Skip to main content

TIPP3 - A Phylogeney-Based Abundance Profiling Tool

Project description

Static Badge

Developer:

Chengze Shen

News

  • 1.21.2025 -

  • 1.20.2025 - TIPP3 now is feature complete for abundance profiling, for both the more accurate TIPP3 mode or the fast TIPP3-fast mode. By default, TIPP3-fast is used.

  • 12.17.2024 - TIPP3 now can handle both fasta (.fasta or .fa) and fastq (.fastq or .fq) files as inputs, and they can be in gzip format (e.g., queries.fasta.gz or queries.fq.gz).

TODO list

  • 1.20.2025 - Add a script for downloading the latest reference package to a user specified directory.

Method Overview

TIPP3 is a metagenomic profiling method that solves the following problems:

Taxonomic identification
  • Input: A query read q

  • Output: The taxonomic lineage of q (if identified)

Abundance profiling
  • Input: A set Q of query reads

  • Output: An abundance profile estimated on Q

TIPP3 continues the TIPP-family methods (prior methods: TIPP and TIPP2), which use a marker gene database to identify the taxonomic lineage of input reads (if the read comes from a marker gene). See the pipeline below for the TIPP3 workflow.

TIPP3 pipeline

Publication(s)

(TIPP3) Shen, Chengze, Eleanor Wedell, Mihai Pop, and Tandy Warnow, “TIPP3 and TIPP3-fast: improved abundance profiling in metagenomics.” TBD.

(TIPP2) Nguyen, Nam, Siavash Mirarab, Bo Liu, Mihai Pop, and Tandy Warnow, “TIPP: Taxonomic identification and phylogenetic profiling.” Bioinformatics, 2014. https://doi.org/10.1093/bioinformatics/btu721

(TIPP) Shah, Nidhi, Erin K. Molloy, Mihai Pop, and Tandy Warnow, “TIPP2: metagenomic taxonomic profiling using phylogenetic markers.” Bioinformatics, 2020. https://doi.org/10.1093/bioinformatics/btab023

Note and Acknowledgment

TIPP3 includes and uses:

  1. pplacer (v1.1.alpha19).

  2. Batch-SCAMPP (v1.0.0).

Installation

TIPP3 was tested on Python 3.8 to 3.12.

There are two ways to install and use TIPP3: with PyPI (pip install) or directly with this GitHub repository. If you have any difficulties installing or running TIPP3, please contact Chengze Shen (chengze5@illinois.edu).

External Requirements

BLAST is a hard requirement to run TIPP3. The software will automatically look for blastn in the $PATH environment variable. If you have not installed BLAST, you can find the latest version from https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/.

Install with PyPI (pip)

TODO

Install from source files

Requirements

python>=3.7
configparser>=5.0.0
DendroPy>=4.5.2
numpy>=1.21.6
psutil>=5.0.0
setuptools>=60.0.0
treeswift>=1.1.28
witch-msa>=1.0.7
lz4>=4.3.2

Installation Steps

# 1. Install via GitHub repo
git clone https://github.com/c5shen/TIPP3.git

# 2. Install all requirements
pip3 install -r requirements.txt

# 3. Execute tipp3.py executable for the first time with "-h" to see
#    allowed commandline parameters and example usages
#    Running TIPP3 for the first time will also create the main config
#    file at "~/.tipp3/main.config", which stores the default behavior
#    for running TIPP3 (including all binary executable paths)
python3 tipp3.py [-h]

main.config

main.config file will be created the first time running TIPP3 at the user root directory (~/.tipp3/main.config). This file stores the default behavior for running TIPP3 and the paths to all binary executables that TIPP3 need to use.

user-specified config file

In addition, a user can specify a customized config file with -c or --config-file parameter option when running TIPP3 (e.g., tipp3.py -c user.config). The user.config file will override settings from main.config (if overlaps). Command-line arguments still have the highest priority and will override both config files, if any parameters overlap.

