scholarly journals DrawAlignR: An interactive tool for across run chromatogram alignment visualization

2020 ◽  
Author(s):  
Shubham Gupta ◽  
Justin Sing ◽  
Arshia Mahmoodi ◽  
Hannes Röst
Keyword(s):  
Open Source ◽  
Web Application ◽  
Source Code ◽  
Link Type ◽  
Interactive Tool ◽  
Cumulative Score ◽  
Alignment Algorithms ◽  
R Shiny ◽  
Software Platforms

AbstractMulti-run alignment is widely used in proteomics to establish analyte correspondence across runs. Generally alignment algorithms return a cumulative score, which may not be easily interpretable for each peptide. Here we present a novel tool, DrawAlignR, to visualize each chromatographic alignment for DIA/SWATH data. Furthermore, we have developed a novel C++ based implementation of raw chromatogram alignment which is 35 times faster than the previously published algorithm. This not only enables users to plot alignment interactively by DrawAlignR, but also allows other software platforms to use the algorithm. DrawAlignR is an open-source web application using R Shiny that can be hosted using the source-code available at https://github.com/Roestlab/DrawAlignR.

scholarly journals Matchathon: A guide to student-faculty connections in PhD programs

2020 ◽  
Author(s):  
Haley Amemiya ◽  
Zena Lapp ◽  
Cathy Smith ◽  
Margaret Durdan ◽  
Michelle DiMondo ◽  
...  
Keyword(s):  
Open Source ◽  
Source Code ◽  
Faculty Members ◽  
Retention Rates ◽  
Link Type ◽  
Shiny App ◽  
R Shiny ◽  
Web App ◽  
Phd Programs ◽  
The Web

AbstractRelevant and impactful mentors are essential to a graduate student’s career. Finding mentors can be challenging in umbrella programs with hundreds of faculty members. To foster connections between potential mentors and students with similar research interests, we created a Matchathon event, which has successfully enabled students to find mentors. We developed an easy-to-use R Shiny app (https://github.com/UM-OGPS/matchathon/) to facilitate matching and organizing the event that can be used at any institution. It is our hope that this resource will improve the environment and retention rates for students in the academy.The open source app is publicly available on the web (app: https://UM-OGPS.shinyapps.io/matchathon/; source code: https://github.com/UM-OGPS/matchathon/).

scholarly journals QGIS WEB CLIENT 2 – NEW TECHNOLOGY FOR WEB GEODATA PUBLISHING

2021 ◽  
Vol 2 (6) ◽  
pp. 28-31
Author(s):  
G.I. Morgunov ◽  
◽  
, A.V. Orlovsky
Keyword(s):  
Open Source ◽  
Web Application ◽  
New Technology ◽  
Source Code ◽  
Free Access ◽  
Space Images ◽  
Map Comparison ◽  
Technical Requirements ◽  
Cross Platform ◽  
Free Modules

This paper focuses on Quantum GIS (QGIS), an open-source cross-platform application that allows to visualize geospatial data in various formats. The paper indicated the main advantages of QGIS web application (second version) – QGIS Web Client 2: free distribution; free access to open-source code, which allows to write or modify a script or program module; permission to modify the source code; the ability to install the program on various operating systems (Windows, Mac OS, Ubuntu, etc.); a large library of free modules for working with geodata; the ability to publish maps on the web using Mapserver and other analogs; the ability to download space images from different sources (Yandex, Google, Bing Aerial, etc.); the ability to post data and publish projects on the Internet using the QGIS Cloud plugin. The technical requirements for the design of the QWC2 web application are presented; instructions for installing and QWC2 configuration on the available infrastructure are also given. The testing and the functionality of QWC2 application were presented on practical examples (area / length / coordinate measurements; thumbnail / redline functionality; generation of permalinks; PDF printing; ability to export maps in different images; import WMS/WFS; map comparison).

scholarly journals metaCOVID: An R-Shiny application for living meta-analyses of COVID-19 trials

2021 ◽  
Author(s):  
Theodoros Evrenoglou ◽  
Isabelle Boutron ◽  
Anna Chaimani
Keyword(s):  
Evidence Synthesis ◽  
Source Code ◽  
Decision Makers ◽  
Sensitivity Analyses ◽  
Preventive Interventions ◽  
Primary Interest ◽  
Link Type ◽  
R Shiny ◽  
Meta Analyses ◽  
Shiny Application

