D. Thomas Jr., Eric J. Sundberg, Zhiping Weng, Yan Wang
Kurt Piepenbrink
Despite recent advances in therapeutic options, hepatitis C virus (HCV) remains a severe global disease burden, and a vaccine can substantially reduce its incidence. Due to its extremely high sequence variability, HCV can readily escape the immune response; thus, an effective vaccine must target conserved, functionally important epitopes. Using the structure of a broadly neutralizing antibody in complex with a conserved linear epitope from the HCV E2 envelope glycoprotein (residues 412 to 423; epitope I), we performed structure-based design of immunogens to induce antibody responses to this epitope. This resulted in epitope-based immunogens based on a cyclic defensin protein, as …
Is Trust Always Better Than Distrust? The Potential Value Of Distrust In Newer Virtual Teams Engaged In Short-Term Decision-Making, Paul Benjamin Lowry, Ryan M. Schuetzler, Justin Scott Giboney, Thomas A. Gregory
Is Trust Always Better Than Distrust? The Potential Value Of Distrust In Newer Virtual Teams Engaged In Short-Term Decision-Making, Paul Benjamin Lowry, Ryan M. Schuetzler, Justin Scott Giboney, Thomas A. Gregory
Ryan Schuetzler
The debate on the benefits of trust or distrust in groups has generated a substantial amount of research that points to the positive aspects of trust in groups, and generally characterizes distrust as a negative group phenomenon. Therefore, many researchers and practitioners assume that trust is inherently good and distrust is inherently bad. However, recent counterintuitive evidence obtained from face-to-face (FtF) groups indicates that the opposite might be true; trust can prove detrimental, and distrust instrumental, to decision-making in groups. By extending this argument to virtual teams (VTs), we examined the value of distrust for VTs completing routine and non-routine …
Cure-All- Large Scale Implementation Of Authentic Dna Barcoding Research Into First-Year Biology Curriculum, Oliver Hyman, Elizabeth Doyle, Joseph Harsh, Joanna Mott, Andrea Pesce, Bejan Rasoul, Kyle Seifert, Ray A. Enke
Cure-All- Large Scale Implementation Of Authentic Dna Barcoding Research Into First-Year Biology Curriculum, Oliver Hyman, Elizabeth Doyle, Joseph Harsh, Joanna Mott, Andrea Pesce, Bejan Rasoul, Kyle Seifert, Ray A. Enke
Ray Enke Ph.D.
Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke
Saccharomyces Genome Database & Uniprot Bioinformatics Analysis, Ray A. Enke
Ray Enke Ph.D.
Confold2: Improved Contact-Driven Ab Initio Protein Structure Modeling, Badri Adhikari, Jianlin Cheng
Confold2: Improved Contact-Driven Ab Initio Protein Structure Modeling, Badri Adhikari, Jianlin Cheng
Badri Adhikari
No abstract provided.
Dna Subway Purple Line Metagenome Analysis, Ray A. Enke
Dna Subway Purple Line Metagenome Analysis, Ray A. Enke
Ray Enke Ph.D.
Fastqc Analysis & Hisat Alignments Using Cyverse (Part 2), Ray A. Enke
Fastqc Analysis & Hisat Alignments Using Cyverse (Part 2), Ray A. Enke
Ray Enke Ph.D.
- view the output files of FastQC analysis
- create custom data tracks from HISAT alignment files for visualization in the UCSC Genome Browser
Fastqc Analysis & Hisat Alignments Using Cyverse (Part 1), Ray A. Enke
Fastqc Analysis & Hisat Alignments Using Cyverse (Part 1), Ray A. Enke
Ray Enke Ph.D.
Intro To Command Line Coding (Fastqe & Fastp), Ray A. Enke
Intro To Command Line Coding (Fastqe & Fastp), Ray A. Enke
Ray Enke Ph.D.
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully Apc Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad M. Khan, Alice H. Grant, Anais Martinez, Gully Apc Burns, Brendan S. Thatcher, Vishwanath T. Anekonda, Benjamin W. Thompson, Zachary S. Roberts, Daniel H. Moralejo, James E. Blevins
Arshad M. Khan, Ph.D.
