G4Killer web application: a tool to design G-quadruplex mutations

Abstract Motivation G-quadruplexes (G4) are important regulatory non-B DNA structures with therapeutic potential. A tool for rational design of mutations leading to decreased propensity for G4 formation should be useful in studying G4 functions. Although tools exist for G4 prediction, no easily accessible tool for the rational design of G4 mutations has been available. Results We developed a web-based tool termed G4Killer that is based on the G4Hunter algorithm. This new tool is a platform-independent and user-friendly application to design mutations crippling G4 propensity in a parsimonious way (i.e., keeping the primary sequence as close as possible to the original one). The tool is integrated into our DNA analyzer server and allows for generating mutated DNA sequences having the desired lowered G4Hunter score with minimal mutation steps. Availability and implementation The G4Killer web tool can be accessed at: http://bioinformatics.ibp.cz. Supplementary information Supplementary data are available at Bioinformatics online.

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PathScore: a web tool for identifying altered pathways in cancer data

10.1101/067090 ◽

2016 ◽

Cited By ~ 2

Author(s):

Stephen G. Gaffney ◽

Jeffrey P. Townsend

Keyword(s):

Web Application ◽

Somatic Mutations ◽

Supplementary Information ◽

Web Tool ◽

Cancer Data ◽

Link Type ◽

Novel Approach ◽

Supplementary Material ◽

User Friendly ◽

Pathway Effect

ABSTRACTSummaryPathScore quantifies the level of enrichment of somatic mutations within curated pathways, applying a novel approach that identifies pathways enriched across patients. The application provides several user-friendly, interactive graphic interfaces for data exploration, including tools for comparing pathway effect sizes, significance, gene-set overlap and enrichment differences between projects.Availability and ImplementationWeb application available at pathscore.publichealth.yale.edu. Site implemented in Python and MySQL, with all major browsers supported. Source code available at github.com/sggaffney/pathscore with a GPLv3 [email protected] InformationAdditional documentation can be found at http://pathscore.publichealth.yale.edu/faq.

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G4Hunter web application: a web server for G-quadruplex prediction

Bioinformatics ◽

10.1093/bioinformatics/btz087 ◽

2019 ◽

Vol 35 (18) ◽

pp. 3493-3495 ◽

Cited By ~ 22

Author(s):

Václav Brázda ◽

Jan Kolomazník ◽

Jiří Lýsek ◽

Martin Bartas ◽

Miroslav Fojta ◽

...

Keyword(s):

Data Storage ◽

Web Application ◽

Data Representation ◽

Complete Characterization ◽

Supplementary Information ◽

Web Based ◽

Rna Molecules ◽

Dna And Rna ◽

Sorting Data ◽

User Friendly

Abstract Motivation Expanding research highlights the importance of guanine quadruplex structures. Therefore, easy-accessible tools for quadruplex analyses in DNA and RNA molecules are important for the scientific community. Results We developed a web version of the G4Hunter application. This new web-based server is a platform-independent and user-friendly application for quadruplex analyses. It allows retrieval of gene/nucleotide sequence entries from NCBI databases and provides complete characterization of localization and quadruplex propensity of quadruplex-forming sequences. The G4Hunter web application includes an interactive graphical data representation with many useful options including visualization, sorting, data storage and export. Availability and implementation G4Hunter web application can be accessed at: http://bioinformatics.ibp.cz. Supplementary information Supplementary data are available at Bioinformatics online.

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DNA Scanner: a web application for comparing DNA synthesis feasibility, price and turnaround time across vendors

Synthetic Biology ◽

10.1093/synbio/ysaa011 ◽

2020 ◽

Vol 5 (1) ◽

Cited By ~ 1

Author(s):

Gledon Doçi ◽

Lukas Fuchs ◽

Yash Kharbanda ◽

Paul Schickling ◽

Valentin Zulkower ◽

...

Keyword(s):

Dna Synthesis ◽

Dna Sequences ◽

Web Application ◽

Turnaround Time ◽

Design Tools ◽

Web Based ◽

Synthetic Dna ◽

Computer Aided ◽

User Friendly ◽

High Degree

Abstract DNA synthesis has become a major enabler of modern bioengineering, allowing scientists to simply order online in silico-designed DNA molecules. Rapidly decreasing DNA synthesis service prices and the concomitant increase of research and development scales bolstered by computer-aided DNA design tools and laboratory automation has driven up the demand for synthetic DNA. While vendors provide user-friendly online portals for purchasing synthetic DNA, customers still face the time-consuming task of checking each vendor of choice for their ability and pricing to synthesize the desired sequences. As a result, ordering large batches of DNA sequences can be a laborious manual procedure in an otherwise increasingly automatable workflow. Even when they are available, there is a high degree of technical knowledge and effort required to integrate vendors’ application programming interfaces (APIs) into computer-aided DNA design tools or automated lab processes. Here, we introduce DNA Scanner, a software package comprising (i) a web-based user interface enabling users to compare the feasibility, price and turnaround time of synthetic DNA sequences across selected vendors and (ii) a Python API enabling integration of these functionalities into computer-aided DNA design tools and automated lab processes. We have developed DNA Scanner to uniformly streamline interactions between synthetic DNA vendors, members of the Global Biofoundry Alliance and the scientific community at large.

