Cancer Immunol Res March 2020 PMID 31907209

pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

Jasreet Hundal, Susanna Kiwala, Joshua McMichael, Christopher A Miller, Huiming Xia, Alexander T Wollam, Connor J Liu, Sidi Zhao, Yang-Yang Feng, Aaron P Graubert, Amber Z Wollam, Jonas Neichin, Megan Neveau, Jason Walker, William E Gillanders

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Mentions

Peak: 12 in Jan 2020

across 3 sources since May 2019

Extended reach

105,681

potential audience

Total likes

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792

Mentions per month

May 2019 – Aug 2024

Where it's discussed

X / Twitter36 posts
YouTube9 videos
News3 articles

AI synopsis

What people are saying

Several discussions emphasize the importance of the publication, with phrases like 'major update,' 'excited to announce,' and 'congrats to the team,' which reflect enthusiasm and recognition of its significance. The use of words such as 'visualize,' 'characterization,' and references to scientific updates demonstrate a genuine interest and engagement with the research's technical aspects and potential impact.

AgreementModerate agreement

Most discussions express strong support and praise for the pVACtools publication, highlighting its significance and updates.

InterestHigh interest

The tone shows high interest, with multiple mentions of excitement, updates, and citations, indicating engagement with the research.

EngagementModerate engagement

Posts include references to the tool's features, updates, and broader implications, suggesting a moderate level of meaningful engagement.

ImpactModerate impact

The frequent praise and recognition of the article's importance imply that it has a notable influence within the cancer immunology field.

Abstract in brief

pVACtools is a comprehensive computational toolkit designed to identify, prioritize, and visualize cancer neoantigens by integrating genomics, proteomics, and immunology data, aiding in personalized cancer vaccine development and response prediction to therapies.
It supports detecting neoantigens from various genetic alterations like point mutations, insertions, deletions, and gene fusions, and predicts peptide-MHC binding using multiple algorithms, allowing customization and expansion.
The platform features a user-friendly web interface and modular workflows for neoantigen prediction, ranking, and vaccine design, including options for DNA vector and synthetic long peptide vaccines, streamlining the process from mutation detection to candidate selection.]

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All mentions

pVACtools for Cancer Neoantigen Identification and Visualization

pVACtools is a comprehensive suite designed to identify and select neoantigens, unique proteins found only in cancer cells. This video introduces you to tools that are transforming personalized cancer treatment…

pvactools · Aug 28, 2024 210 views

Launching pVACview for Neoantigen Prioritization and Visualization

This video demonstrates how to launch pVACview from the terminal and RStudio. pVACview is an R shiny-based tool designed to help prioritize and visualize neoantigen candidates for personalized cancer vaccines, providing…

pvactools · Apr 11, 2024 200 views

pVACview: Adaptive Tool for Neoantigen Prioritization in Cancer Vaccines

This video provides an introduction to pVACview, an R shiny-based tool designed to aid in prioritizing neoantigen candidates for personalized cancer vaccines. It visualizes genomic variants and predicts peptide binding…

pvactools · Aug 15, 2024 90 views

pVACview Tutorial: Uploading Data for Neoantigen Prioritization

This video demonstrates how to upload data to pVACview, a tool aiding in neoantigen candidate prioritization for personalized cancer vaccines. It enables visualization of genomic variants, transcripts, and peptide…

pvactools · Apr 11, 2024 71 views

Exploring Neoantigen Variants with pVACview for Cancer Vaccines

This video demonstrates how to explore variant information for neoantigen candidates using the aggregate report table and variant section, including transcript matches and additional data for class II peptides. pVACview…

pvactools · Apr 11, 2024 60 views

Visualization of NeoFox Data for Cancer Neoantigen Selection

This video discusses pVACviews NeoFox module, a tool designed for visualizing NeoFox data to aid in neoantigen prioritization for personalized cancer vaccines. It includes detailed genomic variant and peptide binding…

