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Bioinformatics python

Leila Sabrina Ullmann, Ramiro das Neves Dias-Neto, Didier Quevedo Cagnini, Ricardo Seiti Yamatogi, Jose Paes Oliveira-Filho, Viviane Nemer, Rodrigo Hidalgo Friciello Teixeira, Alexander Welker Biondo, João Pessoa Araújo
BACKGROUND: Mycobacterium is an important zoonotic agent with companion, livestock and wildlife animals reportedly playing a role as reservoirs. Although its association with reptiles has been described, the disease cycle remains to be fully established, particularly in snakes. Accordingly, this study aimed to report the occurrence of mycobacteriosis with clinical pneumonia in one exotic python snake (Python molurus) and one native green snake (Philodryas olfersii) from the Sorocaba Zoo, São Paulo state, Brazil...
2016: Journal of Venomous Animals and Toxins Including Tropical Diseases
Kristopher J L Irizarry, Randall L Bryden
Color variation provides the opportunity to investigate the genetic basis of evolution and selection. Reptiles are less studied than mammals. Comparative genomics approaches allow for knowledge gained in one species to be leveraged for use in another species. We describe a comparative vertebrate analysis of conserved regulatory modules in pythons aimed at assessing bioinformatics evidence that transcription factors important in mammalian pigmentation phenotypes may also be important in python pigmentation phenotypes...
2016: Advances in Bioinformatics
Ilias Georgakopoulos-Soares, Naman Jain, Jesse M Gray, Martin Hemberg
MOTIVATION: With the rapid advances in DNA synthesis and sequencing technologies and the continuing decline in the associated costs, high-throughput experiments can be performed to investigate the regulatory role of thousands of oligonucleotide sequences simultaneously. Nevertheless, designing high-throughput reporter assay experiments such as massively parallel reporter assays (MPRAs) and similar methods remains challenging. RESULTS: We introduce MPRAnator, a set of tools that facilitate rapid design of MPRA experiments...
September 6, 2016: Bioinformatics
Olga S Voitenko, Andi Dhroso, Anna Feldmann, Dmitry Korkin, Olga V Kalinina
MOTIVATION: Due to their high genomic variability, RNA viruses and retroviruses present a unique opportunity for detailed study of molecular evolution. Lentiviruses, with HIV being a notable example, are one of the best studied viral groups: hundreds of thousands of sequences are available together with experimentally resolved three-dimensional structures for most viral proteins. In this work, we use these data to study specific patterns of evolution of the viral proteins, and their relationship to protein interactions and immunogenicity...
September 1, 2016: Bioinformatics
William Poole, David L Gibbs, Ilya Shmulevich, Brady Bernard, Theo A Knijnenburg
MOTIVATION: Combining P-values from multiple statistical tests is a common exercise in bioinformatics. However, this procedure is non-trivial for dependent P-values. Here, we discuss an empirical adaptation of Brown's method (an extension of Fisher's method) for combining dependent P-values which is appropriate for the large and correlated datasets found in high-throughput biology. RESULTS: We show that the Empirical Brown's method (EBM) outperforms Fisher's method as well as alternative approaches for combining dependent P-values using both noisy simulated data and gene expression data from The Cancer Genome Atlas...
September 1, 2016: Bioinformatics
Yvette Temate-Tiagueu, Sahar Al Seesi, Meril Mathew, Igor Mandric, Alex Rodriguez, Kayla Bean, Qiong Cheng, Olga Glebova, Ion Măndoiu, Nicole B Lopanik, Alexander Zelikovsky
BACKGROUND: Assessing pathway activity levels is a plausible way to quantify metabolic differences between various conditions. This is usually inferred from microarray expression data. Wide availability of NGS technology has triggered a demand for bioinformatics tools capable of analyzing pathway activity directly from RNA-Seq data. In this paper we introduce XPathway, a set of tools that compares pathway activity analyzing mapping of contigs assembled from RNA-Seq reads to KEGG pathways...