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An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies

Journal of Diabetes Science and Technology ◽

10.1177/1932296820985570 ◽

2021 ◽

pp. 193229682098557

Author(s):

Alysha M. De Livera ◽

Jonathan E. Shaw ◽

Neale Cohen ◽

Anne Reutens ◽

Agus Salim

Keyword(s):

Continuous Glucose Monitoring ◽

Web Application ◽

Diabetes Management ◽

Glucose Monitoring ◽

Epidemiological Studies ◽

Interactive Software ◽

Web Based ◽

Software Applications ◽

Visualization Of Data ◽

User Friendly

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.

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Subtle structural alterations in G-quadruplex DNA regulate site specificity of fluorescence light-up probes

Nucleic Acids Research ◽

10.1093/nar/gkz1205 ◽

2020 ◽

Vol 48 (3) ◽

pp. 1108-1119 ◽

Cited By ~ 5

Author(s):

Rajendra Kumar ◽

Karam Chand ◽

Sudipta Bhowmik ◽

Rabindra Nath Das ◽

Snehasish Bhattacharjee ◽

...

Keyword(s):

Rational Design ◽

Dna Structure ◽

Biological Processes ◽

Chemical Research ◽

Quadruplex Dna ◽

Dna Structures ◽

Future Studies ◽

G4 Dna ◽

G Quadruplex ◽

Fluorescence Light

Abstract G-quadruplex (G4) DNA structures are linked to key biological processes and human diseases. Small molecules that target specific G4 DNA structures and signal their presence would therefore be of great value as chemical research tools with potential to further advance towards diagnostic and therapeutic developments. However, the development of these types of specific compounds remain as a great challenge. In here, we have developed a compound with ability to specifically signal a certain c-MYC G4 DNA structure through a fluorescence light-up mechanism. Despite the compound's two binding sites on the G4 DNA structure, only one of them result in the fluorescence light-up effect. This G-tetrad selectivity proved to originate from a difference in flexibility that affected the binding affinity and tilt the compound out of the planar conformation required for the fluorescence light-up mechanism. The intertwined relation between the presented factors is likely the reason for the lack of examples using rational design to develop compounds with turn-on emission that specifically target certain G4 DNA structures. However, this study shows that it is indeed possible to develop such compounds and present insights into the molecular details of specific G4 DNA recognition and signaling to advance future studies of G4 biology.

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CPVA: a web-based metabolomic tool for chromatographic peak visualization and annotation

Bioinformatics ◽

10.1093/bioinformatics/btaa200 ◽

2020 ◽

Vol 36 (12) ◽

pp. 3913-3915

Author(s):

Hemi Luan ◽

Xingen Jiang ◽

Fenfen Ji ◽

Zhangzhang Lan ◽

Zongwei Cai ◽

...

Keyword(s):

False Positive ◽

Supplementary Information ◽

Liquid Chromatography Mass Spectrometry ◽

Targeted Metabolomics ◽

Metabolomics Data ◽

Web Based ◽

Tremendous Amount ◽

Chromatographic Peaks ◽

User Friendly

Abstract Motivation Liquid chromatography–mass spectrometry-based non-targeted metabolomics is routinely performed to qualitatively and quantitatively analyze a tremendous amount of metabolite signals in complex biological samples. However, false-positive peaks in the datasets are commonly detected as metabolite signals by using many popular software, resulting in non-reliable measurement. Results To reduce false-positive calling, we developed an interactive web tool, termed CPVA, for visualization and accurate annotation of the detected peaks in non-targeted metabolomics data. We used a chromatogram-centric strategy to unfold the characteristics of chromatographic peaks through visualization of peak morphology metrics, with additional functions to annotate adducts, isotopes and contaminants. CPVA is a free, user-friendly tool to help users to identify peak background noises and contaminants, resulting in decrease of false-positive or redundant peak calling, thereby improving the data quality of non-targeted metabolomics studies. Availability and implementation The CPVA is freely available at http://cpva.eastus.cloudapp.azure.com. Source code and installation instructions are available on GitHub: https://github.com/13479776/cpva. Supplementary information Supplementary data are available at Bioinformatics online.

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An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

Prague Bulletin of Mathematical Linguistics ◽

10.2478/pralin-2014-0015 ◽

2014 ◽

Vol 102 (1) ◽

pp. 69-80 ◽

Cited By ~ 2

Author(s):

Torregrosa Daniel ◽

Forcada Mikel L. ◽

Pérez-Ortiz Juan Antonio

Keyword(s):

Open Source ◽

Machine Translation ◽

Web Application ◽

Statistical Machine Translation ◽

Black Box ◽

Translation System ◽

Web Tool ◽

Web Based ◽

Strongly Coupled ◽

Machine Translation System

Abstract We present a web-based open-source tool for interactive translation prediction (ITP) and describe its underlying architecture. ITP systems assist human translators by making context-based computer-generated suggestions as they type. Most of the ITP systems in literature are strongly coupled with a statistical machine translation system that is conveniently adapted to provide the suggestions. Our system, however, follows a resource-agnostic approach and suggestions are obtained from any unmodified black-box bilingual resource. This paper reviews our ITP method and describes the architecture of Forecat, a web tool, partly based on the recent technology of web components, that eases the use of our ITP approach in any web application requiring this kind of translation assistance. We also evaluate the performance of our method when using an unmodified Moses-based statistical machine translation system as the bilingual resource.