Abstract“Living” evidence synthesis is of primary interest for decision-makers to overcome the COVID-19 pandemic. The COVID-NMA provides open-access living meta-analyses assessing different therapeutic and preventive interventions. Data are posted on a platform (https://covid-nma.com/) and analyses are updated every week. However, guideline developers and other stakeholders also need to investigate the data and perform their own analyses. This requires resources, time, statistical expertise, and software knowledge. To assist them, we created the “metaCOVID” application which, based on automation processes, facilitates the fast exploration of the data and the conduct of analyses tailored to end-users needs. metaCOVID has been created in R and is freely available as an R-Shiny application. The application conducts living meta-analyses for every outcome. Several options are available for subgroup and sensitivity analyses. The results are presented in downloadable forest plots. metaCOVID is freely available from https://covid-nma.com/metacovid/ and the source code from https://github.com/TEvrenoglou/metaCovid.

scholarly journals Covidex: an ultrafast and accurate tool for virus subtyping

2020 ◽  
Author(s):  
Marco Cacciabue ◽  
Pablo Aguilera ◽  
María Inés Gismondi ◽  
Oscar Taboga
Keyword(s):  
Open Source ◽  
Web Application ◽  
Classification Models ◽  
Genome Sequences ◽  
Link Type ◽  
Shiny App ◽  
Cross Platform ◽  
Model Generator ◽  
Free Machine ◽  
Subtyping Tool

SummaryCovidex is an open-source, alignment-free machine learning subtyping tool for viral species. It is a shiny app that allows a fast and accurate classification in pre-defined clusters for SARS-CoV-2 and FMDV genome sequences. The user can also build its own classification models with the Covidex model generator.AvailabilityCovidex is open-source, cross-platform compatible, and is available under the terms of the GNU General Public License v3 (http://www.gnu.org/licenses/gpl.txt). Covidex is available via SourceForge https://sourceforge.net/projects/covidex or the web application https://cacciabue.shinyapps.io/shiny2/[email protected]; [email protected]

scholarly journals MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps

2015 ◽  
Author(s):  
Bohdan B. Khomtchouk ◽  
James R. Hennessy ◽  
Claes Wahlestedt
Keyword(s):  
Web Application ◽  
Differential Expression Analysis ◽  
Dynamic Network ◽  
Principal Component ◽  
Rna Seq ◽  
Software Suite ◽  
Software Analysis ◽  
Link Type ◽  
R Shiny ◽  
User Friendly

AbstractWe propose a user-friendly ChIP-seq and RNA-seq software suite for the interactive visualization and analysis of genomic data, including integrated features to support differential expression analysis, interactive heatmap production, principal component analysis, gene ontology analysis, and dynamic network analysis.MicroScope is hosted online as an R Shiny web application based on the D3 JavaScript library: http://microscopebioinformatics.org/. The methods are implemented in R, and are available as part of the MicroScope project at: https://github.com/Bohdan-Khomtchouk/Microscope.

scholarly journals assayM: a web application to monitor mutations in COVID-19 diagnostic assays

2020 ◽  
Author(s):  
Raeece Naeem ◽  
Arnab Pain
Keyword(s):  
Web Application ◽  
Pcr Primers ◽  
World Health Organisation ◽  
Virus Genome ◽  
World Health ◽  
Rt Pcr ◽  
Diagnostic Assays ◽  
Link Type ◽  
Specificity And Sensitivity ◽  
R Shiny

AbstractSummaryReverse Transcriptase – Polymerase Chain Reaction (RT-PCR) is the gold standard as diagnostic assays for the detection of COVID-19 and the specificity and sensitivity of these assays depend on the complementarity of the RT-PCR primers to the genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the virus mutates over time during replication cycles, there is an urgent need to continuously monitor the virus genome for appearances of mutations and mismatches in the PCR primers used in these assays. Here we present assayM, a web application to explore and monitor mutations introduced in the primer and probe sequences published by the World Health Organisation (WHO) or in any custom-designed assay primers for SARS-CoV-2 detection assays in globally available SARS-CoV-2 genome datasets.Availability and implementationassayM is available on https://grafnet.kaust.edu.sa/assayM as a web application and also as an open-source R shiny application, downloadable from https://github.com/raeece/[email protected]

scholarly journals Knowledge.Bio: A Web Application for Exploring, Building and Sharing Webs of Biomedical Relationships Mined from PubMed

2016 ◽  
Author(s):  
Richard Bruskiewich ◽  
Kenneth Huellas-Bruskiewicz ◽  
Farzin Ahmed ◽  
Rajaram Kaliyaperumal ◽  
Mark Thompson ◽  
...  
Keyword(s):  
User Interface ◽  
Text Mining ◽  
Graphical User Interface ◽  
Biomedical Research ◽  
Web Application ◽  
Source Code ◽  
Research Literature ◽  
Knowledge Networks ◽  
Link Type ◽  
Web Platform

