From 31ff50461c039eb69bb52b5673902a536a16be5a Mon Sep 17 00:00:00 2001 From: "N. Tessa Pierce-Ward" Date: Wed, 19 Jun 2024 11:04:28 -0700 Subject: [PATCH 1/3] upd citations, minor text --- paper.bib | 11 ++++++----- paper.md | 6 +++--- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/paper.bib b/paper.bib index c04d791b43..b460865d03 100644 --- a/paper.bib +++ b/paper.bib @@ -78,12 +78,13 @@ @article{hera2023deriving publisher={Cold Spring Harbor Lab} } -@article{liu2023fast, - doi={10.1101/2023.11.06.565843}, - url={https://doi.org/10.1101/2023.11.06.565843}, +@article{hera2023fast, title={Fast, lightweight, and accurate metagenomic functional profiling using FracMinHash sketches}, - author={Liu, S and Wei, W and Ma, C and Koslicki, D and others}, - year={2023} + author={Hera, Mahmudur Rahman and Liu, Shaopeng and Wei, Wei and Rodriguez, Judith S and Ma, Chunyu and Koslicki, David}, + journal={bioRxiv}, + pages={2023--11}, + year={2023}, + publisher={Cold Spring Harbor Laboratory} } @article{portik2022evaluation, diff --git a/paper.md b/paper.md index 0a55a7638d..8c9ca13255 100644 --- a/paper.md +++ b/paper.md @@ -129,7 +129,7 @@ of DNA, RNA, and amino acid k-mers for biological sequence search, comparison, and analysis [@Pierce:2019]. sourmash's FracMinHash sketching supports fast and accurate sequence comparisons between datasets of different sizes [@gather], including taxonomic profiling [@portik2022evaluation], functional profiling -[@liu2023fast], and petabase-scale sequence search [@branchwater]. From +[@hera2023fast], and petabase-scale sequence search [@branchwater]. From release 4.x, sourmash is built on top of Rust and provides an experimental Rust interface. @@ -150,14 +150,14 @@ and Containment calculations, which enables analysis and comparison of data sets of different sizes, including large metagenomic samples. As of v4.4, sourmash can convert these to estimated Average Nucleotide Identity (ANI) values, which can provide improved biological context to sketch comparisons -[@hera2022debiasing]. +[@hera2022deriving]. # Statement of Need Large collections of genomes, transcriptomes, and raw sequencing data sets are readily available in biology, and the field needs lightweight computational methods for searching and summarizing the content of both public and private -collections. sourmash provides a flexible set of programmatic functionality +collections. sourmash provides a flexible set of programmatic tools for this purpose, together with a robust and well-tested command-line interface. It has been used in over 350 publications (based on citations of @Brown:2016 and @Pierce:2019) and it continues to expand in functionality. From b7d415049eaf177b20be5fb53f201623cb6328ef Mon Sep 17 00:00:00 2001 From: "N. Tessa Pierce-Ward" Date: Thu, 20 Jun 2024 07:58:22 -0700 Subject: [PATCH 2/3] fix citation --- paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper.md b/paper.md index 8c9ca13255..107cbdb514 100644 --- a/paper.md +++ b/paper.md @@ -150,7 +150,7 @@ and Containment calculations, which enables analysis and comparison of data sets of different sizes, including large metagenomic samples. As of v4.4, sourmash can convert these to estimated Average Nucleotide Identity (ANI) values, which can provide improved biological context to sketch comparisons -[@hera2022deriving]. +[@hera2023deriving]. # Statement of Need From 471075dc41274705e5a04c355f725b1811372dfb Mon Sep 17 00:00:00 2001 From: "N. Tessa Pierce-Ward" Date: Thu, 20 Jun 2024 08:18:54 -0700 Subject: [PATCH 3/3] upd --- paper.bib | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper.bib b/paper.bib index b460865d03..1f057d1860 100644 --- a/paper.bib +++ b/paper.bib @@ -80,7 +80,7 @@ @article{hera2023deriving @article{hera2023fast, title={Fast, lightweight, and accurate metagenomic functional profiling using FracMinHash sketches}, - author={Hera, Mahmudur Rahman and Liu, Shaopeng and Wei, Wei and Rodriguez, Judith S and Ma, Chunyu and Koslicki, David}, + author={Rahman Hera, Mahmudur and Liu, Shaopeng and Wei, Wei and Rodriguez, Judith S and Ma, Chunyu and Koslicki, David}, journal={bioRxiv}, pages={2023--11}, year={2023},