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Current protocols in bioinformatics最新文献

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Identification of Key Residues in Proteins Through Centrality Analysis and Flexibility Prediction with RINspector 利用RINspector进行中心性分析和柔韧性预测的蛋白质关键残基鉴定
Current protocols in bioinformatics Pub Date : 2018-11-29 DOI: 10.1002/cpbi.66
Guillaume Brysbaert, Théo Mauri, Jérôme de Ruyck, Marc F. Lensink
{"title":"Identification of Key Residues in Proteins Through Centrality Analysis and Flexibility Prediction with RINspector","authors":"Guillaume Brysbaert,&nbsp;Théo Mauri,&nbsp;Jérôme de Ruyck,&nbsp;Marc F. Lensink","doi":"10.1002/cpbi.66","DOIUrl":"10.1002/cpbi.66","url":null,"abstract":"<p>Protein structures inherently contain information that can be used to decipher their functions, but the exploitation of this knowledge is not trivial. We recently developed an app for the Cytoscape network visualization and analysis program, called RINspector, the goal of which is to integrate two different approaches that identify key residues in a protein structure or complex. The first approach consists of calculating centralities on a residue interaction network (RIN) generated from the three-dimensional structure; the second consists of predicting backbone flexibility and needs only the primary sequence. The identified residues are highly correlated with functional relevance and constitute a good set of targets for mutagenesis experiments. Here we present a protocol that details in a step-by-step fashion how to create a RIN from a structure and then calculate centralities and predict flexibilities. We also discuss how to understand and use the results of the analyses. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.66","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36733161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Using the sORFs.Org Database 使用sorf。组织数据库
Current protocols in bioinformatics Pub Date : 2018-11-28 DOI: 10.1002/cpbi.68
Volodimir Olexiouk, Gerben Menschaert
{"title":"Using the sORFs.Org Database","authors":"Volodimir Olexiouk,&nbsp;Gerben Menschaert","doi":"10.1002/cpbi.68","DOIUrl":"10.1002/cpbi.68","url":null,"abstract":"<p>Ribosome profiling involves sequencing of approximately 30-base-long stretches of ribosome-protected mRNA. The technique enables genome-wide mapping of RNA undergoing active translation. Numerous small open reading frames have been identified by using ribosome profiling, leading researchers to question the assumed non-functional character of sORFs and to the identification of various important sORF translation products. sORFs.org (<i>https://www.sorfs.org</i>) is a public repository of small open reading frames identified by ribosome profiling in a database of over 3 million sORFs across 78 datasets from six species. sORFs.org is a multi-omics endeavor providing tools and metrics to assess the coding potential of the delineated sORFs. A pipeline is also in place to systematically rescan public mass spectrometry datasets to acquire new experimental evidence for sORF-encoded polypeptides. sORFs.org provides two distinct query interfaces, export functionality, and various visualization tools to enable inspection of the available information. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.68","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36714483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Predicting Genes in Single Genomes with AUGUSTUS 利用AUGUSTUS预测单基因组基因
Current protocols in bioinformatics Pub Date : 2018-11-22 DOI: 10.1002/cpbi.57
Katharina J. Hoff, Mario Stanke
{"title":"Predicting Genes in Single Genomes with AUGUSTUS","authors":"Katharina J. Hoff,&nbsp;Mario Stanke","doi":"10.1002/cpbi.57","DOIUrl":"10.1002/cpbi.57","url":null,"abstract":"<p>AUGUSTUS is a tool for finding protein-coding genes and their exon-intron structure in genomic sequences. It does not necessarily require additional experimental input, as it can be applied in so-called <i>ab initio</i> mode. However, extrinsic evidence from various sources such as transcriptome sequencing or the annotations of closely related genomes can be integrated in order to improve the accuracy and completeness of the annotation. AUGUSTUS can be applied to single genomes, or simultaneously to several aligned genomes. Here, we describe steps required for training AUGUSTUS for the annotation of individual genomes and the steps to do the actual structural annotation. Further, we describe the generation and integration of evidence from various sources of extrinsic evidence. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.57","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36757565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 177
