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Current Protocols in Bioinformatics

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https://www.readbyqxmd.com/read/28902400/using-the-pride-database-and-proteomexchange-for-submitting-and-accessing-public-proteomics-datasets
#1
Andrew F Jarnuczak, Juan Antonio Vizcaíno
The ProteomeXchange (PX) Consortium is the unifying framework for world-leading mass spectrometry (MS)-based proteomics repositories. Current members include the PRIDE database (U.K.), PeptideAtlas/PASSEL, and MassIVE (U.S.A.), and jPOST (Japan). The Consortium standardizes submission and dissemination of public proteomics data worldwide. This is achieved through implementing common data submission guidelines and enforcing metadata requirements by each of the members. Furthermore, the members use a common identifier space...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28902399/using-the-contextual-hub-analysis-tool-chat-in-cytoscape-to-identify-contextually-relevant-network-hubs
#2
Tanja Muetze, David J Lynn
Highly connected nodes in biological networks are called network hubs. Hubs are topologically important to the structure of the network and have been shown to be preferentially associated with a range of phenotypes of interest. The relative importance of a hub node, however, can change depending on the biological context. Here, we provide a step-by-step protocol for using the Contextual Hub Analysis Tool (CHAT), an application within Cytoscape 3, which enables users to easily construct and visualize a network of interactions from a gene or protein list of interest, integrate contextual information, such as gene or protein expression data, and identify hub nodes that are more highly connected to contextual nodes than expected by chance...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28902398/using-proteomescout-a-resource-of-post-translational-modifications-their-experiments-and-the-proteins-that-they-annotate
#3
Arshag D Mooradian, Jason M Held, Kristen M Naegle
Post-translational modifications (PTMs) of protein amino acids are ubiquitous and important to protein function, localization, degradation, and more. In recent years, there has been an explosion in the discovery of PTMs as a result of improvements in PTM measurement techniques, including quantitative measurements of PTMs across multiple conditions. ProteomeScout is a repository for such discovery and quantitative experiments and provides tools for visualizing PTMs within proteins, including where they are relative to other PTMS, domains, mutations, and structure...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28902397/using-sql-databases-for-sequence-similarity-searching-and-analysis
#4
William R Pearson, Aaron J Mackey
Relational databases can integrate diverse types of information and manage large sets of similarity search results, greatly simplifying genome-scale analyses. By focusing on taxonomic subsets of sequences, relational databases can reduce the size and redundancy of sequence libraries and improve the statistical significance of homologs. In addition, by loading similarity search results into a relational database, it becomes possible to explore and summarize the relationships between all of the proteins in an organism and those in other biological kingdoms...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28902396/data-analysis-pipeline-for-rna-seq-experiments-from-differential-expression-to-cryptic-splicing
#5
Hari Krishna Yalamanchili, Ying-Wooi Wan, Zhandong Liu
RNA sequencing (RNA-seq) is a high-throughput technology that provides unique insights into the transcriptome. It has a wide variety of applications in quantifying genes/isoforms and in detecting non-coding RNA, alternative splicing, and splice junctions. It is extremely important to comprehend the entire transcriptome for a thorough understanding of the cellular system. Several RNA-seq analysis pipelines have been proposed to date. However, no single analysis pipeline can capture dynamics of the entire transcriptome...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28902395/finding-homologs-in-amino-acid-sequences-using-network-blast-searches
#6
Istvan Ladunga
BLAST, the Basic Local Alignment Search Tool, is used more frequently than any other biosequence database search program. We show how to run searches on the Web, and demonstrate how to increase performance by fine-tuning arguments for a specific research project. We offer guidance for interpreting results, statistical significance and biological relevance issues, and suggest complementary analyses. This unit covers both protein-to-protein (blastp) searches and translated searches (blastx, tblastn, tfastx). blastx conceptually translates the query sequence and tblastn translates all nucleotide sequences in a database, while tblastx translates both the query and the database sequences into amino acid sequences...
