Bioinformatics

Heterogeneous folding landscapes and predetermined breaking points within a protein family

1. Sebastian Pechmann

Reviewed by PREreview

Topological Structures in the Space of Treatment-Naïve Patients with Chronic Lymphocytic Leukemia

1. Reginald L. McGee
2. Jake Reed
3. Caitlin E. Coombes
4. Carmen D. Herling
5. Michael J. Keating
6. Lynne V. Abruzzo
7. Kevin R. Coombes

Reviewed by Arcadia Science

Inferring Single-Cell RNA Kinetics from Various Biological Priors

1. Yanshuo Chen
2. Zhengmian Hu
3. Ke Ni
4. Site Feng
5. Wei Chen
6. Heng Huang

Reviewed by Arcadia Science

IPEV: identification of prokaryotic and eukaryotic virus-derived sequences in virome using deep learning

1. Hengchuang Yin
2. Shufang Wu
3. Jie Tan
4. Qian Guo
5. Mo Li
6. Jinyuan Guo
7. Yaqi Wang
8. Xiaoqing Jiang
9. Huaiqiu Zhu

Reviewed by GigaScience

SRY: An Effective Method for Sorting Long Reads of Sex-limited Chromosome

1. Xiao-Bo Wang
2. Qing-You Liu
3. A-Lun Li
4. Jue Ruan

Reviewed by GigaScience

Streamlining remote nanopore data access with slow5curl

1. Bonson Wong
2. James M. Ferguson
3. Hasindu Gamaarachchi
4. Ira W. Deveson

Reviewed by GigaScience

Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data

1. Michael B Hall
2. Lachlan J M Coin

Reviewed by GigaScience

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and men

1. Mariano Ruz Jurado
2. Lukas Stefan Tombor
3. Mani Arsalan
4. Thomas Holubec
5. Fabian Emrich
6. Thomas Walther
7. Andreas M. Zeiher
8. Marcel H. Schulz
9. Stefanie Dimmeler
10. David John

Reviewed by GigaScience

Protein language models are biased by unequal sequence sampling across the tree of life

1. Frances Ding
2. Jacob Steinhardt

Reviewed by Arcadia Science

Single-cell transcriptome analysis of cavernous tissues reveals the key roles of pericytes in diabetic erectile dysfunction

1. Seo-Gyeong Bae
2. Guo Nan Yin
3. Jiyeon Ock
4. Jun-Kyu Suh
5. Ji-Kan Ryu
6. Jihwan Park

• Curated by eLife

  eLife assessment

  The authors provide important insights into the pathogenesis of erectile dysfunction (ED) in patients with diabetes. The authors present compelling evidence, using single-cell transcriptomic analysis in both mouse and human cavernous tissues, to support their claims regarding the key roles of pericytes in diabetic ED. The identification of LBH as a potential pericyte-specific marker in both mouse and human tissues further strengthens their findings. This well-written manuscript offers novel and significant contributions to the field, identifying potential therapeutic targets for further investigation.

Reviewed by eLife