Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
CReSCENT: CanceR Single Cell ExpressioN Toolkit
Suluxan Mohanraj, J. Javier Díaz-MejíaiD, Martin D. Pham, Hillary ElrickiD, Mia HusićiD, Shaikh Rashid, Ping LuoiD, Prabnur Bal, Kevin Lu, Samarth Siddharth PateliD, Alaina Mahalanabis, Alaine Naidas, Erik ChristenseniD, Danielle C. CroucheriD, Laura M. RichardsiD, Parisa ShooshtariiD, Michael BrudnoiD, Arun K RamaniiD, Trevor J. PughiD
Abstract
CReSCENTCanceR Single Cell ExpressioN Toolkit (https://crescent.cloud), is an intuitive and scalable web portal incorporating a containerized pipeline execution engine for standardized analysis of single-cell RNA sequencing (scRNA-seq) data. While scRNA-seq data for tumour specimens are readily generated, subsequent analysis requires high-performance computing infrastructure and user expertise to build analysis pipelines and tailor interpretation for cancer biology. CReSCENT uses public data sets and preconfigured pipelines that are accessible to computational biology non-experts and are user-editable to allow optimization, comparison, and reanalysis for specific experiments. Users can also upload their own scRNA-seq data for analysis and results can be kept private or shared with other users.
- Citations
- 20
- FWCI
- 1.46
- Field percentile
- top 19%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- scCancer: a package for automated processing of single cell RNA-seq data in cancer
Wenbo Guo, Dongfang Wang, … Jin Gu·Briefings in BioinformaticsPeer-reviewed·May 25, 2020
- Asc-Seurat - Analytical single-cell Seurat-based web application
Wendell J. Pereira, Felipe Marques de Almeida, … Matias Kirst·BMC BioinformaticsPeer-reviewed·Nov 18, 2021
- cellsnake: a user-friendly tool for single-cell RNA sequencing analysis
Sinan U. Umu, Karoline Rapp Vander-Elst, … Diana Domańska·GigaSciencePeer-reviewed·Dec 28, 2022
- User-friendly, scalable tools and workflows for single-cell analysis
Pablo A Moreno, Ni Huang, … Irene Papatheodorou·Nature MethodsPeer-reviewed·Mar 29, 2021
- scExplorer: A Comprehensive Web Server for Single-Cell RNA Sequencing Data Analysis
Sergio Herńandez-Galaz, Andrés Hernández‐Oliveras, … Alberto J. M. Martín·Bioinformatics AdvancesPeer-reviewed·Dec 26, 2024
- SCHNAPPs - Single Cell sHiNy APPlication(s)
Bernd Jagla, Valentina Libri, … Milena Hasan·Journal of Immunological MethodsPeer-reviewed·Nov 3, 2021