Bioinformatics

Deep generative design of neutralizing nanobodies against SARS-CoV-2 variants

1. Liyun Huo
2. Tian Tian
3. Yanqin Xu
4. Qin Qin
5. Xinyi Jiang
6. Qiang Huang

Reviewed by Arcadia Science

Integer programming framework for pangenome-based genome inference

1. Ghanshyam Chandra
2. Md Helal Hossen
3. Stephan Scholz
4. Alexander T Dilthey
5. Daniel Gibney
6. Chirag Jain

Reviewed by Arcadia Science

BioFunctional: A Comprehensive App for Interpreting and Visualizing Functional Analysis of KEGG Pathways and Gene Ontologies

1. Alejandro Rodriguez
2. Antonio Monleon Getino

Reviewed by Arcadia Science

Signature Distance: Generalizing Energy Statistics

1. Nicolo' Lazzaro
2. Raffaele Marchesi
3. Gianluca Leonardi
4. Jacopo Tessadori
5. Marco Chierici
6. Gabriele Sales
7. Monica Moroni
8. Toma Tebaldi
9. Giuseppe Jurman

Reviewed by Arcadia Science

InteracTor: A new integrative feature extraction toolkit for improved characterization of protein structural properties

1. Jose Cleydson F. Silva
2. Layla Schuster
3. Nick Sexson
4. Matias Kirst
5. Marcio F. R. Resende
6. Raquel Dias

Reviewed by Arcadia Science

Machine Learning-Enhanced Drug Discovery for BACE1: A Novel Approach to Alzheimer's Therapeutics

1. Satyam Sangeet

Reviewed by PREreview

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

1. Locedie Mansueto
2. Tobias Kretzschmar
3. Ramil Mauleon
4. Graham J. King

• 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