@humanceae.bsky.social
Reposted
I'm excited to introduce our new workflow for detecting endogenous viral elements - HI-FEVER. 🖥️🧬
academic.oup.com/bioinformati...
🧵
Big thanks to @ariskatzourakis.bsky.social, @humanceae.bsky.social, José Gabriel and Cormac for bringing this from conception to fruition!
academic.oup.com/bioinformati...
🧵
Big thanks to @ariskatzourakis.bsky.social, @humanceae.bsky.social, José Gabriel and Cormac for bringing this from conception to fruition!
HI-FEVER: a Nextflow pipeline for the high-throughput discovery and annotation of endogenous viral elements
AbstractSummary. Endogenous viral elements (EVEs) offer valuable insights into virus and host evolution, but their detection remains computationally and bi
academic.oup.com
November 13, 2025 at 11:14 AM
I'm excited to introduce our new workflow for detecting endogenous viral elements - HI-FEVER. 🖥️🧬
academic.oup.com/bioinformati...
🧵
Big thanks to @ariskatzourakis.bsky.social, @humanceae.bsky.social, José Gabriel and Cormac for bringing this from conception to fruition!
academic.oup.com/bioinformati...
🧵
Big thanks to @ariskatzourakis.bsky.social, @humanceae.bsky.social, José Gabriel and Cormac for bringing this from conception to fruition!
Reposted
Friends, for something to be open source, we need to see
1. The data it was trained & evaluated on
2. The code
3. Model architecture
4. Model weights.
DeepSeek only gives 3, 4. And I'll see the day that anyone gives us #1 without being forced to do so, because all of them are stealing data.
1. The data it was trained & evaluated on
2. The code
3. Model architecture
4. Model weights.
DeepSeek only gives 3, 4. And I'll see the day that anyone gives us #1 without being forced to do so, because all of them are stealing data.
January 29, 2025 at 5:01 AM
Friends, for something to be open source, we need to see
1. The data it was trained & evaluated on
2. The code
3. Model architecture
4. Model weights.
DeepSeek only gives 3, 4. And I'll see the day that anyone gives us #1 without being forced to do so, because all of them are stealing data.
1. The data it was trained & evaluated on
2. The code
3. Model architecture
4. Model weights.
DeepSeek only gives 3, 4. And I'll see the day that anyone gives us #1 without being forced to do so, because all of them are stealing data.
Cami just published the cool software she and her collaborators developed for analyzing (and understanding) large and diverse sequencing data 🖥️🧬✨!
🧬 Excited to share our latest work, MUSET 🌭, a new tool for creating abundance unitig matrices from sequencing data. It was published yesterday in Oxford Bioinformatics if you want to have a look👀 :
academic.oup.com/bioinformati...
Let's break it down:
academic.oup.com/bioinformati...
Let's break it down:
MUSET: Set of utilities for constructing abundance unitig matrices from sequencing data
AbstractSummary. MUSET is a novel set of utilities designed to efficiently construct abundance unitig matrices from sequencing data. Unitig matrices extend
academic.oup.com
February 4, 2025 at 3:15 PM
Cami just published the cool software she and her collaborators developed for analyzing (and understanding) large and diverse sequencing data 🖥️🧬✨!
Reposted