Issue Information TOC 问题信息TOC
Current protocols in bioinformatics Pub Date : 2018-11-21 DOI: 10.1002/cpbi.60
{"title":"Issue Information TOC","authors":"","doi":"10.1002/cpbi.60","DOIUrl":"10.1002/cpbi.60","url":null,"abstract":"","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.60","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47141721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Good Citizenship Made Easy: A Step-by-Step Guide to Submitting RNA-Seq Data to NCBI 良好的公民身份很容易:向NCBI提交RNA-Seq数据的分步指南
Current protocols in bioinformatics Pub Date : 2018-11-13 DOI: 10.1002/cpbi.67
Wiebke Feindt, Sara J. Oppenheim, Robert DeSalle, Shaadi Mehr
{"title":"Good Citizenship Made Easy: A Step-by-Step Guide to Submitting RNA-Seq Data to NCBI","authors":"Wiebke Feindt,&nbsp;Sara J. Oppenheim,&nbsp;Robert DeSalle,&nbsp;Shaadi Mehr","doi":"10.1002/cpbi.67","DOIUrl":"10.1002/cpbi.67","url":null,"abstract":"<p>The analysis of transcriptome data from non-model organisms contributes to our understanding of diverse aspects of evolutionary biology, including developmental processes, speciation, adaptation, and extinction. Underlying this diversity is one shared feature, the generation of enormous amounts of sequence data. Data availability requirements in most journals oblige researchers to make their raw transcriptome data publicly available, and the databases housed at the National Center for Biotechnology Information (NCBI) are a popular choice for data deposition. Unfortunately, the successful submission of raw sequences to the Sequence Read Archive (SRA) and transcriptome assemblies to the Transcriptome Shotgun Assembly (TSA) can be challenging for novice users, significantly delaying data availability and publication. Here we present two comprehensive protocols for submitting RNA-Seq data to NCBI databases, accompanied by an easy-to-use website that facilitates the timely submission of data by researchers of any experience level. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.67","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36718353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Pre-Processing MALDI/TOF Mass Spectra by Using Geena 2 利用Geena 2对MALDI/TOF质谱进行预处理
Current protocols in bioinformatics Pub Date : 2018-11-13 DOI: 10.1002/cpbi.59
P. Romano, A. Profumo, A. Facchiano
{"title":"Pre-Processing MALDI/TOF Mass Spectra by Using Geena 2","authors":"P. Romano,&nbsp;A. Profumo,&nbsp;A. Facchiano","doi":"10.1002/cpbi.59","DOIUrl":"10.1002/cpbi.59","url":null,"abstract":"<p>Geena 2 is a tool for filtering, averaging, and aligning MALDI/TOF mass spectra, designed to assist scientists in the analysis of high volumes of data and support them for comparative studies. Three web interfaces are available with different levels of complexity. In this manuscript, we explain how to use Geena 2 with these three interfaces to perform analyses of one's own data. Two support protocols showing how to check the example input file and how to create an input file with own data are also presented. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.59","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36718355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Investigation of RNA-RNA Interactions Using the RISE Database 利用RISE数据库研究RNA-RNA相互作用
Current protocols in bioinformatics Pub Date : 2018-11-08 DOI: 10.1002/cpbi.58
Yanyan Ju, Jing Gong, Yucheng T. Yang, Qiangfeng Cliff Zhang
{"title":"Investigation of RNA-RNA Interactions Using the RISE Database","authors":"Yanyan Ju,&nbsp;Jing Gong,&nbsp;Yucheng T. Yang,&nbsp;Qiangfeng Cliff Zhang","doi":"10.1002/cpbi.58","DOIUrl":"10.1002/cpbi.58","url":null,"abstract":"<p>RNA-RNA interactions (RRIs) are essential to understanding the regulatory mechanisms of RNAs. Mapping RRIs <i>in vivo</i> in a transcriptome-wide manner remained challenging until the recent development of several sequencing-based technologies. However, RRIs generated from large-scale studies had not been systematically collected and analyzed before. This article introduces RISE, a database of the RNA Interactome from Sequencing Experiments. RISE provides a comprehensive collection of RRIs in human, mouse, and yeast, derived from transcriptome-wide sequencing experiments, as well as targeted sequencing studies and other public databases/datasets. To facilitate better understanding of the biological roles of these RRIs, RISE also offers rich functional annotations involving RNAs, and an interactive interface to explore the analysis results. Here, we provide a brief description of the RISE website and a step-by-step protocol for using RISE to study RRIs. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.58","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36659991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using geneid to Identify Genes 利用基因识别基因
