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Articles 121 - 150 of 158
Full-Text Articles in Biology
Bioinformatics Indicates That Meiothermus Ruber Genes Mrub_1710 And Mrub_1712 Are Homologs Of The Escherichia Coli Genes B2903 (P-Protein; Glycine Dehydrogenase) And B2905 (T-Protein; Aminomethyltransferase), Respectively, Malory J. Groen, Dr. Lori Scott
Bioinformatics Indicates That Meiothermus Ruber Genes Mrub_1710 And Mrub_1712 Are Homologs Of The Escherichia Coli Genes B2903 (P-Protein; Glycine Dehydrogenase) And B2905 (T-Protein; Aminomethyltransferase), Respectively, Malory J. Groen, Dr. Lori Scott
Meiothermus ruber Genome Analysis Project
This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation – Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_1710 and Mrub_1712. We predict that Mrub_1710 encodes the enzyme glycine dehydrogenase (DNA coordinates 3046168.. 3049041 on the reverse strand), which is the first step of the glycine degradation pathway (KEGG map number 00260). It catalyzes the conversion of glycine to S-Amino-methyldihydro-lipoylprotein. The E. coli K12 MG1655 ortholog is predicted to be b2903, which has the gene identifier gcvP. …
E. Coli B3639 And B3634 Are Orthologs Of Mrub_2047 And Mrub_1372, Rong Zheng, Dr. Lori Scott
E. Coli B3639 And B3634 Are Orthologs Of Mrub_2047 And Mrub_1372, Rong Zheng, Dr. Lori Scott
Meiothermus ruber Genome Analysis Project
This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation –Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_2047 and Mrub_1372. We predict that Mrub_2047 encodes the enzyme fused 4'-phosphopantothenoylcysteine decarboxylase/phosphopantothenoylcysteine synthetase, FMN-binding (DNA coordinates 2083590..2084816 on the forward strand), which is the first and the second steps of the CoA biosynthesis pathway (KEGG map number 00770). It catalyzes the conversion of (R)-4’-phosphopantothenate to (R)-4’-phosphopantothenoyl-L-cysteine and the conversion of (R)-4’-phosphopantothenoyl-L-cysteine to 4’-phosphopantetheine. The E. coli K12 MG1655 ortholog …
Mrub_0258 Gene Is An Ortholog Of The B4226 Gene (Ppa) Found In Escherichia Coli; Mrub_1198 Gene Is An Ortholog Of The B2501 Gene (Ppk) Found In Escherichia Coli;, Brandon M. Wills, Dr. Lori Scott
Mrub_0258 Gene Is An Ortholog Of The B4226 Gene (Ppa) Found In Escherichia Coli; Mrub_1198 Gene Is An Ortholog Of The B2501 Gene (Ppk) Found In Escherichia Coli;, Brandon M. Wills, Dr. Lori Scott
Meiothermus ruber Genome Analysis Project
This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation –Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_0258 and Mrub_1198. We predict that Mrub_0258 encodes the enzyme inorganic pyrophosphatase (226403..226942), which is indirectly involved with the oxidative phosphorylation pathway (KEGG map number 00190). It catalyzes the conversion of the diphosphate ions made by Mrub_1198 into two orthophosphate ions, which can then be used by ATP synthase to produce energy. The E. coli K12 MG1655 ortholog is predicted …
Order-Wide In Silico Comparative Analysis And Identification Ofgrowth-Regulating Factor Proteins In Malpighiales, Murat Kemal Avci, Muavvi̇z Ayvaz, Hüseyi̇n Uysal, Emre Sevi̇ndi̇k, Seda Örenay Boyacioğlu, Çi̇ğdem Yamaner