September 13, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654729/signor-a-database-of-causal-relationships-between-biological-entities-a-short-guide-to-searching-and-browsing
#7
Prisca Lo Surdo, Alberto Calderone, Gianni Cesareni, Livia Perfetto
SIGNOR (http://signor.uniroma2.it), the SIGnaling Network Open Resource, is a database designed to store experimentally validated causal interactions, i.e., interactions where a source entity has a regulatory effect (up-regulation, down-regulation, etc.) on a second target entity. SIGNOR acts both as a source of signaling information and a support for data analysis, modeling, and prediction. A user-friendly interface features the ability to search entries for any given protein or group of proteins and to display their interactions graphically in a network view...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654728/finding-similar-nucleotide-sequences-using-network-blast-searches
#8
Istvan Ladunga
The Basic Local Alignment Search Tool (BLAST) is the first tool in the annotation of nucleotide or amino acid sequences. BLAST is a flagship of bioinformatics due to its performance and user-friendliness. Beginners and intermediate users will learn how to design and submit blastn and Megablast searches on the Web pages at the National Center for Biotechnology Information. We map nucleic acid sequences to genomes, find identical or similar mRNAs, expressed sequence tag, and noncoding RNA sequences, and run Megablast searches, which are much faster than blastn...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654727/using-the-noncode-database-resource
#9
Li Xiyuan, Bu Dechao, Sun Liang, Wu Yang, Fang Shuangsang, Li Hui, Luo Haitao, Luo Chunlong, Fang Wenzheng, Chen Runsheng, Zhao Yi
NONCODE is a comprehensive database that aims to present the most complete collection and annotation of non-coding RNAs, especially long non-coding RNAs (lncRNA genes), and thus NONCODE is essential to modern biological and medical research. Scientists are producing a flood of new data from which new lncRNA genes and lncRNA-disease relationships are continually being identified. NONCODE assimilates such information from a wide variety of sources including published articles, RNA-seq data, micro-array data and databases on genetic variation (dbSNP) and genome-wide associations (GWAS)...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654726/exploring-short-linear-motifs-using-the-elm-database-and-tools
#10
Marc Gouw, Hugo Sámano-Sánchez, Kim Van Roey, Francesca Diella, Toby J Gibson, Holger Dinkel
The Eukaryotic Linear Motif (ELM) resource is dedicated to the characterization and prediction of short linear motifs (SLiMs). SLiMs are compact, degenerate peptide segments found in many proteins and essential to almost all cellular processes. However, despite their abundance, SLiMs remain largely uncharacterized. The ELM database is a collection of manually annotated SLiM instances curated from experimental literature. In this article we illustrate how to browse and search the database for curated SLiM data, and cover the different types of data integrated in the resource...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654725/searching-online-mendelian-inheritance-in-man-omim-a-knowledgebase-of-human-genes-and-genetic-phenotypes
#11
Joanna S Amberger, Ada Hamosh
Online Mendelian Inheritance in Man (OMIM) at OMIM.org is the primary repository of comprehensive, curated information on genes and genetic phenotypes and the relationships between them. This unit provides an overview of the types of information in OMIM and optimal strategies for searching and retrieving the information. OMIM.org has links to many related and complementary databases, providing easy access to more information on a topic. The relationship between genes and genetic disorders is highlighted in this unit...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28654712/identifying-significantly-impacted-pathways-and-putative-mechanisms-with-ipathwayguide
#12
Sidra Ahsan, Sorin Drăghici
iPathwayGuide is a gene expression analysis tool that provides biological context and inferences from data generated by high-throughput sequencing. iPathwayGuide utilizes a systems biology approach to identify significantly impacted signaling pathways, Gene Ontology terms, disease processes, predicted microRNAs, and putative mechanisms based on the given differential expression signature. By using a novel analytical approach called Impact Analysis, iPathwayGuide considers the role, position, and relationships of each gene within a pathway, which results in a significant reduction in false positives, as well as a better ability to identify the truly impacted pathways and putative mechanisms that can explain all measured gene expression changes...
June 27, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28463400/using-3drna-for-rna-3-d-structure-prediction-and-evaluation
#13
Jian Wang, Yi Xiao
This unit describes how to use 3dRNA to predict RNA 3-D structures from their sequences and secondary (2-D) structures, and how to use 3dRNAscore to evaluate the predicted structures. The predicted RNA 3-D structures can be used to predict or understand their functions and can also be used to find the interactions between the RNA and other molecules. © 2017 by John Wiley & Sons, Inc.
May 2, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28463399/phylogenetic-inference-using-revbayes
#14
Sebastian Höhna, Michael J Landis, Tracy A Heath
Bayesian phylogenetic inference aims to estimate the evolutionary relationships among different lineages (species, populations, gene families, viral strains, etc.) in a model-based statistical framework that uses the likelihood function for parameter estimates. In recent years, evolutionary models for Bayesian analysis have grown in number and complexity. RevBayes uses a probabilistic-graphical model framework and an interactive scripting language for model specification to accommodate and exploit model diversity and complexity within a single software package...