Current protocols in bioinformatics Pub Date : 2018-10-17 DOI: 10.1002/cpbi.56
Tyler Alioto, Enrique Blanco, Genís Parra, Roderic Guigó
{"title":"Using geneid to Identify Genes","authors":"Tyler Alioto,&nbsp;Enrique Blanco,&nbsp;Genís Parra,&nbsp;Roderic Guigó","doi":"10.1002/cpbi.56","DOIUrl":"10.1002/cpbi.56","url":null,"abstract":"<p>This unit describes the usage of geneid, an efficient gene-finding program that allows for the analysis of large genomic sequences, including whole mammalian chromosomes. These sequences can be partially annotated, and geneid can be used to refine this initial annotation. Training geneid is relatively easy, and parameter configurations exist for a number of eukaryotic species. geneid produces output in a variety of standard formats. The results, thus, can be processed by a variety of software tools, including visualization programs. geneid software is in the public domain, and is undergoing constant development. It is easy to install and use. Exhaustive benchmark evaluations show that geneid compares favorably with other existing gene-finding tools. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.56","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36638223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 53
Improved RNA-seq Workflows Using CyVerse Cyberinfrastructure 使用CyVerse网络基础设施改进RNA-seq工作流程
Current protocols in bioinformatics Pub Date : 2018-08-31 DOI: 10.1002/cpbi.53
Kapeel M. Chougule, Liya Wang, Joshua C. Stein, Xiaofei Wang, Upendra Kumar Devisetty, Robert R. Klein, Doreen Ware
{"title":"Improved RNA-seq Workflows Using CyVerse Cyberinfrastructure","authors":"Kapeel M. Chougule,&nbsp;Liya Wang,&nbsp;Joshua C. Stein,&nbsp;Xiaofei Wang,&nbsp;Upendra Kumar Devisetty,&nbsp;Robert R. Klein,&nbsp;Doreen Ware","doi":"10.1002/cpbi.53","DOIUrl":"10.1002/cpbi.53","url":null,"abstract":"<p>RNA-seq is a vital method for understanding gene structure and expression patterns. Typical RNA-seq analysis protocols use sequencing reads of length 50 to 150 nucleotides for alignment to the reference genome and assembly of transcripts. The resultant transcripts are quantified and used for differential expression and visualization. Existing tools and protocols for RNA-seq are vast and diverse; given their differences in performance, it is critical to select an analysis protocol that is scalable, accurate, and easy to use. Tuxedo, a popular alignment-based protocol for RNA-seq analysis, has been updated with HISAT2, StringTie, StringTie-merge, and Ballgown, and the updated protocol outperforms its predecessor. Similarly, new pseudo-alignment-based protocols like Kallisto and Sleuth reduce runtime and improve performance. However, these tools are challenging for researchers lacking command-line experience. Here, we describe two new RNA-seq analysis protocols, in which all tools are deployed on CyVerse Cyberinfrastructure with user-friendly graphical user interfaces, and validate their performance using plant RNA-seq data. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.53","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36450614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Installing, Maintaining, and Using a Local Copy of BLAST for Compute Cluster or Workstation Use 为计算集群或工作站安装、维护和使用BLAST的本地副本
Current protocols in bioinformatics Pub Date : 2018-08-31 DOI: 10.1002/cpbi.54
Istvan Ladunga
{"title":"Installing, Maintaining, and Using a Local Copy of BLAST for Compute Cluster or Workstation Use","authors":"Istvan Ladunga","doi":"10.1002/cpbi.54","DOIUrl":"10.1002/cpbi.54","url":null,"abstract":"<p>The Basic Local Alignment Search Tool (BLAST) is the first resource to computationally characterize a novel amino acid or nucleic acid sequence. BLAST plays important roles in genomics, transcriptomics, and protein science. For numerous academic and commercial researchers, neither BLAST Web servers nor cloud resources satisfy the requirements of high-throughput comparative genomic pipelines or company policies. For such users, this unit describes how to install BLAST locally, either on a standalone workstation, or preferably on a compute cluster. We provide practical guidance for the planning and the installation under the LINUX, Windows, and Mac OS X operating systems. We propose strategies for downloading existing and generating new sequence databases in BLAST format. © 2018 by John Wiley &amp; Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.54","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36448459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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