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.