Bioinformatics: Sequence and Genome Analysis

Bioinformatics III: Structural Bioinformatics and Genome Analysis

SOBA: sequence ontology bioinformatics analysis

The advent of cheaper, faster sequencing technologies has pushed the task of sequence annotation from the exclusive domain of large-scale multi-national sequencing projects to that of research laboratories and small consortia. The bioinformatics burden placed on these laboratories, some with very little programming experience can be daunting. Fortunately, there exist software libraries and pipe...

Genome sequencing and next-generation sequence data analysis: A comprehensive compilation of bioinformatics tools and databases

Genomics has become a ground-breaking field in all areas of the life sciences. The advanced genomics and the development of high-throughput techniques have lately provided insight into whole-genome characterization of a wide range of organisms. In the post-genomic era, new technologies have revealed an outbreak of prerequisite genomic sequences and supporting data to understand genome wide func...

Bioinformatics Genome Cluster Database . A Sequence Family Analysis Platform for Arabidopsis and Rice 1

The genome-wide protein sequences from Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) spp. japonica were clustered into families using sequence similarity and domain-based clustering. The two fundamentally different methods resulted in separate cluster sets with complementary properties to compensate the limitations for accurate family analysis. Functional names for the identified f...

Genome Sequence Analysis

The human genome has approximately 3.5 billion base pairs (bp) and is an excellent example for the analysis of eukaryotic genomes. The goal of genome research is to sequence each one of these base pairs so that all the genes and regulatory regions in the genome can be located. This information can then be used to facilitate discoveries in the basic and clinical sciences. Thus, the aim of most l...