pvactools · Apr 11, 2024 48 views

pVACview Custom Module for Neoantigen Data Visualization and Prioritization

This video discusses pVACviews custom module which allows users to do basic visualization for any neoantigen data. pVACview is an R shiny-based tool designed to aid specifically in the prioritization and selection of…

pvactools · Apr 11, 2024 48 views

Exploring Transcript and Peptide Data with pVACview for Neoantigen Analysis

This video demonstrates how to explore transcript and peptide set information for neoantigen candidates using pVACview, including visualization of peptide data, binding algorithms, and anchor heatmaps, aiding in…

pvactools · Apr 11, 2024 39 views

pVACview Advanced Options and Exporting for Neoantigen Prioritization

This video discusses advanced options for updating candidate tiering in pVACview and demonstrates how to export evaluated candidates and comments. pVACview is a Shiny-based tool supporting personalized cancer vaccine…

pvactools · Apr 11, 2024 27 views

Yusuke Okuma

@YOkuma_NCCH · X

RT @CIR_AACR: Read Dr. @malachigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed

Dec 21, 2022 · 1 share · 110 followers View post →

Yusuke Okuma

@YOkuma_NCCH · X

RT @CIR_AACR: Read Dr. @obigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed

Dec 21, 2022 · 1 share · 110 followers View post →

Cancer Immunology Research

@CIR_AACR · X

Read Dr. @obigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed https://t.co/eAOh6TofZK

Dec 7, 2022 · 2 likes · 1 share · 4,435 followers View post →

Cancer Immunology Research

@CIR_AACR · X

Read Dr. @malachigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed https://t.co/5v5KLppDRH

Dec 2, 2022 · 1 share · 4,435 followers View post →

bioRxiv Published

@biorxiv_pubd · X

pVACtools: a computational toolkit to identify and visualize cancer neoantigens published as: https://t.co/NZ7mGGHRoS #Cancer_Immunology_Research #biorxiv

Jun 1, 2022 · 2,904 followers View post →

Ken Chen

@kchenken · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 1,106 followers View post →

David Russler-Germain, MD/PhD

@dgermain21 · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 3,659 followers View post →

Nick Borcherding

@theHumanBorch · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 2,907 followers View post →

Canada’s Michael Smith Genome Sciences Centre

@GSCofBC · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 1,557 followers View post →

geo

@geovcnt · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 234 followers View post →

Alex H. Wagner

@HandlerWagner · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 476 followers View post →

Obi Griffith, PhD

@obigriffith · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 2,164 followers View post →

Connor Liu

@theconnorliu · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 447 followers View post →

Jasreet Hundal, PhD

@jazzreet · X

RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…

Feb 8, 2021 · 12 shares · 246 followers View post →

Malachi Griffith

@malachigriffith · X

Feb 8, 2021 · 42 likes · 12 shares · 2,462 followers View post →

Piotr Okupski

@PiotrOkupski · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 5, 2020 · 6 shares · 399 followers View post →

SDCPI

@PrecisionImmuno · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 4, 2020 · 6 shares · 279 followers View post →

OncoAlert

@OncoAlert · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 4, 2020 · 6 shares · 39,808 followers View post →

Ene

@ene3112 · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 4, 2020 · 6 shares · 2,119 followers View post →

Martín Angel

@Martin_AngelMD · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 4, 2020 · 6 shares · 2,452 followers View post →

Arturo LoAIza-Bonilla, MD MSEd

@DrBonillaOnc · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 3, 2020 · 6 shares · 5,353 followers View post →

Arturo LoAIza-Bonilla, MD MSEd

@DrArturoAI · X

RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 3, 2020 · 6 shares · 5,389 followers View post →

Andres F. Cardona

@AndresFCardonaZ · X

pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz

Mar 3, 2020 · 8 likes · 6 shares · 8,810 followers View post →

Hubert Hackl

@hubert_hackl · X