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      InteractomeSeq: a web server for the identification and profiling of domains and epitopes from phage display and next generation sequencing data

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          Abstract

          High-Throughput Sequencing technologies are transforming many research fields, including the analysis of phage display libraries. The phage display technology coupled with deep sequencing was introduced more than a decade ago and holds the potential to circumvent the traditional laborious picking and testing of individual phage rescued clones. However, from a bioinformatics point of view, the analysis of this kind of data was always performed by adapting tools designed for other purposes, thus not considering the noise background typical of the ‘interactome sequencing’ approach and the heterogeneity of the data. InteractomeSeq is a web server allowing data analysis of protein domains (‘domainome’) or epitopes (‘epitome’) from either Eukaryotic or Prokaryotic genomic phage libraries generated and selected by following an Interactome sequencing approach. InteractomeSeq allows users to upload raw sequencing data and to obtain an accurate characterization of domainome/epitome profiles after setting the parameters required to tune the analysis. The release of this tool is relevant for the scientific and clinical community, because InteractomeSeq will fill an existing gap in the field of large-scale biomarkers profiling, reverse vaccinology, and structural/functional studies, thus contributing essential information for gene annotation or antigen identification. InteractomeSeq is freely available at https://InteractomeSeq.ba.itb.cnr.it/

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          Most cited references36

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          JBrowse: a dynamic web platform for genome visualization and analysis

          Background JBrowse is a fast and full-featured genome browser built with JavaScript and HTML5. It is easily embedded into websites or apps but can also be served as a standalone web page. Results Overall improvements to speed and scalability are accompanied by specific enhancements that support complex interactive queries on large track sets. Analysis functions can readily be added using the plugin framework; most visual aspects of tracks can also be customized, along with clicks, mouseovers, menus, and popup boxes. JBrowse can also be used to browse local annotation files offline and to generate high-resolution figures for publication. Conclusions JBrowse is a mature web application suitable for genome visualization and analysis.
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            Large-scale mapping of human protein–protein interactions by mass spectrometry

            Mapping protein–protein interactions is an invaluable tool for understanding protein function. Here, we report the first large-scale study of protein–protein interactions in human cells using a mass spectrometry-based approach. The study maps protein interactions for 338 bait proteins that were selected based on known or suspected disease and functional associations. Large-scale immunoprecipitation of Flag-tagged versions of these proteins followed by LC-ESI-MS/MS analysis resulted in the identification of 24 540 potential protein interactions. False positives and redundant hits were filtered out using empirical criteria and a calculated interaction confidence score, producing a data set of 6463 interactions between 2235 distinct proteins. This data set was further cross-validated using previously published and predicted human protein interactions. In-depth mining of the data set shows that it represents a valuable source of novel protein–protein interactions with relevance to human diseases. In addition, via our preliminary analysis, we report many novel protein interactions and pathway associations.
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              DNASTAR's Lasergene sequence analysis software.

              Lasergene's eight modules provide tools that enable users to accomplish each step of sequence analysis, from trimming and assembly of sequence data, to gene discovery, annotation, gene product analysis, sequence similarity searches, sequence alignment, phylogenetic analysis, oligonucleotide primer design, cloning strategies, and publication of the results. The Lasergene software suite provides the functions and customization tools needed so that users can perform analyses the software writers never imagined.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                02 July 2020
                13 May 2020
                13 May 2020
                : 48
                : W1
                : W200-W207
                Affiliations
                Laboratory of Translational Immunology, Humanitas Clinical and Research Center , IRCCS, Rozzano (Milan), 20089, Italy
                Institute for Biomedical Technologies, National Research Council , Bari 70100, Italy
                Institute for Biomedical Technologies, National Research Council , Bari 70100, Italy
                Department of Health Sciences & Center for TranslationalResearch on Autoimmune and Allergic Disease (CAAD), Università del Piemonte Orientale , Novara 28100, Italy
                Department of Life Sciences, University of Trieste , Trieste 34100, Italy
                Department of Health Sciences & Center for TranslationalResearch on Autoimmune and Allergic Disease (CAAD), Università del Piemonte Orientale , Novara 28100, Italy
                Department of Health Sciences & Center for TranslationalResearch on Autoimmune and Allergic Disease (CAAD), Università del Piemonte Orientale , Novara 28100, Italy
                Institute for Biomedical Technologies, National Research Council , Bari 70100, Italy
                Institute for Biomedical Technologies, National Research Council , Segrate (Milan) 20090, Italy
                Laboratory of Translational Immunology, Humanitas Clinical and Research Center , IRCCS, Rozzano (Milan), 20089, Italy
                Humanitas Flow Cytometry Core, Humanitas Clinical and Research Center , IRCCS, Rozzano (Milan) 20089, Italy
                Institute of Genetic and Biomedical Research, UoS Milan, National Research Council , Rozzano (Milan) 20089, Italy
                Genomic Unit, Humanitas Clinical and Research Center , IRCCS,Rozzano (Milan) 20089, Italy
                Institute for Biomedical Technologies, National Research Council , Bari 70100, Italy
                Author notes
                To whom correspondence should be addressed. Tel: +39 080 5929664; Fax: +39 080 5929690; Email: flavio.licciulli@ 123456ba.itb.cnr.it
                Correspondence may also be addressed to Clelia Peano. Tel: +39 028 2245146; Email: clelia.peano@ 123456humanitasresearch.it

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Author information
                http://orcid.org/0000-0003-2714-4744
                http://orcid.org/0000-0002-1861-8947
                Article
                gkaa363
                10.1093/nar/gkaa363
                7319578
                32402076
                f006ef1d-24f7-48cd-9aaa-74f529f1daff
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 May 2020
                : 16 April 2020
                : 15 March 2020
                Page count
                Pages: 8
                Funding
                Funded by: Italian Ministry of Education and University;
                Award ID: 2010P3S8BR_002
                Funded by: National Research Council, DOI 10.13039/100008968;
                Categories
                AcademicSubjects/SCI00010
                Web Server Issue

                Genetics
                Genetics

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