ASAP、Species delimitation(種の区分けを配列ベースで提案する)の手法にまたひとつ新しいものが出てきた。非常に高速でユーザーフレンドリーらしい。今度使ってみよう。 https://t.co/nV0LUkFEoZ
ASAP: assemble species by automatic partitioning.
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Nov 2020 – May 2024Where it's discussed
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X / Twitter5 posts
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YouTube2 videos
AI synopsis
What people are saying
The overall tone is cautiously optimistic, with references to the new hierarchical clustering method and its efficiency, such as 'improves taxonomic analyses' and 'potential as a valuable tool,' indicating recognition of its significance without full endorsement or criticism. The words used are neutral yet informative, emphasizing the method's utility and efficiency, which shapes the moderate scores.
Most discussions are positive, recognizing the method as a valuable tool for taxonomists, with some hesitation about its novelty compared to existing techniques.
Participants show moderate interest, mentioning new methods and improvements but not expressing intense curiosity or enthusiasm.
Comments include references to methodological details and potential applications, indicating active but not deeply detailed engagement.
Posts suggest that the publication could influence taxonomy research, but the discussions do not portray a transformative shift, reflecting moderate perceived impact.
Abstract in brief
- ASAP (Assemble Species by Automatic Partitioning) is a new method for creating species partitions from single locus sequence alignments, efficiently processing large data sets (up to 10 sequences) in just a few minutes.
- The method relies on a hierarchical clustering algorithm that focuses on pairwise genetic distances and introduces a novel scoring system for ranking species partitions without needing prior biological insights.
- ASAP can be utilized via a user-friendly web interface or downloaded for local use, and has been tested against other programs, showing its potential as a valuable tool for taxonomists in the early stages of integrative taxonomy.
Top posts
Most liked on X and Bluesky[5/14] Certains de ces travaux contribuent à améliorer les études en taxonomie intégrative en proposant de nouvelles méthodes d’analyse de jeux de données toujours plus importants, … https://t.co/Hultx1GsBU https://t.co/4na0y2FfWQ
ASAP: assemble species by automatic partitioning https://t.co/U1AUFZhmK6
RT @trifa3: ASAP、Species delimitation(種の区分けを配列ベースで提案する)の手法にまたひとつ新しいものが出てきた。非常に高速でユーザーフレンドリーらしい。今度使ってみよう。 https://t.co/nV0LUkFEoZ
All mentions
Efficient Species Partitioning Using iTaxoTools and ASAP Algorithm
This tutorial introduces iTaxoTools' version of ASAP, a method for constructing species partitions from single locus sequence alignments. ASAP rapidly splits large datasets into putative species using a hierarchical…
Using ASAP Web Server for Automatic Species Identification
This tutorial explains how to use the ASAP web server for detecting species from DNA sequences based on genetic distances and phylogeny, facilitating efficient taxonomic analysis. Based on a method by Puillandre et al…
RT @trifa3: ASAP、Species delimitation(種の区分けを配列ベースで提案する)の手法にまたひとつ新しいものが出てきた。非常に高速でユーザーフレンドリーらしい。今度使ってみよう。 https://t.co/nV0LUkFEoZ
RT @trifa3: ASAP、Species delimitation(種の区分けを配列ベースで提案する)の手法にまたひとつ新しいものが出てきた。非常に高速でユーザーフレンドリーらしい。今度使ってみよう。 https://t.co/nV0LUkFEoZ
ASAP、Species delimitation(種の区分けを配列ベースで提案する)の手法にまたひとつ新しいものが出てきた。非常に高速でユーザーフレンドリーらしい。今度使ってみよう。 https://t.co/nV0LUkFEoZ
[5/14] Certains de ces travaux contribuent à améliorer les études en taxonomie intégrative en proposant de nouvelles méthodes d’analyse de jeux de données toujours plus importants, … https://t.co/Hultx1GsBU https://t.co/4na0y2FfWQ
ASAP: assemble species by automatic partitioning https://t.co/U1AUFZhmK6
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