2016: BMC Genomics
Sébastien Buchoux
: When studying biological membranes, Molecular Dynamics (MD) simulations reveal to be quite complementary to experimental techniques. Because the simulated systems keep increasing both in size and complexity, the analysis of MD trajectories need to be computationally efficient while being robust enough to perform analysis on membranes that may be curved or deformed due to their size and/or protein-lipid interactions. This work presents a new software named FATSLiM ('Fast Analysis Toolbox for Simulations of Lipid Membranes') that can extract physical properties from MD simulations of membranes (with or without interacting proteins)...
August 29, 2016: Bioinformatics
Eisuke Hayakawa, Yoshinori Fujimura, Daisuke Miura
: Mass spectrometry imaging (MSI) visualizes the simultaneous lateral distribution of multiple compounds on sample surface. However, it is still difficult to visualize biological indices such as energy charge index from multiple compounds because of the lack of publicly available tools. Here we present MSIdV, a visualization tool for biological indices calculated from mass spectrometry imaging data, which can effectively scan a series of mass spectra and process, calculate and visualize user-defined index measures accurately with a number of signal processing features...
August 19, 2016: Bioinformatics
Niels W Hanson, Kishori M Konwar, Steven J Hallam
MOTIVATION: A perennial problem in the analysis of environmental sequence information is the assignment of reads or assembled sequences, e.g., contigs or scaffolds, to discrete taxonomic bins. In the absence of reference genomes for most environmental microorganisms, the use of intrinsic nucleotide patterns and phylogenetic anchors can improve assembly-dependent binning needed for more accurate taxonomic and functional annotation in communities of microorganisms, and assist in identifying mobile genetic elements or lateral gene transfer events...
August 11, 2016: Bioinformatics
Ángel Goñi-Moreno, Juhyun Kim, Víctor de Lorenzo
Visualization of the intracellular constituents of individual bacteria while performing as live biocatalysts is in principle doable through more or less sophisticated fluorescence microscopy. Unfortunately, rigorous quantitation of the wealth of data embodied in the resulting images requires bioinformatic tools that are not widely extended within the community-let alone that they are often subject to licensing that impedes software reuse. In this context we have developed CellShape, a user-friendly platform for image analysis with subpixel precision and double-threshold segmentation system for quantification of fluorescent signals stemming from single-cells...
August 5, 2016: Biotechnology Journal
Daniel A Cuevas, Janaka Edirisinghe, Chris S Henry, Ross Overbeek, Taylor G O'Connell, Robert A Edwards
Microbiological studies are increasingly relying on in silico methods to perform exploration and rapid analysis of genomic data, and functional genomics studies are supplemented by the new perspectives that genome-scale metabolic models offer. A mathematical model consisting of a microbe's entire metabolic map can be rapidly determined from whole-genome sequencing and annotating the genomic material encoded in its DNA. Flux-balance analysis (FBA), a linear programming technique that uses metabolic models to predict the phenotypic responses imposed by environmental elements and factors, is the leading method to simulate and manipulate cellular growth in silico...
2016: Frontiers in Microbiology
Yuanhua Huang, Guido Sanguinetti
MOTIVATION: Isoform quantification is an important goal of RNA-seq experiments, yet it remains problematic for genes with low expression or several isoforms. These difficulties may in principle be ameliorated by exploiting correlated experimental designs, such as time series or dosage response experiments. Time series RNA-seq experiments, in particular, are becoming increasingly popular, yet there are no methods that explicitly leverage the experimental design to improve isoform quantification...
October 1, 2016: Bioinformatics
Kai Kruse, Clemens B Hug, Benjamín Hernández-Rodríguez, Juan M Vaquerizas
: Eukaryotic genomes are hierarchically organized into topologically associating domains (TADs). The computational identification of these domains and their associated properties critically depends on the choice of suitable parameters of TAD-calling algorithms. To reduce the element of trial-and-error in parameter selection, we have developed TADtool: an interactive plot to find robust TAD-calling parameters with immediate visual feedback. TADtool allows the direct export of TADs called with a chosen set of parameters for two of the most common TAD calling algorithms: directionality and insulation index...
