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Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Updated: May 27, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

GenomicTools: a computational platform for developing high-throughput analytics in genomics.

Aristotelis Tsirigos¹, Niina Haiminen, Erhan Bilal

¹Computational Biology Center, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA. atsirigo@us.ibm.com

Bioinformatics (Oxford, England)

|November 25, 2011

Summary

This summary is machine-generated.

GenomicTools is a new computational platform for analyzing high-throughput sequencing data. It efficiently manages large datasets, outperforming existing tools in speed and memory usage for genomic analysis.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Advances in sequencing technology generate massive datasets, necessitating efficient computational resource management.
Prototyping computational pipelines for genomic data analysis is challenging.
Existing tools often struggle with large-scale data and efficient resource utilization.

Purpose of the Study:

To present GenomicTools, a flexible computational platform for high-throughput sequencing data analysis.
To provide a command-line interface and C++ API for genomic data manipulation.
To enable efficient prototyping of computational pipelines for diverse genomic tasks.

Main Methods:

GenomicTools is a C++ based platform offering a command-line set of tools and a C++ API.
It implements mathematical operations between sets of genomic regions.
The platform is designed to minimize memory requirements for handling large datasets.

Main Results:

GenomicTools supports analysis of various sequencing data types (DNA-seq, RNA-seq, ChIP-seq, MethylC-seq).
It facilitates prototyping of pipelines for tasks from pre-processing to meta-analyses.
GenomicTools demonstrates superior performance in time and memory usage compared to existing tools.

Conclusions:

GenomicTools provides an efficient and flexible solution for high-throughput sequencing data analysis.
Its design addresses the challenges of managing large datasets and prototyping computational pipelines.
The platform offers significant advantages in computational efficiency for genomic research.