MetaCRAM

MetaCRAM compresses FASTA and FASTQ metagenomic reads using lossless reference-based methods compatible with CRAM to reduce storage and enable taxonomy-aware retrieval and downstream assembly and analysis.


Key Features:

  • Taxonomy Identification and Assembly: Integrates algorithms for taxonomy identification and assembly of metagenomic reads to classify sequences and produce assemblies.
  • Lossless Compression: Implements a novel reference-based lossless compression compatible with standard CRAM formats, employing integer compression techniques and empirical distribution fitting of read-reference positions.
  • Parallel Execution: Supports parallel execution to run components concurrently for faster processing of large datasets.
  • Improved Compression Ratios: Achieves 2- to 4-fold improvements over gzip, with compressed file sizes reduced on average to 2–13% of the original.
  • Taxonomy Information Maintenance: Maintains taxonomy information within the compressed domain to allow selection and retrieval of relevant files without full decompression.

Scientific Applications:

  • Environmental Microbiology: Analyzing complex microbial communities in soil, water, or air from compressed metagenomic reads.
  • Human and Animal Health: Studying microbiomes of human organs and tissues to investigate roles in health and disease using compressed datasets.
  • Biotechnology: Facilitating research into microbial functions for industrial applications by enabling efficient storage and transfer of metagenomic data.

Methodology:

Integrates taxonomy identification, read alignment, assembly, and reference-based lossless compression compatible with CRAM, using integer compression techniques and empirical distribution fitting of read-reference positions while maintaining taxonomy information in the compressed domain.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java, Perl
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Kim M, Zhang X, Ligo JG, Farnoud F, Veeravalli VV, Milenkovic O. MetaCRAM: an integrated pipeline for metagenomic taxonomy identification and compression. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0932-x. PMID:26895947. PMCID:PMC4759986.

PMID: 26895947
PMCID: PMC4759986
Funding: - National Science Foundation: CCF 0809895, CCF 1218764, CSoI-CCF 0939370, DGE 1144245, IOS 1339388 - National Institutes of Health: U01 BD2K

Documentation

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