June 17, 2016: Bioinformatics
Philip Ewels, Måns Magnusson, Sverker Lundin, Max Käller
MOTIVATION: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate these across tools and large sample sets. Assessing analysis results across an entire project can be time consuming and error prone; batch effects and outlier samples can easily be missed in the early stages of analysis. RESULTS: We present MultiQC, a tool to create a single report visualising output from multiple tools across many samples, enabling global trends and biases to be quickly identified...
October 1, 2016: Bioinformatics
Kyuri Jo, Inuk Jung, Ji Hwan Moon, Sun Kim
MOTIVATION: To understand the dynamic nature of the biological process, it is crucial to identify perturbed pathways in an altered environment and also to infer regulators that trigger the response. Current time-series analysis methods, however, are not powerful enough to identify perturbed pathways and regulators simultaneously. Widely used methods include methods to determine gene sets such as differentially expressed genes or gene clusters and these genes sets need to be further interpreted in terms of biological pathways using other tools...
June 15, 2016: Bioinformatics
Berk Ekmekci, Charles E McAnany, Cameron Mura
Computing has revolutionized the biological sciences over the past several decades, such that virtually all contemporary research in molecular biology, biochemistry, and other biosciences utilizes computer programs. The computational advances have come on many fronts, spurred by fundamental developments in hardware, software, and algorithms. These advances have influenced, and even engendered, a phenomenal array of bioscience fields, including molecular evolution and bioinformatics; genome-, proteome-, transcriptome- and metabolome-wide experimental studies; structural genomics; and atomistic simulations of cellular-scale molecular assemblies as large as ribosomes and intact viruses...
June 2016: PLoS Computational Biology
Ahmed Mohamed, Canh Hao Nguyen, Hiroshi Mamitsuka
UNLABELLED: The popularity of using NMR spectroscopy in metabolomics and natural products has driven the development of an array of NMR spectral analysis tools and databases. Particularly, web applications are well used recently because they are platform-independent and easy to extend through reusable web components. Currently available web applications provide the analysis of NMR spectra. However, they still lack the necessary processing and interactive visualization functionalities...
July 1, 2016: Bioinformatics
Benjamin Schubert, Mathias Walzer, Hans-Philipp Brachvogel, András Szolek, Christopher Mohr, Oliver Kohlbacher
UNLABELLED: Immunoinformatics approaches are widely used in a variety of applications from basic immunological to applied biomedical research. Complex data integration is inevitable in immunological research and usually requires comprehensive pipelines including multiple tools and data sources. Non-standard input and output formats of immunoinformatics tools make the development of such applications difficult. Here we present FRED 2, an open-source immunoinformatics framework offering easy and unified access to methods for epitope prediction and other immunoinformatics applications...
July 1, 2016: Bioinformatics
Samuel M Nicholls, Amanda Clare, Joshua C Randall
UNLABELLED: : We present Goldilocks: a Python package providing functionality for collecting summary statistics, identifying shifts in variation, discovering outlier regions and locating and extracting interesting regions from one or more arbitrary genomes for further analysis, for a user-provided definition of interesting. AVAILABILITY AND IMPLEMENTATION: Goldilocks is freely available open-source software distributed under the MIT licence. Source code is hosted publicly at https://github...
July 1, 2016: Bioinformatics
Elias Dohmen, Lukas P M Kremer, Erich Bornberg-Bauer, Carsten Kemena
MOTIVATION: Genome studies have become cheaper and easier than ever before, due to the decreased costs of high-throughput sequencing and the free availability of analysis software. However, the quality of genome or transcriptome assemblies can vary a lot. Therefore, quality assessment of assemblies and annotations are crucial aspects of genome analysis pipelines. RESULTS: We developed DOGMA, a program for fast and easy quality assessment of transcriptome and proteome data based on conserved protein domains...
September 1, 2016: Bioinformatics
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