1. Building a community-driven bioinformatics platform to facilitate Cannabis sativa multi-omics research

    This article has 4 authors:
    1. Locedie Mansueto
    2. Tobias Kretzschmar
    3. Ramil Mauleon
    4. Graham J. King
    This article has been curated by 1 group:
    • Curated by GigaByte

      Editors Assessment:

      This paper reports the establishment of the International Cannabis Genomics Research Consortium (ICGRC) web portal leveraging the open source Tripal platform to enhance data accessibility and integration for Cannabis sativa (Cannabis) multi-omics research. With the aim of bringing together the wealth of publicly available genomic, transcriptomic, proteomic, and metabolomic data sets to improve cannabis for food, fiber and medicinal traits. Tripal is a content management system for genomics data, presenting a ready-to-use specialized ‘omics modules for loading, visualization, and analysis, and is GMOD (Generic Model Organism Database) standards-compliant. The paper explaining how this was put together, what data and features are available, and providing a case study for other communities wanting to create their own Tripal platform. Covering their setup and customizations of the Tripal platform, and how they re-engineered modules for multi-omics data integration, and addition of many other custom features that can be reused. Peer review fixed a few minor bugs and added clarifications on how the platform will be updated.

      *This evaluation refers to version 1 of the preprint

    Reviewed by GigaByte

    This article has 2 evaluationsAppears in 2 listsLatest version Latest activity
  2. Unveiling the influence of tumor and immune signatures on immune checkpoint therapy in advanced lung cancer

    This article has 21 authors:
    1. Nayoung Kim
    2. Sehhoon Park
    3. Areum Jo
    4. Hye Hyeon Eum
    5. Hong Kwan Kim
    6. Kyungjong Lee
    7. Jong Ho Cho
    8. Bo Mi Ku
    9. Hyun Ae Jung
    10. Jong-Mu Sun
    11. Se-Hoon Lee
    12. Jin Seok Ahn
    13. Jung-Il Lee
    14. Jung Won Choi
    15. Dasom Jeong
    16. Minsu Na
    17. Huiram Kang
    18. Jeong Yeon Kim
    19. Jung Kyoon Choi
    20. Hae-Ock Lee
    21. Myung-Ju Ahn
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      The authors utilized single-cell RNA-seq profiling of non-small cell lung cancer (NSCLC) patient tumor samples to generate useful insights into the determinants of immune checkpoint inhibitor (ICI) responsiveness in NSCLC patients. While some of the findings add weight to the current literature, the analysis is incomplete due to the small cohort size and heterogeneous population which has limited their ability to draw statistically supported conclusion after adjusting for multiple hypothesis testing, as well as the lack of functional characterization of the findings. This study would benefit from external cohorts to both validate the findings and justify the statistical analysis undertaken.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  3. Coenzyme-Protein Interactions since Early Life

    This article has 5 authors:
    1. Alma Carolina Sanchez-Rocha
    2. Mikhail Makarov
    3. Lukáš Pravda
    4. Marian Novotný
    5. Klára Hlouchová
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study presents a valuable examination of the prevalence of interactions between amino acids from different periods of Earth's history and coenzymes. While the premise of this work is well founded and the analysis is solid, with more data, the interpretation could change. This manuscript would be of interest to evolutionary biologists and biophysicists.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  4. BFVD - a large repository of predicted viral protein structures

    This article has 3 authors:
    1. Rachel Seongeun Kim
    2. Eli Levy Karin
    3. Martin Steinegger

    Reviewed by Arcadia Science

    This article has 16 evaluationsAppears in 1 listLatest version Latest activity
  5. Benchmarking tRNA-Seq quantification approaches by realistic tRNA-Seq data simulation identifies two novel approaches with higher accuracy

    This article has 4 authors:
    1. Tom Smith
    2. Mie Monti
    3. Anne E Willis
    4. Lajos Kalmár
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study provides an important resource by thoroughly benchmarking multiple sequencing-based tRNA quantification methods. The suggested best practice is supported by convincing evidence from in silico experiments in multiple scenarios.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  6. A novel channel invariant architecture for the segmentation of cells and nuclei in multiplexed images using InstanSeg

    This article has 7 authors:
    1. Thibaut Goldsborough
    2. Alan O’Callaghan
    3. Fiona Inglis
    4. Léo Leplat
    5. Andrew Filby
    6. Hakan Bilen
    7. Peter Bankhead

    Reviewed by Arcadia Science

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  7. An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks

    This article has 3 authors:
    1. Gaetan De Waele
    2. Gerben Menschaert
    3. Willem Waegeman
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This valuable study presents a machine learning model to recommend effective antimicrobial drugs from patients' samples analysed with mass spectrometry. The evidence supporting the claims of the authors is convincing. This work will be of interest to computational biologists, microbiologists, and clinicians.

    Reviewed by eLife

    This article has 10 evaluationsAppears in 1 listLatest version Latest activity
  8. Single-Cell and Spatial Transcriptomic Analyses Reveals the Dynamic Transcript Profiles of Myocardial Lymphangiogenesis post Myocardial Infarction

    This article has 12 authors:
    1. Jiaqi He
    2. Dali Zhang
    3. Haixu Song
    4. Ziqi Liu
    5. Dan Liu
    6. Xiaolin Zhang
    7. Xiaojie Zhao
    8. Yan Zhang
    9. Jing Liu
    10. Jiaxin Xu
    11. Chenghui Yan
    12. Yaling Han
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study presents useful, yet preliminary, findings on the transcriptomic changes in cardiac lymphatic cells after myocardial infarction in mice. The conclusions of the authors remain uncertain as sample sizes for lymphatic endothelial cells are very low. The single-cell transcriptomic data were analyzed using solid advanced methodology and may be used as a starting point for future studies of the impact of lymphatic cells on heart disease.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 1 listLatest version Latest activity
  9. Modeling transcriptional profiles of gene perturbation with deep neural network

    This article has 4 authors:
    1. Wenke Liu
    2. Xuya Wang
    3. D R Mani
    4. David Fenyö

    Reviewed by preLights

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  10. TopOMetry systematically learns and evaluates the latent dimensions of single-cell atlases

    This article has 3 authors:
    1. Davi Sidarta-Oliveira
    2. Ana Domingos
    3. Licio A Velloso
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This study presents TopOMetry, an important novel dimensionality reduction method that addresses a signficant challenge in the analysis of single-cell RNA sequencing data. The authors provide convincing evidence of the method's utility across various tasks, including estimating intrinsic dimensionalities and identifying cell types. The work would benefit from more rigorous validation and a reorganization of the text.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
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