Lexicon-Mono-Seq, DOM Text Based Async MSA Viewer

Tanyalçin, Ibrahim

doi:10.21105/joss.01407

Cited by 1 publication

(1 citation statement)

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“…In other cases it is made available as an independent JavaScript library and can be reused by other web resources. Reusable web libraries include the MSAViewer (Yachdav et al, 2016), the NextProt sequence viewer (Zahn-Zabal et al, 2020) and LexiconMonoSeq (Tanyalcin, 2019). They are not simple static viewers but can modify the view dynamically, based on a number of available commands.…”

Section: Introductionmentioning

confidence: 99%

ProSeqViewer: an interactive, responsive and efficient TypeScript library for visualization of sequences and alignments in web applications

et al. 2021

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Summary Biological data is ever-increasing in amount and complexity. The mapping of this data to biological entities such as nucleotide and amino acid sequences supports biological data analysis, classification and prediction. Sequence alignments and comparison allow the transfer of knowledge to evolutionary related entities, the mapping of functional domains, the identification of binding and modification sites. To support these types of studies we developed ProSeqViewer, a tool to visualize annotation on single sequences and multiple sequence alignments. This state-of-the-art multifunctional library was developed as a modular component to be integrated into static or dynamic web resources and support intuitive visualization of sequence features. ProseSeqViewer is extremely lightweight, fast, interactive, dynamic, responsive and works at any screen size. It generates pure HTML which is compatible with any browser and operating system. ProSeqViewer can exchange events with other visualization components and is already used by multiple biological databases. Availability and implementation ProSeqViewer is an open-source TypeScript library compatible with state-of-the-art website environments. The source code and an extensive documentation including use cases are available from the URL: https://github.com/BioComputingUP/ProSeqViewer.

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Section: Introductionmentioning

confidence: 99%