Usage

The general command to run TIPP3 is listed below. By default, TIPP3-fast is run, which is significantly faster than the more accurate TIPP3 mode. See Examples below for how to customize the TIPP3 pipeline.

# (Optional) change the logging level to DEBUG for more verbose logging
export TIPP_LOGGING_LEVEL=debug

# TIPP3 supports the following formats for "-i [query reads]"
# XXX.fasta[.gz, .gzip]
# XXX.fa[.gz, .gzip]
# XXX.fastq[.gz, .gzip]
# XXX.fq[.gz, .gzip]

python3 tipp3.py -r [reference package path] -i [query reads] -d [output directory]

Examples

Some examples of TIPP3 usage can be found at the bottom of the help text running:

python3 tipp3.py -h

All of the following examples can be found in the examples/run.sh bash script, with example data stored under examples/data. The default example data used is a small set of Illumina short reads denoted as illumina.small.queries.fasta.

Scenario 1

(TIPP3-fast) Use BLAST for query alignment, and Batch-SCAMPP (bscampp) for query placement. Keep all temporary files during the run.

python3 tipp3.py -i examples/illumina.small.queries.fasta \
   --reference-package [reference package dir] --outdir tipp3_scenario1 \
   --alignment-method blast --placement-method bscampp \
   -t 16 --keeptemp

Scenario 2

Use BLAST for query alignment, and pplacer with the taxtastic package for query placement (pplacer-taxtastic). Keep all temporary files.

python3 tipp3.py -i examples/illumina.small.queries.fasta \
   --reference-package [reference package dir] --outdir tipp3_scenario1 \
   --alignment-method blast --placement-method pplacer-taxtastic \
   -t 16 --keeptemp

Scenario 3

(TIPP3) Use WITCH for query alignment, and pplacer-taxtastic for query placement. Keep all temporary files.

python3 tipp3.py -i examples/illumina.small.queries.fasta \
   --reference-package [reference package dir] --outdir tipp3_scenario1 \
   --alignment-method witch --placement-method pplacer-taxtastic \
   -t 16 --keeptemp

Project details


Download files

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

Source Distribution

tipp3-0.1a0.tar.gz (8.3 MB view details)

Uploaded Source

Built Distribution

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

tipp3-0.1a0-py3-none-any.whl (8.4 MB view details)

Uploaded Python 3

File details

Details for the file tipp3-0.1a0.tar.gz.

File metadata

  • Download URL: tipp3-0.1a0.tar.gz
  • Upload date:
  • Size: 8.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for tipp3-0.1a0.tar.gz
Algorithm Hash digest
SHA256 e8da8ab04571961f2bf958906fe812c99af25cfe7c0cbe2f6a3710faa2e75fbb
MD5 8d595e2e911f0811efbb445ec5981834
BLAKE2b-256 049c8f08d20dbb3b35186d149f993b7454041cd358b0f5b36f29fcbf8bcb297d

See more details on using hashes here.

Provenance

The following attestation bundles were made for tipp3-0.1a0.tar.gz:

Publisher: python-publish.yml on c5shen/TIPP3

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file tipp3-0.1a0-py3-none-any.whl.

File metadata

  • Download URL: tipp3-0.1a0-py3-none-any.whl
  • Upload date:
  • Size: 8.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for tipp3-0.1a0-py3-none-any.whl
Algorithm Hash digest
SHA256 d81909777f57b36b7023e94aeffef0114ce5f04af344a2685f4d7ad272e2eee5
MD5 64016e5cbc54b80355a6c71578220f18
BLAKE2b-256 206a8e0710c3c2b5124961409bd58a0c5d4519cd1924942d07feb96a99b7b349

See more details on using hashes here.

Provenance

The following attestation bundles were made for tipp3-0.1a0-py3-none-any.whl:

Publisher: python-publish.yml on c5shen/TIPP3

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page