Order-Wide In Silico Comparative Analysis And Identification Ofgrowth-Regulating Factor Proteins In Malpighiales, Murat Kemal Avci, Muavvi̇z Ayvaz, Hüseyi̇n Uysal, Emre Sevi̇ndi̇k, Seda Örenay Boyacioğlu, Çi̇ğdem Yamaner
Turkish Journal of Biology
Malpighiales, containing approximately 16,000 species, is one of the largest and most diverse angiosperm orders in plants. Growth-regulating factor (GRF) protein is a putative transcription factor and plays a regulatory role during plant growth and development processes such as stem elongation and cell expansion. The latest available protein data provide an opportunity to compare and understand the critical similarities and differentiation in GRF proteins among Malpighiales members. In the present study we conducted domain, two- and three-dimensional (2D, 3D) comparative, physicochemical, subcellular prediction, and sequence analysis of 87 putative GRF proteins belonging to 4 genera in Malpighiales using different bioinformatic …
Proteomics Comparison Of Aspartic Protease Enzyme In Insects, Samin Seddigh, Maryam Darabi
Proteomics Comparison Of Aspartic Protease Enzyme In Insects, Samin Seddigh, Maryam Darabi
Turkish Journal of Biology
Aspartic proteases (APs; EC: 3.4.23) are a catalytic type of protease enzymes that use an activated water molecule, bound to one or more aspartate residues, for catalysis of their peptide substrates. In this study, bioinformatic analyses of APs enzymes were performed on insect protein sequences, including nineteen species of eleven different families. According to the conserved motifs obtained with MEME and MAST tools, three motifs were common to all insects. The structural and functional analyses of five selected insects from different orders were performed with ProtParam, SOPMA, SignalP 4.1, TMHMM 2.0, and ProDom tools in the ExPASy database. The tertiary …
Simba: A Web Tool For Managing Bacterial Genome Assembly Generated By Ion Pgm Sequencing Technology, Diego C. B. Mariano, Felipe L. Pereira, Edgar L. Aguiar, Letícia C. Oliveira, Leandro Benevides, Luís C. Guimarães, Edson L. Folador, Thiago J. Sousa, Preetam Ghosh, Debmalya Barh, Henrique C. P. Figueiredo, Artur Silva, Rommel T. J. Ramos, Vasco A. C. Azevedo
Simba: A Web Tool For Managing Bacterial Genome Assembly Generated By Ion Pgm Sequencing Technology, Diego C. B. Mariano, Felipe L. Pereira, Edgar L. Aguiar, Letícia C. Oliveira, Leandro Benevides, Luís C. Guimarães, Edson L. Folador, Thiago J. Sousa, Preetam Ghosh, Debmalya Barh, Henrique C. P. Figueiredo, Artur Silva, Rommel T. J. Ramos, Vasco A. C. Azevedo
Biology Publications
Background
The evolution of Next-Generation Sequencing (NGS) has considerably reduced the cost per sequenced-base, allowing a significant rise of sequencing projects, mainly in prokaryotes. However, the range of available NGS platforms requires different strategies and software to correctly assemble genomes. Different strategies are necessary to properly complete an assembly project, in addition to the installation or modification of various software. This requires users to have significant expertise in these software and command line scripting experience on Unix platforms, besides possessing the basic expertise on methodologies and techniques for genome assembly. These difficulties often delay the complete genome assembly projects.