AbstractKnowledge.Bio is a web platform that enhances access and interpretation of knowledge networks extracted from biomedical research literature. The interaction is mediated through a collaborative graphical user interface for building and evaluating maps of concepts and their relationships, alongside associated evidence. In the first release of this platform, conceptual relations are drawn from the Semantic Medline Database and the Implicitome, two compleme ntary resources derived from text mining of PubMed abstracts.Availability— Knowledge.Bio is hosted at http://knowledge.bio/ and the open source code is available at http://bitbucket.org/sulab/kb1/.Contact— [email protected]; [email protected]

scholarly journals CoralP: Flexible visualization of the human phosphatome

2019 ◽  
Author(s):  
Amit Min ◽  
Erika Deoudes ◽  
Marielle L. Bond ◽  
Eric S. Davis ◽  
Douglas H. Phanstiel
Keyword(s):  
Web Application ◽  
Protein Phosphatases ◽  
Source Code ◽  
Protein Family ◽  
Biological Processes ◽  
Important Class ◽  
Pharmaceutical Development ◽  
Link Type ◽  
Phosphoryl Groups ◽  
Publication Quality

Protein phosphatases and kinases play critical roles in a host of biological processes and diseases via the removal and addition of phosphoryl groups. While kinases have been extensively studied for decades, recent findings regarding the specificity and activities of phosphatases have generated an increased interest in targeting phosphatases for pharmaceutical development. This increased focus has created a need for methods to visualize this important class of proteins within the context of the entire phosphatase protein family. Here, we present CoralP, an interactive web application for the generation of customizable, publication-quality representations of human phosphatome data. Phosphatase attributes can be encoded through edge colors, node colors, and node sizes. CoralP is the first and currently the only tool designed for phosphatome visualization and should be of great use to the signaling community. The source code and web application are available at https://github.com/PhanstielLab/coralp and http://phanstiel-lab.med.unc.edu/coralp respectively.

scholarly journals Pairs and Pairix: a file format and a tool for efficient storage and retrieval for Hi-C read pairs

2021 ◽  
Author(s):  
Soohyun Lee ◽  
Carl Vitzthum ◽  
Burak H. Alver ◽  
Peter J. Park
Keyword(s):  
Quality Control ◽  
Open Source ◽  
Source Code ◽  
Three Dimensional ◽  
File Format ◽  
Interaction Data ◽  
Text File ◽  
Storage And Retrieval ◽  
Link Type ◽  
Efficient Storage

AbstractSummaryAs the amount of three-dimensional chromosomal interaction data continues to increase, storing and accessing such data efficiently becomes paramount. We introduce Pairs, a block-compressed text file format for storing paired genomic coordinates from Hi-C data, and Pairix, an open-source C application to index and query Pairs files. Pairix (also available in Python and R) extends the functionalities of Tabix to paired coordinates data. We have also developed PairsQC, a collapsible HTML quality control report generator for Pairs files.AvailabilityThe format specification and source code are available at https://github.com/4dn-dcic/pairix, https://github.com/4dn-dcic/Rpairix and https://github.com/4dn-dcic/[email protected] or [email protected]

scholarly journals CLINE: a web-tool for the comparison of biological dendrogram structures

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Rodolfo S. Allendes Osorio ◽  
Lokesh P. Tripathi ◽  
Kenji Mizuguchi
Keyword(s):  
User Interface ◽  
Open Access ◽  
Special Interest ◽  
Web Application ◽  
Source Code ◽  
Visualization Tool ◽  
Web Tool ◽  
Link Type ◽  
Multiple Structures ◽  
Biological Interpretation

Abstract Background When visually comparing the results of hierarchical clustering, the differences in the arrangements of components are of special interest. However, in a biological setting, identifying such differences becomes less straightforward, as the changes in the dendrogram structure caused by permuting biological replicates, do not necessarily imply a different biological interpretation. Here, we introduce a visualization tool to help identify biologically similar topologies across different clustering results, even in the presence of replicates. Results Here we introduce CLINE, an open-access web application that allows users to visualize and compare multiple dendrogram structures, by visually displaying the links between areas of similarity across multiple structures. Through the use of a single page and a simple user interface, the user is able to load and remove structures form the visualization, change some aspects of their display and set the parameters used to match cluster topology across consecutive pairs of dendrograms. Conclusions We have implemented a web-tool that allows the users to visualize different dendrogram structures, showing not only the structures themselves, but also linking areas of similarity across multiple structures. The software is freely available at http://mizuguchilab.org/tools/cline/. Also, the source code, documentation and installation instructions are available on GitHub at https://github.com/RodolfoAllendes/cline/.

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