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

March 2020 Cancer Immunol Res

Synopsis of Social media discussions

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.

A
Agreement
 Moderate agreement

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

I
Interest
 High level of interest

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

E
Engagement
 Moderate level of engagement

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

I
Impact
 Moderate level of impact

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

Social Mentions

YouTube

9 Videos

Twitter

36 Posts

News

3 Articles

Metrics

Video Views

792

Total Likes

78

Extended Reach

105,681

Social Features

48

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

pVACtools for Cancer Neoantigen Identification and Visualization

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, covering the workflow from tumor biopsy to vaccine design and visualization.

pvactools

August 28, 2024

210 views

Launching pVACview for Neoantigen Prioritization and Visualization

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 detailed genomic and peptide binding information.

pvactools

April 11, 2024

200 views

pVACview: Adaptive Tool for Neoantigen Prioritization in Cancer Vaccines

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, supporting informed decision-making for vaccine development.

pvactools

August 15, 2024

90 views

pVACview Tutorial: Uploading Data for Neoantigen Prioritization

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 binding predictions for informed vaccine design decisions.

pvactools

April 11, 2024

71 views

Exploring Neoantigen Variants with pVACview for Cancer Vaccines

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 assists in prioritizing neoantigens for personalized cancer vaccines.

pvactools

April 11, 2024

60 views

Visualization of NeoFox Data for Cancer Neoantigen Selection

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 information to support clinical decision-making.

pvactools

April 11, 2024

48 views

pVACview Custom Module for Neoantigen Data Visualization and Prioritization

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 neoantigen candidates for personalized cancer vaccines. It enables visualization of neoantigen candidates wi

pvactools

April 11, 2024

48 views

Exploring Transcript and Peptide Data with pVACview for Neoantigen Analysis

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 personalized cancer vaccine development.

pvactools

April 11, 2024

39 views

pVACview Advanced Options and Exporting for Neoantigen Prioritization

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 development by visualizing neoantigen candidates with detailed genomic and immunological data.

pvactools

April 11, 2024

27 views

  • Yusuke Okuma
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    RT @CIR_AACR: Read Dr. @malachigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed
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  • Yusuke Okuma
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    RT @CIR_AACR: Read Dr. @obigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed
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    December 21, 2022

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  • Cancer Immunology Research
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    Read Dr. @obigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed https://t.co/eAOh6TofZK
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    December 7, 2022

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  • Cancer Immunology Research
    @CIR_AACR (Twitter)

    Read Dr. @malachigriffith's most cited research article, published in 2020. https://t.co/kN0I1pcoCk @WUSTLmed https://t.co/5v5KLppDRH
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    December 2, 2022

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  • bioRxiv Published
    @biorxiv_pubd (Twitter)

    pVACtools: a computational toolkit to identify and visualize cancer neoantigens published as: https://t.co/NZ7mGGHRoS #Cancer_Immunology_Research #biorxiv
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    June 1, 2022

  • Ken Chen
    @kchenken (Twitter)

    RT @malachigriffith: Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools…
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    February 8, 2021

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  • David Russler-Germain, MD/PhD
    @dgermain21 (Twitter)

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

    February 8, 2021

    12

  • Nick Borcherding
    @theHumanBorch (Twitter)

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

    February 8, 2021

    12

  • Canada’s Michael Smith Genome Sciences Centre
    @GSCofBC (Twitter)

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

    February 8, 2021

    12

  • geo
    @geovcnt (Twitter)

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

    February 8, 2021

    12

  • Alex H. Wagner
    @HandlerWagner (Twitter)

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

    February 8, 2021

    12

  • Obi Griffith, PhD
    @obigriffith (Twitter)

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

    February 8, 2021

    12

  • Connor Liu
    @theconnorliu (Twitter)

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

    February 8, 2021

    12

  • Jasreet Hundal, PhD
    @jazzreet (Twitter)

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

    February 8, 2021

    12

  • Malachi Griffith
    @malachigriffith (Twitter)

    Very excited to announce the release of pVACtools 2.0 (https://t.co/p9wDcRN9GG). A major update to our suite of tools for neoantigen characterization. Big congrats to the whole team (https://t.co/8ulPZKL1lr), but especially @SusannaKiwala!
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    February 8, 2021

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  • Piotr Okupski
    @PiotrOkupski (Twitter)

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

    March 5, 2020

    6

  • SDCPI
    @PrecisionImmuno (Twitter)

    RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz
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    March 4, 2020

    6

  • OncoAlert
    @OncoAlert (Twitter)

    RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz
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    March 4, 2020

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  • Ene
    @ene3112 (Twitter)

    RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz
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    March 4, 2020

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  • Martín Angel
    @Martin_AngelMD (Twitter)

    RT @AndresFCardonaZ: pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens https://t.co/UTtZWaKHmz
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    March 4, 2020

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  • Arturo LoAIza-Bonilla, MD MSEd
    @DrBonillaOnc (Twitter)

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

    March 3, 2020

    6

  • Arturo LoAIza-Bonilla, MD MSEd
    @DrArturoAI (Twitter)

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

    March 3, 2020

    6

  • Andres F. Cardona
    @AndresFCardonaZ (Twitter)

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

    March 3, 2020

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  • Hubert Hackl
    @hubert_hackl (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 12, 2020

    12

  • CIViCdb
    @CIViCdb (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 11, 2020

    12

  • SeqNextGen
    @SeqNextGen (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Katie Campbell
    @CampKatiee (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Duane Hassane
    @DrDuaneHassane (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Kelsy Cotto
    @kelsy_cotto (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Malachi Griffith
    @malachigriffith (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Yaron Einhorn
    @yaronoox (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Chris Miller
    @chrisamiller (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • David Russler-Germain, MD/PhD
    @dgermain21 (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Jasreet Hundal, PhD
    @jazzreet (Twitter)

    RT @obigriffith: The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has…
    view full post

    January 9, 2020

    12

  • Obi Griffith, PhD
    @obigriffith (Twitter)

    The updated pVACtools (https://t.co/vCURXDZCY5), a computational toolkit to identify and visualize cancer neoantigens, has finally been published. Congrats @jazzreet @SusannaKiwala @malachigriffith @AACRPres @chrisamiller et al! https://t.co/johswKHY9u https://t.co/scWaNUsfUf
    view full post

    January 9, 2020

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  • Yaron Einhorn
    @yaronoox (Twitter)

    pVACtools: a computational toolkit to identify and visualize cancer neoantigens | bioRxiv https://t.co/gObp3HnrKz
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    May 31, 2019

Abstract Synopsis

  • 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.]