Results …
Investigating The Interaction Of Aurka And Ube2c In Colorectal Cancer Cells, Apurva M. Hegde
Investigating The Interaction Of Aurka And Ube2c In Colorectal Cancer Cells, Apurva M. Hegde
Dissertations and Theses (Open Access)
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in the US. Among the many genomic aberrations previously implicated in colorectal cancer, recurrent amplification of chromosome 20q is frequently associated with liver metastasis. Previous research in our lab identified a gene signature on chromosome 20q associated with colorectal cancer progression. In this study, one of the genes in the signature, the ubiquitin conjugating enzyme UBE2C, was identified through preliminary bioinformatics analysis as a candidate for further examination of its role in CRC progression. Co-expression analysis of UBE2C in tumor-normal datasets from the public database Oncomine revealed all the …
Bioinformatics For The Comparative Genomic Analysis Of The Cotton (Gossypium) Polyploid Complex, Justin Thomas Page
Bioinformatics For The Comparative Genomic Analysis Of The Cotton (Gossypium) Polyploid Complex, Justin Thomas Page
Theses and Dissertations
Understanding the composition, evolution, and function of the cotton (Gossypium) genome is complicated by the joint presence of two genomes in its nucleus (AT and DT genomes). Specifically, read-mapping (a fundamental part of next-generation sequence analysis) cannot adequately differentiate reads as belonging to one genome or the other. These two genomes were derived from progenitor A-genome and D-genome diploids involved in ancestral allopolyploidization. To better understand the allopolyploid genome, we developed PolyCat to categorize reads according to their genome of origin based on homoeo-SNPs that differentiate the two genomes. We re-sequenced the genomes of extant diploid relatives of tetraploid cotton …
Draft Genome Sequences Of Six Different Staphylococcus Epidermidis Clones, Isolated Individually From Preterm Neonates Presenting With Sepsis At Edinburgh's Royal Infirmary, Paul Walsh, M. Bekaert, J. Carroll, T. Manning, B. Kelly, A. O'Driscoll, X. Lu, C. Smith, P. Dickinson, K. Templeton, P. Ghazal, Roy D. Sleator
Draft Genome Sequences Of Six Different Staphylococcus Epidermidis Clones, Isolated Individually From Preterm Neonates Presenting With Sepsis At Edinburgh's Royal Infirmary, Paul Walsh, M. Bekaert, J. Carroll, T. Manning, B. Kelly, A. O'Driscoll, X. Lu, C. Smith, P. Dickinson, K. Templeton, P. Ghazal, Roy D. Sleator
Department of Biological Sciences Publications
Herein, we report the draft genome sequences of six individual Staphylococcus epidermidis clones, cultivated from blood taken from different preterm neonatal sepsis patients at the Royal Infirmary, Edinburgh, Scotland, United Kingdom.
Environmental Processing In Meiothermus Ruber: The Inorganic Phosphate Abc Transporter, Mich A. Gehrig Jr., Emma M. Segura-Fernandez, Dr. Lori Scott
Environmental Processing In Meiothermus Ruber: The Inorganic Phosphate Abc Transporter, Mich A. Gehrig Jr., Emma M. Segura-Fernandez, Dr. Lori Scott
Biology: Student Scholarship & Creative Works
Bioinformatics analysis of M. ruber
Addressing Misconceptions About Evolution, Sarah O'Leary-Driscoll, Don Dosch
Addressing Misconceptions About Evolution, Sarah O'Leary-Driscoll, Don Dosch
Evolution
"Leave with effective ways to identify and address misconceptions about evolution, with a particular focus on supporting explanations with evidence."
A Bioinformatics Approach To Revealing The Genetic Basis For Host Range Specificity, Hayley A. Norian
A Bioinformatics Approach To Revealing The Genetic Basis For Host Range Specificity, Hayley A. Norian
James Madison Undergraduate Research Journal (JMURJ)
Bacteriophages, or phages, are viruses that infect bacteria. Mycobacteriophages are bacteriophages that specifically infect the genus Mycobacterium. This genus of bacteria includes human pathogens such as Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium ulcerans, which cause tuberculosis, leprosy and Buruli ulcer, respectively. The full genome sequences of 654 mycobacteriophages are currently available. Collectively, these 654 phages encode 69,581 genes. Only 20.25% of these genes have at least one known homologue in NCBI, the National Center for Biotechnology Information, leaving roughly 80% of all known mycobacteriophage genes without even a predicted function. Bacteriophages are highly host-specific and typically only infect a small …