De-Identified Interviews For The Study: Data Challenges Of Biomedical Researchers In The Age Of Omics, Rolando Garcia-Milian, Denise Hersey, Milica Vukmirovic
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
Fast And Space-Efficient Location Of Heavy Or Dense Segments In Run-Length Encoded Sequences, Ronald I. Greenberg
Fast And Space-Efficient Location Of Heavy Or Dense Segments In Run-Length Encoded Sequences, Ronald I. Greenberg
Ronald Greenberg
This paper considers several variations of an optimization problem with potential applications in such areas as biomolecular sequence analysis and image processing. Given a sequence of items, each with a weight and a length, the goal is to find a subsequence of consecutive items of optimal value, where value is either total weight or total weight divided by total length. There may also be a specified lower and/or upper bound on the acceptable length of subsequences. This paper shows that all the variations of the problem are solvable in linear time and space even with non-uniform item lengths and divisible …
Landscape Genomics: Natural Selection Drives The Evolution Of Mitogenome In Penguins, Barbara Ramos, Daniel González-Acuña, David E. Loyola, Warren E. Johnson, Patricia G. Parker, Melanie Massaro, Gisele P. M. Dantas, Marcelo D. Miranda, Juliana A. Vianna
Landscape Genomics: Natural Selection Drives The Evolution Of Mitogenome In Penguins, Barbara Ramos, Daniel González-Acuña, David E. Loyola, Warren E. Johnson, Patricia G. Parker, Melanie Massaro, Gisele P. M. Dantas, Marcelo D. Miranda, Juliana A. Vianna
Patricia Parker
A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulous, Konstantin Läufer, George K. Thiruvathukal, Catherine Putonti
A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulous, Konstantin Läufer, George K. Thiruvathukal, Catherine Putonti
Konstantin Läufer
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 …
A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulos, Konstantin Laufer, George K. Thiruvathukal, Catherine Putonti
A Polyglot Approach To Bioinformatics Data Integration: A Phylogenetic Analysis Of Hiv-1, Steven Reisman, Thomas Hatzopoulos, Konstantin Laufer, George K. Thiruvathukal, Catherine Putonti
Konstantin Läufer
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 …
A Polyglot Approach To Bioinformatics Data Integration: Phylogenetic Analysis Of Hiv-1, Steven Reisman, Catherine Putonti, George K. Thiruvathukal, Konstantin Läufer
A Polyglot Approach To Bioinformatics Data Integration: Phylogenetic Analysis Of Hiv-1, Steven Reisman, Catherine Putonti, George K. Thiruvathukal, Konstantin Läufer
Konstantin Läufer
RNA-interference has potential therapeutic use against HIV-1 by targeting highly-functional mRNA sequences that contribute to the virulence of the virus. Empirical work has shown that within cell lines, all of the HIV-1 genes are affected by RNAi-induced gene silencing. While promising, inherent in this treatment is the fact that RNAi sequences must be highly specific. HIV, however, mutates rapidly, leading to the evolution of viral escape mutants. In fact, such strains are under strong selection to include mutations within the targeted region, evading the RNAi therapy and thus increasing the virus’ fitness in the host. Taking a phylogenetic approach, we …
Seven Bacteriophages Isolated From The Female Urinary Microbiota, Kema Malki, Emily Sible, Alexandria Cooper, Andrea Garretto, Katherine Bruder, Siobhan C. Watkins, Catherine Putonti
Seven Bacteriophages Isolated From The Female Urinary Microbiota, Kema Malki, Emily Sible, Alexandria Cooper, Andrea Garretto, Katherine Bruder, Siobhan C. Watkins, Catherine Putonti
Catherine Putonti
Recent research has debunked the myth that urine is sterile, having uncovered bacteria within the bladders of healthy individuals. However, the identity, diversity, and putative roles of bacteriophages in the bladder are unknown. We report the draft genome sequences of seven bacteriophages isolated from microbial communities from adult female bladders.
Miip: The Monomer Identification And Isolation Program, Christopher Bun, William Ziccardi, Jeffrey Doering, Catherine Putonti
Miip: The Monomer Identification And Isolation Program, Christopher Bun, William Ziccardi, Jeffrey Doering, Catherine Putonti
Catherine Putonti
Repetitive elements within genomic DNA are both functionally and evolutionarily informative. Discovering these sequences ab initio is computationally challenging, compounded by the fact that selection on these repeats is often relaxed; thus sequence identity between repetitive elements can vary significantly. Here we present a new application, the Monomer Identification and Isolation Program (MiIP), which provides functionality to both search for a particular repeat as well as discover repetitive elements within a larger genomic sequence. To compare MiIP’s performance with other repeat detection tools, analysis was conducted for synthetic sequences as well as several α21-II clones and HC21 BAC sequences. The …