June 2016 PMID 27323842

Mash: fast genome and metagenome distance estimation using MinHash.

Brian D Ondov, Todd J Treangen, Páll Melsted, Adam B Mallonee, Nicholas H Bergman, Sergey Koren, Adam M Phillippy

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Mentions

Peak: 2 in Dec 2019

across 5 sources since Dec 2019

Extended reach

3,697

potential audience

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3,536

Mentions per month

Dec 2019 – Mar 2020

Where it's discussed

News9 articles
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AI synopsis

What people are saying

The discussions reflect a generally positive reception, with specific praise for the publication's utility and clarity, such as 'thumbs up for the video about dashing, clear and educational'. The tone emphasizes appreciation and potential, indicating a modest but meaningful interest in adopting these methods for genomic analysis.

AgreementModerate agreement

Most discussions convey approval of the publication, highlighting its usefulness and efficiency, though some remain neutral or cautious.

InterestModerate interest

There is a moderate interest in the topic, with expressions of appreciation for its educational value and potential applications.

EngagementModerate engagement

Participants show some level of engagement by commenting on features like speed and clarity, indicating they are considering its practical use.

ImpactModerate impact

The discussions suggest the publication could influence future research and methods in genomics, though the tone remains mostly observational rather than assertively impactful.

Abstract in brief

Mash extends the MinHash technique to include mutation distance and significance testing, making it easier to analyze large genome and metagenome datasets efficiently.
It works by creating small representative sketches of large sequences, allowing rapid estimation of global mutation distances for tasks like clustering and searching huge collections of genetic sequences.
The tool has been successfully used for clustering tens of thousands of genomes, real-time database searches, and analyzing numerous metagenomic samples, and is available for free under an open license.]

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All mentions

Dashing: Accurate Genomic Distance Estimation with HyperLogLog

This study introduces Dashing, a tool for rapid and precise genomic distance estimation using HyperLogLog. It builds on sketching techniques like MinHash, enabling efficient analysis of large genome and metagenome…

Ben Langmead · Dec 3, 2019 3,455 views

Understanding Probabilistic Data Structures for Analyzing UFO Sightings and Genomic Data

This video recaps a Python Users Group meeting where probabilistic data structures like Bloom filters were used to analyze UFO sightings. It also discusses the Mash tool for fast genome and metagenome distance…

Damien Calloway · Mar 31, 2020 81 views

Chen Sun

@ChenSunX · X

thumbs up for the video about dashing, clear and educational https://t.co/jbZMh0WqGJ https://t.co/xLKmqrZyps

Dec 16, 2019 · 5 likes · 162 followers View post →