Experimental Microbial Evolution: History And Conceptual Underpinnings, Julian Adams, Frank Rosenzweig
Experimental Microbial Evolution: History And Conceptual Underpinnings, Julian Adams, Frank Rosenzweig
Biological Sciences Faculty Publications
We chronicle and dissect the history of the field of Experimental Microbial Evolution, beginning with work by Monod. Early research was largely carried out by microbiologists and biochemists, who used experimental evolutionary change as a tool to understand structure-function relationships. These studies attracted the interest of evolutionary biologists who recognized the power of the approach to address issues such as the tempo of adaptive change, the costs and benefits of sex, parallelism, and the role which contingency plays in the evolutionary process. In the 1980s and 1990s, an ever-expanding body of microbial, physiological and biochemical data, together with new technologies …
Using Phylogenetically-Informed Annotation (Pia) To Search For Light-Interacting Genes In Transcriptomes From Non-Model Organisms, Daniel Isaac Speiser, M Sabrina Pankey, Alexandera K. Zaharoff, Barbara A. Battelle, Heather D. Bracken-Grissom, Jesse W. Breinholt, Seth M. Bybee, Thomas W. Cronin, Anders Garm, Annie R. Lindgren, Nipam H. Patel, Megan L. Porter, Meredith E. Protas, Ajna S. Rivera, Jeanne M. Serb, Kirk S. Zigler, Keith A. Crandall, Todd H. Oakley
Using Phylogenetically-Informed Annotation (Pia) To Search For Light-Interacting Genes In Transcriptomes From Non-Model Organisms, Daniel Isaac Speiser, M Sabrina Pankey, Alexandera K. Zaharoff, Barbara A. Battelle, Heather D. Bracken-Grissom, Jesse W. Breinholt, Seth M. Bybee, Thomas W. Cronin, Anders Garm, Annie R. Lindgren, Nipam H. Patel, Megan L. Porter, Meredith E. Protas, Ajna S. Rivera, Jeanne M. Serb, Kirk S. Zigler, Keith A. Crandall, Todd H. Oakley
Faculty Publications
Background
Tools for high throughput sequencing and de novo assembly make the analysis of transcriptomes (i.e. the suite of genes expressed in a tissue) feasible for almost any organism. Yet a challenge for biologists is that it can be difficult to assign identities to gene sequences, especially from non-model organisms. Phylogenetic analyses are one useful method for assigning identities to these sequences, but such methods tend to be time-consuming because of the need to re-calculate trees for every gene of interest and each time a new data set is analyzed. In response, we employed existing tools for phylogenetic analysis …
Robust Meta-Analysis Shows That Glioma Transcriptional Subtyping Complements Traditional Approaches, Sanghoon Lee, Stephen Piccolo, Kristina Allen-Brady
Robust Meta-Analysis Shows That Glioma Transcriptional Subtyping Complements Traditional Approaches, Sanghoon Lee, Stephen Piccolo, Kristina Allen-Brady
Faculty Publications
Background Gliomas traditionally have been sub-classified
based on histopathological observations. However, this ap-
proach is subject to inter-observer variability, and histopatho-
logical features may not reflect the biological mechanisms that
drive tumor growth. High-throughput transcriptional profiling
has shown promise in objectively and reproducibly identify-
ing glioma subtypes. Most prior studies have typically used
only modest sample sizes and have sometimes overlooked
important data-processing steps to ensure sample quality and
to evaluate the robustness of quantitative findings. The pur-
pose of our study was to define robust glioma subtypes by
applying rigorous preprocessing and validation steps to 1,952
microarray samples aggregated …
Genomic Characterization Of Polyps In Familial Adenomatous Polyposis Patients And Identification Of Candidate Chemopreventive Drugs, Francis A. San Lucas
Genomic Characterization Of Polyps In Familial Adenomatous Polyposis Patients And Identification Of Candidate Chemopreventive Drugs, Francis A. San Lucas
Dissertations and Theses (Open Access)