May 2, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/28463398/using-funseq2-for-coding-and-non-coding-variant-annotation-and-prioritization
#15
Priyanka Dhingra, Yao Fu, Mark Gerstein, Ekta Khurana
The identification of non-coding drivers remains a challenge and bottleneck for the use of whole-genome sequencing in the clinic. FunSeq2 is a computational tool for annotation and prioritization of somatic mutations in coding and non-coding regions. It integrates a data context made from large-scale genomic datasets and uses a high-throughput variant prioritization pipeline. This unit provides guidelines for installing and running FunSeq2 to (a) annotate and prioritize variants, (b) incorporate user-defined annotations, and (c) detect differential gene expression...
May 2, 2017: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/27930809/ascatngs-identifying-somatically-acquired-copy-number-alterations-from-whole-genome-sequencing-data
#16
Keiran M Raine, Peter Van Loo, David C Wedge, David Jones, Andrew Menzies, Adam P Butler, Jon W Teague, Patrick Tarpey, Serena Nik-Zainal, Peter J Campbell
We have developed ascatNgs to aid researchers in carrying out Allele-Specific Copy number Analysis of Tumours (ASCAT). ASCAT is capable of detecting DNA copy number changes affecting a tumor genome when comparing to a matched normal sample. Additionally, the algorithm estimates the amount of tumor DNA in the sample, known as Aberrant Cell Fraction (ACF). ASCAT itself is an R-package which requires the generation of many file types. Here, we present a suite of tools to help handle this for the user. Our code is available on our GitHub site (https://github...
December 8, 2016: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/27930808/searching-the-mouse-genome-informatics-mgi-resources-for-information-on-mouse-biology-from-genotype-to-phenotype
#17
David R Shaw
The Mouse Genome Informatics (MGI) resource provides the research community with access to information on the genetics, genomics, and biology of the laboratory mouse. Core data in MGI include gene characterization and function, phenotype and disease model descriptions, DNA and protein sequence data, gene expression data, vertebrate homologies, SNPs, mapping data, and links to other bioinformatics databases. Semantic integration is supported through the use of standardized nomenclature, and through the use of controlled vocabularies such as the mouse Anatomical Dictionary, the Mammalian Phenotype Ontology, and the Gene Ontologies...
December 8, 2016: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/27930807/exploring-flybase-data-using-quicksearch
#18
Steven J Marygold, Giulia Antonazzo, Helen Attrill, Marta Costa, Madeline A Crosby, Gilberto Dos Santos, Joshua L Goodman, L Sian Gramates, Beverley B Matthews, Alix J Rey, Jim Thurmond
FlyBase (flybase.org) is the primary online database of genetic, genomic, and functional information about Drosophila species, with a major focus on the model organism Drosophila melanogaster. The long and rich history of Drosophila research, combined with recent surges in genomic-scale and high-throughput technologies, mean that FlyBase now houses a huge quantity of data. Researchers need to be able to rapidly and intuitively query these data, and the QuickSearch tool has been designed to meet these needs...
December 8, 2016: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/27930806/the-search-engine-for-multi-proteoform-complexes-an-online-tool-for-the-identification-and-stoichiometry-determination-of-protein-complexes
#19
Owen S Skinner, Luis F Schachner, Neil L Kelleher
Recent advances in top-down mass spectrometry using native electrospray now enable the analysis of intact protein complexes with relatively small sample amounts in an untargeted mode. Here, we describe how to characterize both homo- and heteropolymeric complexes with high molecular specificity using input data produced by tandem mass spectrometry of whole protein assemblies. The tool described is a "search engine for multi-proteoform complexes," (SEMPC) and is available for free online. The output is a list of candidate multi-proteoform complexes and scoring metrics, which are used to define a distinct set of one or more unique protein subunits, their overall stoichiometry in the intact complex, and their pre- and post-translational modifications...
December 8, 2016: Current Protocols in Bioinformatics
https://www.readbyqxmd.com/read/27930805/cgpcavemanwrapper-simple-execution-of-caveman-in-order-to-detect-somatic-single-nucleotide-variants-in-ngs-data
#20
David Jones, Keiran M Raine, Helen Davies, Patrick S Tarpey, Adam P Butler, Jon W Teague, Serena Nik-Zainal, Peter J Campbell
CaVEMan is an expectation maximization-based somatic substitution-detection algorithm that is written in C. The algorithm analyzes sequence data from a test sample, such as a tumor relative to a reference normal sample from the same patient and the reference genome. It performs a comparative analysis of the tumor and normal sample to derive a probabilistic estimate for putative somatic substitutions. When combined with a set of validated post-hoc filters, CaVEMan generates a set of somatic substitution calls with high recall and positive predictive value...
December 8, 2016: Current Protocols in Bioinformatics
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