Related Experiment Video
Updated: Apr 16, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
Published on: May 9, 2017
FQC: A novel approach for efficient compression, archival, and dissemination of fastq datasets
Anirban Dutta1, Mohammed Monzoorul Haque, Tungadri Bose
1Bio-Sciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Limited, 54-B, Hadapsar Industrial Estate, Pune 411013, Maharashtra, India.
Abstract:
Sequence data repositories archive and disseminate fastq data in compressed format. In spite of having relatively lower compression efficiency, data repositories continue to prefer GZIP over available specialized fastq compression algorithms. Ease of deployment, high processing speed and portability are the reasons for this preference. This study presents FQC, a fastq compression method that, in addition to providing significantly higher compression gains over GZIP, incorporates features necessary for universal adoption by data repositories/end-users. This study also proposes a novel archival strategy which allows sequence repositories to simultaneously store and disseminate lossless as well as (multiple) lossy variants of fastq files, without necessitating any additional storage requirements. For academic users, Linux, Windows, and Mac implementations (both 32 and 64-bit) of FQC are freely available for download at: https://metagenomics.atc.tcs.com/compression/FQC .
Related Concept Videos
Maxam-Gilbert Sequencing
Challenges of the Maxam-Gilbert Method
The...
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Sanger Sequencing
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