Familial adenomatous polyposis (FAP) is an autosomal dominant disease characterized by APC germline mutations and the development of hundreds to thousands of premalignant adenomas in the gastrointestinal tract at a young age. If left untreated, these patients inevitably develop colon cancer (CRC) and small bowel tumors. We performed exome sequencing of samples from 12 FAP patients to characterize adenomas and to identify candidate genes of adenoma development that may serve as potential targets for chemoprevention drug development. From each patient, a blood and at least one polyp were sequenced with a total of 25 polyps analyzed. In some cases, normal …
The Isolation And Characterization Of Tirotheta9, A Novel A4 Mycobacterium Phage, Sarah Schrader
The Isolation And Characterization Of Tirotheta9, A Novel A4 Mycobacterium Phage, Sarah Schrader
Mahurin Honors College Capstone Experience/Thesis Projects
Bacteriophages are the most abundant biological entities on earth, yet relatively few have been characterized. In this project, a novel bacteriophage was isolated from the environment, characterized, and compared with others in the databases. Mycobacterium smegmatis, a harmless soil bacterium, served as the host and facilitated the enrichment and recovery of mycobacteriophages. A single phage type was purified to homogeneity and named TiroTheta9 (TT9). Electron microscopy revealed that the phage particles have icosahedral heads 58 ± 2 nm in diameter and tails 174 ± 5 nm in length. The TT9 genomic DNA was purified and sequenced using 454 pyrosequencing …
Transcriptome Analysis Of Sea Lamprey Embryogenesis, Zakary Ilya Yermolenko
Transcriptome Analysis Of Sea Lamprey Embryogenesis, Zakary Ilya Yermolenko
Seton Hall University Dissertations and Theses (ETDs)
The sea lamprey (Petromyzon marinus) has survived throughout evolution for hundreds of millions of years. It is considered an invasive species to the Great Lakes that has caused dramatic changes in the ecosystem for fish communities resulting in the collapse of a fishing industry that was previously valued at billions of dollars. Successful management of the sea lamprey is essential to a sustainable fishing industry and biodiversity. Therefore sea lamprey embryos were studied at various stages of development by growing them in a simulated habitat. RNAs from adult female ovaries and embryos at different time points during embryogenesis …
A Course-Based Research Experience: How Benefits Change With Increased Investment In Instructional Time, Christopher D. Shaffer, Consuelo J. Alvarez, April E. Bednarski, David Dunbar, Anya L. Goodman, Catherine Reinke, Anne G. Rosenwald, Michael J. Wolyniak, Cheryl Bailey, Daron Barnard, Christopher Bazinet, Dale L. Beach, James E.J. Bedard, Satish Bhalla, John Braverman, Martin Burg, Vidya Chandrasekaran, Hui-Min Chung, Kari Clase, Randall J. Dejong, Justin R. Diangelo, Chunguang Du, Todd T. Eckdahl, Heather Eisler, Julia A. Emerson, Amy Frary, Donald Frohlich, Yuying Gosser, Shubha Govind, Adam Haberman, Amy T. Hark, Charles Hauser, Arlene Hoogewerf, Laura L.M. Hoopes, Carina E. Howell, Diana Johnson, Christopher J. Jones, Lisa Kadlec, Marian Kaehler, S. Catherine Silver Key, Adam Kleinschmit, Nighat P. Kokan, Olga Kopp, Gary Kuleck, Judith Leatherman, Jane Lopilato, Christy Mackinnon, Juan Carlos Martinez-Cruzado, Gerard Mcneil, Stephanie Mel, Hemlata Mistry, Alexis Nagengast, Paul Overvoorde, Don W. Paetkau, Susan Parrish, Celeste N. Peterson, Mary Preuss, Laura K. Reed, Dennis Revie, Srebrenka Robic, Jennifer Roecklein-Canfield, Michael R. Rubin, Kenneth Saville, Stephanie Schroeder, Karim Sharif, Mary Shaw, Gary Skuse, Christopher D. Smith, Mary A. Smith, Sheryl T. Smith, Eric Spana, Mary Spratt, Aparna Sreenivasan, Joyce Stamm, Paul Szauter, Jeffrey S. Thompson, Matthew Wawersik, James Youngblom, Leming Zhou, Elaine R. Mardis, Jeremy Buhler, Wilson Leung, David Lopatto, Sarah C.R. Elgin
