Skip to main content

Recentrifuge


Robust comparative analysis and contamination removal for metagenomics


Retest Anaconda-Server Badge

Robust comparative analysis

With Recentrifuge, researchers can interactively explore what organisms are in their samples and at which level of confidence, thus enabling a robust comparative analysis of multiple samples in any metagenomic study.

Recentrifuge enables researchers to analyze results from Centrifuge, Centrifuger, Kraken, LMAT, CLARK, and many other taxonomic classifiers using interactive pie charts, by placing great emphasis on the confidence level (score) of the taxonomic classifications.

The arithmetic of scored taxonomic trees of Recentrifuge supports the 49 taxonomic ranks of the NCBI Taxonomy, including several infraspecific levels such as strain or isolate. In addition to the scored charts for the original samples, different sets of scored plots are generated for each taxonomic level of interest, like shared taxa and exclusive taxa per sample.

Robust contamination removal

If there are one or more negative control samples in the study, Recentrifuge will also generate additional control-subtracted interactive plots with the contamination removed from every sample and from the shared taxa specimen.

The novel and robust contamination removal algorithm of Recentrifuge detects and selectively removes various types of pollutants, including crossovers.

Reliable detection of minority organisms in complex datasets

Recentrifuge quickly analyzes complex metagenomic datasets using parallel computational algorithms. It is especially useful in the case of low microbial biomass studies and when a more reliable detection of minority organisms is needed, like in clinical, environmental, and forensic applications.

Beyond the standard confidence levels, Recentrifuge implements others devoted to variable length reads, very convenient for datasets generated by nanopore sequencers.


For usage and docs, please, see the Recentrifuge wiki or, depending on your classifier, installation and:


To play with an example of webpage generated by Recentrifuge, click on the screenshot:

Recentrifuge test screenshot

Recentrifuge webpage example


Recentrifuge is in a stable development status. For further details, please check the PLOS CB article.

If you use Recentrifuge in your research, please cite the paper. Thanks!

Martí JM (2019) Recentrifuge: Robust comparative analysis and contamination removal for metagenomics. PLOS Computational Biology 15(4): e1006967. https://doi.org/10.1371/journal.pcbi.1006967


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

recentrifuge-2.1.2.tar.gz (622.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

recentrifuge-2.1.2-py3-none-any.whl (642.4 kB view details)

Uploaded Python 3

File details

Details for the file recentrifuge-2.1.2.tar.gz.

File metadata

  • Download URL: recentrifuge-2.1.2.tar.gz
  • Upload date:
  • Size: 622.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.2

File hashes

Hashes for recentrifuge-2.1.2.tar.gz
Algorithm Hash digest
SHA256 e52bfdc0f9ccbb73132c3abf21e32ec550fa74987969697cf54afe8074f1565c
MD5 4820655a79c7b93f48a7613ae7cbb034
BLAKE2b-256 0c0f31aaafad72a43e3971250deed5f0c59874b05a1708bac6598820fd18f46d

See more details on using hashes here.

File details

Details for the file recentrifuge-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: recentrifuge-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 642.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.2

File hashes

Hashes for recentrifuge-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 31e8507322514a10951490fae97f8b267b33747dad749825128a479a72e8bda9
MD5 8b942a3b3582c0a11a284ea814b3ab7f
BLAKE2b-256 c77883eca12eb8a840b84e72caa9fc3ea48a1f2c4d08b56cc7ccd6dbb3a1a16f

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

2.1.2 This release

2 files

2.1.1

2 files

2.0.0

2 files

1.16.1

2 files

1.16.0

2 files

1.15.1

2 files

1.15.0

2 files

1.14.1

2 files

1.14.0

2 files

1.13.2

2 files

1.13.1

2 files

1.13.0

2 files

1.12.2

2 files

1.12.1

2 files

1.12.0

2 files

1.11.0

2 files

1.10.1

2 files

1.10.0

2 files

1.9.1

2 files

1.9.0

2 files

1.8.2

2 files

1.8.1

2 files

1.8.0

2 files

1.7.0

1 file

1.6.3

2 files

1.6.2

2 files

1.6.1

2 files

1.6.0

2 files

1.5.2

2 files

1.5.1

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.5

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.1

2 files

1.2.0

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

0.29.0

2 files

0.28.15

2 files

0.28.14

2 files

0.28.13

2 files

0.28.12

2 files

0.28.11

2 files

0.28.10

2 files

0.28.9

2 files

0.28.8

2 files

0.28.7

2 files

0.28.6

2 files

0.28.5

2 files

0.28.4

2 files

0.28.3

2 files

0.28.2

2 files

0.28.1

2 files

0.28.0

2 files

0.27.2

2 files

0.27.1

2 files

0.27.0

2 files

0.26.4

2 files

0.26.3

2 files

0.26.2

2 files

0.26.1

2 files

0.26.0

2 files

0.25.1

2 files

0.25.0

2 files

0.24.14

2 files

0.24.13

2 files

0.24.12

2 files

0.24.11

2 files

0.24.10

2 files

0.24.9

2 files

0.24.8

2 files

0.24.7

2 files

0.24.6

2 files

0.24.5

2 files

0.24.4

2 files

0.24.3

2 files

0.24.2

2 files

0.24.1

2 files

0.24.0

2 files

0.23.3

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page