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pqsfinder web: G-quadruplex prediction using optimized pqsfinder algorithm

Bioinformatics ◽

10.1093/bioinformatics/btz928 ◽

2019 ◽

Vol 36 (8) ◽

pp. 2584-2586 ◽

Cited By ~ 1

Author(s):

Dominika Labudová ◽

Jiří Hon ◽

Matej Lexa

Keyword(s):

Sequence Analysis ◽

Recursive Algorithm ◽

Supplementary Information ◽

Potassium Ions ◽

Bioconductor Package ◽

G Quadruplex ◽

Weak Points ◽

User Friendly

Abstract Motivation G-quadruplex is a DNA or RNA form in which four guanine-rich regions are held together by base pairing between guanine nucleotides in coordination with potassium ions. G-quadruplexes are increasingly seen as a biologically important component of genomes. Their detection in vivo is problematic; however, sequencing and spectrometric techniques exist for their in vitro detection. We previously devised the pqsfinder algorithm for PQS identification, implemented it in C++ and published as an R/Bioconductor package. We looked for ways to optimize pqsfinder for faster and user-friendly sequence analysis. Results We identified two weak points where pqsfinder could be optimized. We modified the internals of the recursive algorithm to avoid matching and scoring many sub-optimal PQS conformations that are later discarded. To accommodate the needs of a broader range of users, we created a website for submission of sequence analysis jobs that does not require knowledge of R to use pqsfinder. Availability and implementation https://pqsfinder.fi.muni.cz, https://bioconductor.org/packages/pqsfinder. Supplementary information Supplementary data are available at Bioinformatics online.

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YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells

Bioinformatics ◽

10.1093/bioinformatics/btz402 ◽

2019 ◽

Vol 35 (21) ◽

pp. 4525-4527 ◽

Cited By ~ 10

Author(s):

Alex X Lu ◽

Taraneh Zarin ◽

Ian S Hsu ◽

Alan M Moses

Keyword(s):

Image Analysis ◽

Web Application ◽

Single Cells ◽

Yeast Cells ◽

Supplementary Information ◽

Supplementary Data ◽

User Friendly ◽

Microscopy Images

Abstract Summary We introduce YeastSpotter, a web application for the segmentation of yeast microscopy images into single cells. YeastSpotter is user-friendly and generalizable, reducing the computational expertise required for this critical preprocessing step in many image analysis pipelines. Availability and implementation YeastSpotter is available at http://yeastspotter.csb.utoronto.ca/. Code is available at https://github.com/alexxijielu/yeast_segmentation. Supplementary information Supplementary data are available at Bioinformatics online.

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DiscoRhythm: an easy-to-use web application and R package for discovering rhythmicity

Bioinformatics ◽

10.1093/bioinformatics/btz834 ◽

2019 ◽

Cited By ~ 2

Author(s):

Matthew Carlucci ◽

Algimantas Kriščiūnas ◽

Haohan Li ◽

Povilas Gibas ◽

Karolis Koncevičius ◽

...

Keyword(s):

Web Application ◽

Statistical Significance ◽

R Package ◽

Biological Data ◽

Supplementary Information ◽

Statistical Knowledge ◽

Health And Disease ◽

Phase Amplitude ◽

Almost All ◽

User Friendly

Abstract Motivation Biological rhythmicity is fundamental to almost all organisms on Earth and plays a key role in health and disease. Identification of oscillating signals could lead to novel biological insights, yet its investigation is impeded by the extensive computational and statistical knowledge required to perform such analysis. Results To address this issue, we present DiscoRhythm (Discovering Rhythmicity), a user-friendly application for characterizing rhythmicity in temporal biological data. DiscoRhythm is available as a web application or an R/Bioconductor package for estimating phase, amplitude, and statistical significance using four popular approaches to rhythm detection (Cosinor, JTK Cycle, ARSER, and Lomb-Scargle). We optimized these algorithms for speed, improving their execution times up to 30-fold to enable rapid analysis of -omic-scale datasets in real-time. Informative visualizations, interactive modules for quality control, dimensionality reduction, periodicity profiling, and incorporation of experimental replicates make DiscoRhythm a thorough toolkit for analyzing rhythmicity. Availability and Implementation The DiscoRhythm R package is available on Bioconductor (https://bioconductor.org/packages/DiscoRhythm), with source code available on GitHub (https://github.com/matthewcarlucci/DiscoRhythm) under a GPL-3 license. The web application is securely deployed over HTTPS (https://disco.camh.ca) and is freely available for use worldwide. Local instances of the DiscoRhythm web application can be created using the R package or by deploying the publicly available Docker container (https://hub.docker.com/r/mcarlucci/discorhythm). Supplementary information Supplementary data are available at Bioinformatics online.

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