A Course-Based Research Experience: How Benefits Change With Increased Investment In Instructional Time, Christopher D. Shaffer, Consuelo J. Alvarez, April E. Bednarski, David Dunbar, Anya L. Goodman, Catherine Reinke, Anne G. Rosenwald, Michael J. Wolyniak, Cheryl Bailey, Daron Barnard, Christopher Bazinet, Dale L. Beach, James E.J. Bedard, Satish Bhalla, John Braverman, Martin Burg, Vidya Chandrasekaran, Hui-Min Chung, Kari Clase, Randall J. Dejong, Justin R. Diangelo, Chunguang Du, Todd T. Eckdahl, Heather Eisler, Julia A. Emerson, Amy Frary, Donald Frohlich, Yuying Gosser, Shubha Govind, Adam Haberman, Amy T. Hark, Charles Hauser, Arlene Hoogewerf, Laura L.M. Hoopes, Carina E. Howell, Diana Johnson, Christopher J. Jones, Lisa Kadlec, Marian Kaehler, S. Catherine Silver Key, Adam Kleinschmit, Nighat P. Kokan, Olga Kopp, Gary Kuleck, Judith Leatherman, Jane Lopilato, Christy Mackinnon, Juan Carlos Martinez-Cruzado, Gerard Mcneil, Stephanie Mel, Hemlata Mistry, Alexis Nagengast, Paul Overvoorde, Don W. Paetkau, Susan Parrish, Celeste N. Peterson, Mary Preuss, Laura K. Reed, Dennis Revie, Srebrenka Robic, Jennifer Roecklein-Canfield, Michael R. Rubin, Kenneth Saville, Stephanie Schroeder, Karim Sharif, Mary Shaw, Gary Skuse, Christopher D. Smith, Mary A. Smith, Sheryl T. Smith, Eric Spana, Mary Spratt, Aparna Sreenivasan, Joyce Stamm, Paul Szauter, Jeffrey S. Thompson, Matthew Wawersik, James Youngblom, Leming Zhou, Elaine R. Mardis, Jeremy Buhler, Wilson Leung, David Lopatto, Sarah C.R. Elgin
Faculty Publications
There is widespread agreement that science, technology, engineering, and mathematics programs should provide undergraduates with research experience. Practical issues and limited resources, however, make this a challenge. We have developed a bioinformatics project that provides a course-based research experience for students at a diverse group of schools and offers the opportunity to tailor this experience to local curriculum and institution-specific student needs. We assessed both attitude and knowledge gains, looking for insights into how students respond given this wide range of curricular and institutional variables. While different approaches all appear to result in learning gains, we find that a significant …
Small Rna Expression During Programmed Rearragement Of A Vertebrate Genome, Joseph R. Herdy Iii
Small Rna Expression During Programmed Rearragement Of A Vertebrate Genome, Joseph R. Herdy Iii
Theses and Dissertations--Biology
The sea lamprey (Petromyzon marinus) undergoes programmed genome rearrangements (PGRs) during embryogenesis that results in the deletion of ~0.5 Gb of germline DNA from the somatic lineage. The underlying mechanism of these rearrangements remains largely unknown. miRNAs (microRNAs) and piRNAs (PIWI interacting RNAs) are two classes of small noncoding RNAs that play important roles in early vertebrate development, including differentiation of cell lineages, modulation of signaling pathways, and clearing of maternal transcripts. Here, I utilized next generation sequencing to determine the temporal expression of miRNAs, piRNAs, and other small noncoding RNAs during the first five days of lamprey …
Current Status And Future Perspectives Of Bioinformatics In Tanzania, Sylvester L. Lyantagaye
Current Status And Future Perspectives Of Bioinformatics In Tanzania, Sylvester L. Lyantagaye
Tanzania Journal of Science
The main bottleneck in advancing genomics in present times is the lack of expertise in using bioinformatics tools and approaches for data mining in raw DNA sequences generated by modern high throughput technologies such as next generation sequencing. Although bioinformatics has been making major progress and contributing to the development in the rest of the world, it has still not yet fully integrated the tertiary education and research sector in Tanzania. This review aims to introduce a summary of recent achievements, trends and success stories of application of bioinformatics in biotechnology. The applications of bioinformatics in the fields such as …
Identification Of Yeast Cell Cycle Regulated Genes Based On Genomic Features, Chao Cheng, Yao Fu, Linsheng Shen, Mark Gerstein
Identification Of Yeast Cell Cycle Regulated Genes Based On Genomic Features, Chao Cheng, Yao Fu, Linsheng Shen, Mark Gerstein
Dartmouth Scholarship
Background: Time-course microarray experiments have been widely used to identify cell cycle regulated genes. However, the method is not effective for lowly expressed genes and is sensitive to experimental conditions. To complement microarray experiments, we propose a computational method to predict cell cycle regulated genes based on their genomic features – transcription factor binding and motif profiles.
