surfaltr
surfaltr is an R package to address the need for bioinformatic tools in rapidly benchmarking large numbers of isoforms identified from multiomic approaches, mainly focusing on cell surface proteins. These proteins constitute a significant portion of the druggable proteome and play a crucial role in tissue-specific delivery of therapeutics. Alternative splicing regulates surface protein isoforms, influencing subcellular localization and transmembrane topology and contributing to cell type-specific signatures.
The surfaltr package takes user-input isoforms, associates them with known principal isoforms of the gene, predicts transmembrane topologies, and generates customizable graphical outputs. Additionally, it prioritizes topologically diverse isoform pairs through three different ranking metrics and incorporates protein alignment functions.
Topic
RNA splicing;Protein structural motifs and surfaces;Proteomics;Cell biology;Membrane and lipoproteins
Detail
Operation: Alternative splicing prediction;Transmembrane protein visualisation;Transmembrane protein prediction
Software interface: Library
Language: R
License: The MIT
Cost: Free
Version name: 1.8.0
Credit: -
Input: -
Output: -
Contact: Pooja Gangras gangras_pooja@lilly.com
Collection: -
Maturity: Stable
Publications
- surfaltr: An R/Bioconductor package to benchmark surface protein isoforms by rapid prediction and visualization of transmembrane topologies.
- Gangras P and Merchant A. surfaltr: An R/Bioconductor package to benchmark surface protein isoforms by rapid prediction and visualization of transmembrane topologies. surfaltr: An R/Bioconductor package to benchmark surface protein isoforms by rapid prediction and visualization of transmembrane topologies. 2022; 22:e2200002. doi: 10.1002/pmic.202200002
- https://doi.org/10.1002/PMIC.202200002
- PMID: 35678367
- PMC: -
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/surfaltr_1.8.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/surfaltr/man/surfaltr.pdf
Home page: https://bioconductor.org/packages/surfaltr
Links: https://bioconductor.org/packages/release/bioc/vignettes/surfaltr/inst/doc/surfaltr_vignette.R
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