henhaobio
Sign in

bioRxivBioinformaticsPreprint

BBrowser: Making single-cell data easily accessible

Tri LeiD, Tan Phan, Minh PhamiD, Dat Tran, Loc Lam, Ngoc Tung NguyeniD, Thao Truong, Hy Vuong, Tam Luu, Nam PhungiD, Ngan Pham, Trang Thi Thu NguyeniD, Oanh Minh PhamiD, An Nguyen, Huy Tan NguyeniD, Hao Tran, Loc Tran, Ha An Nguyen, Thanh Trung TraniD, Nhung NguyeniD, Ngoc Tran, Cecilie Boysen, Uyen Nguyen, Vy PhamiD, Theodore KimiD, , Son Truong PhamiD

PDFDOI
Structured summary available · Jump to summary ↓

Abstract

BioTurings BBrowser is a software solution that helps scientists effectively analyze single-cell omics data. It combines big data with big computation and modern data visualization to create a unique platform where scientists can interact and obtain important biological insights from the massive amounts of single-cell data. BBrowser has three main components: a curated single-cell database, a big-data analytics layer, and a data visualization module. BBrowser is available for download at: https://bioturing.com/bbrowser/download.

Abstract summary

Claude Opus 5.5 · xhigh effort · 18 Oct 2026 · from the abstract · CC BY-NC-ND 4.0

A downloadable application pairs a curated single-cell database with a big-data analytics layer and a visualisation module for exploring single-cell omics data.

Single-cell omics data now arrive in massive amounts that scientists need to turn into biological insight. BioTuring's answer joins a curated database, big-data computation and modern visualisation in one platform, which the abstract calls unique but does not compare with other tools.

Key results

  1. ClaimedBBrowser is organised as three parts: a curated database of single-cell datasets, an analytics layer for large data, and a visualisation module.

    The abstract lists the three components but gives no dataset counts, cell numbers, runtimes or comparison with other single-cell browsers. · Abstract

  2. ClaimedThe authors present the combination of big data, computation and visualisation as a platform where scientists interact with massive amounts of single-cell data and obtain biological insights.

    Asserted in the abstract; no worked example, user study or benchmark is reported. · Abstract

  3. ClaimedThe software is distributed as a download from the vendor's site rather than as a source repository.

    A single download URL (bioturing.com/bbrowser/download) is given; no version, licence terms or system requirements appear. · Abstract

Methods, data and reproducibility

Description of a software platform for single-cell omics: a curated dataset database, a layer for computation on large data, and a module for interactive visualisation, delivered as an installable application.

Methods & tools
BBrowser
Reproducibility gaps
Only a vendor download page is given, not a source repository; the abstract names no version, licence or platform requirements, and no data are released.
Limitations (2)
  • The abstract reports no evaluation at all: no datasets, no scale figures, no timings and no comparison with existing single-cell browsers. · noted in this summary
  • What the curated database contains, how it is curated and how it is kept current are not described, so its coverage cannot be judged. · noted in this summary

Read this if you want a packaged platform for browsing a curated single-cell database and are willing to evaluate a vendor download yourself.

Citations
77

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

Similarity Map
SelectedSame fieldCross-field
THISSpeir '21Obermayer '20Showers '25Lun '23Palmer '23Bolisetty '17
73% semantic matchBioinformatics
Matthew L Speir, Aparna Bhaduri, Nikolay S. Markov+8 more·Bioinformatics·Jul 5, 2021· 284 citations