Results: Through integrating gene-expression data with ChIP-chip binding and putative binding sites of transcription factors, our method shows high accuracy in discriminating yeast cell cycle regulated genes from non-cell cycle regulated ones. We predict 211 novel cell cycle regulated genes. Our model rediscovers …
Rcytoscape: Tools For Exploratory Network Analysis, Paul Shannon, Mark L. Grimes, Burak Kutlu, Jan J. Bit, David J. Galas
Rcytoscape: Tools For Exploratory Network Analysis, Paul Shannon, Mark L. Grimes, Burak Kutlu, Jan J. Bit, David J. Galas
Biological Sciences Faculty Publications
Background: Biomolecular pathways and networks are dynamic and complex, and the perturbations to them which cause disease are often multiple, heterogeneous and contingent. Pathway and network visualizations, rendered on a computer or published on paper, however, tend to be static, lacking in detail, and ill-equipped to explore the variety and quantities of data available today, and the complex causes we seek to understand.
Results: RCytoscape integrates R (an open-ended programming environment rich in statistical power and datahandling facilities) and Cytoscape (powerful network visualization and analysis software). RCytoscape extends Cytoscape's functionality beyond what is possible with the Cytoscape graphical user interface. …
Clinical And Molecular Models Of Glioblastoma Multiforme Survival, R. Piccolo Stephen, J. Frey Lewis
Clinical And Molecular Models Of Glioblastoma Multiforme Survival, R. Piccolo Stephen, J. Frey Lewis
Faculty Publications
Glioblastoma multiforme (GBM), a highly aggressive form of brain cancer, results in a median survival of 12–15 months. For decades, researchers have explored the effects of clinical and molecular factors on this disease and have identified several candidate prognostic markers. In this study, we evaluated the use of multivariate classification models for differentiating between subsets of patients who survive a relatively long or short time. Data for this study came from The Cancer Genome Atlas (TCGA), a public repository containing clinical, treatment, histological and biomolecular variables for hundreds of patients. We applied variable-selection and classification algorithms in a cross-validated design …
A Novel Reproductive Peptide, Phoenixin, G. L.C. Yosten, R. M. Lyu, A. J.W. Hsueh, O. Avsian-Kretchmer, J. K. Chang, C. W. Tullock, S. L. Dun, N. Dun, W. K. Samson
A Novel Reproductive Peptide, Phoenixin, G. L.C. Yosten, R. M. Lyu, A. J.W. Hsueh, O. Avsian-Kretchmer, J. K. Chang, C. W. Tullock, S. L. Dun, N. Dun, W. K. Samson
Biological Sciences Faculty Research & Creative Works
Normal anterior pituitary function is essential for fertility. Release from the gland of the reproductive hormones luteinising hormone and follicle-stimulating hormone is regulated primarily by hypothalamically-derived gonadotrophin-releasing hormone (GnRH), although other releasing factors (RF) have been postulated to exist. Using a bioinformatic approach, we have identified a novel peptide, phoenixin, that regulates pituitary gonadotrophin secretion by modulating the expression of the GnRH receptor, an action with physiologically relevant consequences. Compromise of phoenixin in vivo using small interfering RNA resulted in the delayed appearance of oestrus and a reduction in GnRH receptor expression in the pituitary. Phoenixin may represent a new …
Bioinformatic Analysis And In Vitro Expression Of Malaria Parasite Translocon And Ribonuclease Binding-Like Rhoptry Genes, Moses Z. Timta
Bioinformatic Analysis And In Vitro Expression Of Malaria Parasite Translocon And Ribonuclease Binding-Like Rhoptry Genes, Moses Z. Timta
ETD Archive
Malaria caused by the parasite Plasmodium, still remains a significant public health problem worldwide, due to lack of a vaccine and emerging drug and insecticide resistance, among malaria parasites and mosquito vectors, respectively. Rhoptry proteins of Plasmodium enable merozoite invasion of host erythrocytes. However, only a few of these proteins have been characterized. Thirty-six P. yoelii merozoite rhoptry proteins were identified as putative rhoptry proteins by proteome analysis. Some of these proteins have been characterized while others still remain an intense area of active research. Molecular characterization and understanding of these novel proteins may assist in vaccine development, design of …
Global Assessment Of Network Inference Algorithms Based On Available Literature Of Gene/Protein Interactions, Gökmen Altay, Nejla Altay, David Neal
Global Assessment Of Network Inference Algorithms Based On Available Literature Of Gene/Protein Interactions, Gökmen Altay, Nejla Altay, David Neal
Turkish Journal of Biology
We propose a framework that uses the available gene/protein interaction databases of the literature as a universal benchmark in order to globally assess the inference performances of gene network inference algorithms. We also developed an R software package for convenient use of the framework, which can also be used in general as a quick tool to search in the literature for available validations of interactions. We applied the proposed approach to 2 publicly available prostate cancer gene expression datasets and a large breast cancer gene expression dataset. The results revealed different aspects and superiority of algorithms that had not been …
Determination Of Potential Azotobacter Vinelandii Bacteriophage Gene Sequences: A Bioinformatics Approach, Anish Reddy, Sarah Bagby
Determination Of Potential Azotobacter Vinelandii Bacteriophage Gene Sequences: A Bioinformatics Approach, Anish Reddy, Sarah Bagby
Intersections Fall 2020
Microbial communities play a key role in shaping many diverse ecosystems through their biogeochemical contributions. These communities comprise not only bacteria and archaea but also their viruses, whose reproduction profoundly affects host cell biology. While many bacterial species have been well characterized, the challenges of isolation and sequencing have hampered the study of environmental viruses such as bacteriophages. The model organism Azotobacter vinelandii is a common nitrogen-fixing soil bacterium. To our knowledge, no Azotobacter phages currently exist in culture. However, modern bioinformatic and database approaches can be used to identify the metagenomic sequences that may derive from bacteriophages that infect …
Evolving Hard Problems: Generating Human Genetics Datasets With A Complex Etiology, Daniel S Himmelstein, Casey S Greene, Jason H Moore
Evolving Hard Problems: Generating Human Genetics Datasets With A Complex Etiology, Daniel S Himmelstein, Casey S Greene, Jason H Moore
Dartmouth Scholarship
BackgroundA goal of human genetics is to discover genetic factors that influence individuals' susceptibility to common diseases. Most common diseases are thought to result from the joint failure of two or more interacting components instead of single component failures. This greatly complicates both the task of selecting informative genetic variants and the task of modeling interactions between them. We and others have previously developed algorithms to detect and model the relationships between these genetic factors and disease. Previously these methods have been evaluated with datasets simulated according to pre-defined genetic models.
Hivtoolbox, An Integrated Web Application For Investigating Hiv, David P. Sargeant, Sandeep Deverasetty, Yang Luo, Angel Villahoz Baleta, Stephanie Zobrist, Viraj Rathnayake, Jacqueline C. Russo, Jay Vyas, Mark A. Muesing, Martin Schiller
Hivtoolbox, An Integrated Web Application For Investigating Hiv, David P. Sargeant, Sandeep Deverasetty, Yang Luo, Angel Villahoz Baleta, Stephanie Zobrist, Viraj Rathnayake, Jacqueline C. Russo, Jay Vyas, Mark A. Muesing, Martin Schiller
Life Sciences Faculty Research
Many bioinformatic databases and applications focus on a limited domain of knowledge federating links to information in other databases. This segregated data structure likely limits our ability to investigate and understand complex biological systems. To facilitate research, therefore, we have built HIVToolbox, which integrates much of the knowledge about HIV proteins and allows virologists and structural biologists to access sequence, structure, and functional relationships in an intuitive web application. HIV-1 integrase protein was used as a case study to show the utility of this application. We show how data integration facilitates identification of new questions and hypotheses much more rapid …