CpGcluster: a distance-based algorithm for CpG-island detection

Background  

Despite their involvement in the regulation of gene expression and their importance as genomic markers for promoter prediction, no objective standard exists for defining CpG islands (CGIs), since all current approaches rely on a large parameter space formed by the thresholds of length, CpG fraction and G+C content.     

ArrayD: A general purpose software for Microarray design

Background  

Microarray is a high-throughput technology to study expression of thousands of genes in parallel. A critical aspect of microarray production is the design aimed at space optimization while maximizing the number of gene probes and their replicates to be spotted.     

Endometriosis in adolescence: A long-term follow-up fecundability assessment

Objective  

A long-term, follow-up study comparing mild and severe forms of endometriosis and their fecundability, on 28 women diagnosed with endometriosis in adolescence.     

Shortest triplet clustering: reconstructing large phylogenies using representative sets

Background  

Understanding the evolutionary relationships among species based on their genetic information is one of the primary objectives in phylogenetic analysis. Reconstructing phylogenies for large data sets is still a challenging task in Bioinformatics.     

The parenting attitudes and the stress of mothers predict the asthmatic severity of their children: a prospective study

Objective  

To examine relationships between a mother's stress-related conditions and parenting attitudes and their children's asthmatic status.     

Heritability patterns in hand osteoarthritis: the role of osteophytes

Introduction  

The objective of the present study was to assess heritability of clinical and radiographic features of hand osteoarthritis (OA) in affected patients and their siblings.     

Composition Profiler: a tool for discovery and visualization of amino acid composition differences

Background  

Composition Profiler is a web-based tool for semi-automatic discovery of enrichment or depletion of amino acids, either individually or grouped by their physico-chemical or structural properties.     

Reduced complexity of activity patterns in patients with Chronic Fatigue Syndrome: a case control study

Objective  

We examined developmental aspects of the emotional awareness of adolescents by evaluating their responses to a self-reported questionnaire based on the Toronto Alexithymia Scale-20 (TAS-20).     

PARE: A tool for comparing protein abundance and mRNA expression data

Background  

Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available in the near future. Since proteins are translated from mRNAs, their expression is expected to be related to their abundance, to some degree.     

Cancer initiation and progression: an unsimplifiable complexity

Background  

Cancer remains one of the most complex diseases affecting humans and, despite the impressive advances that have been made in molecular and cell biology, how cancer cells progress through carcinogenesis and acquire their metastatic ability is still widely debated.     

RDMAS: a web server for RNA deleterious mutation analysis

Background  

The diverse functions of ncRNAs critically depend on their structures. Mutations in ncRNAs disrupting the structures of functional sites are expected to be deleterious. RNA deleterious mutations have attracted wide attentions because some of them in cells result in serious disease, and some others in microbes influence their fitness.     

MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers

Background  

Various software tools are available for the display of pairwise linkage disequilibrium across multiple single nucleotide polymorphisms. The HapMap project also presents these graphics within their website. However, these approaches are limited in their use of data from multiallelic markers and provide limited information in a graphical form.     

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas

Background  

Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in the genome and that their coordinated expression depends on their position on chromosomes has highlighted the need for mathematical approaches to exploit this dependency for the analysis of expression data-sets.     

SLIMarray: Lightweight software for microarray facility management

Background  

Microarray core facilities are commonplace in biological research organizations, and need systems for accurately tracking various logistical aspects of their operation. Although these different needs could be handled separately, an integrated management system provides benefits in organization, automation and reduction in errors.     

TabSQL: a MySQL tool to facilitate mapping user data to public databases

Background  

With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases.     

GOPET: A tool for automated predictions of Gene Ontology terms

Background  

Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for their predictions.     

XRate: a fast prototyping, training and annotation tool for phylo-grammars

Background  

Recent years have seen the emergence of genome annotation methods based on the phylo-grammar, a probabilistic model combining continuous-time Markov chains and stochastic grammars. Previously, phylo-grammars have required considerable effort to implement, limiting their adoption by computational biologists.     

Microbial communities in low permeability,high pH uranium mine tailings: characterization and potential effects

Aims

To describe the diversity and metabolic potential of microbial communities in uranium mine tailings characterized by high pH, high metal concentration and low permeability.

Methods and Results

To assess microbial diversity and their potential to influence the geochemistry of uranium mine tailings using aerobic and anaerobic culture‐based methods, in conjunction with next generation sequencing and clone library sequencing targeting two universal bacterial markers (the 16S rRNA and cpn60 genes). Growth assays revealed that 69% of the 59 distinct culturable isolates evaluated were multiple‐metal resistant, with 15% exhibiting dual‐metal hypertolerance. There was a moderately positive correlation coefficient (R = 0·43, P < 0·05) between multiple‐metal resistance of the isolates and their enzyme expression profile. Of the isolates tested, 17 reduced amorphous iron, 22 reduced molybdate and seven oxidized arsenite. Based on next generation sequencing, tailings depth was shown to influence bacterial community composition, with the difference in the microbial diversity of the upper (0–20 m) and middle (20–40 m) tailings zones being highly significant (P < 0·01) from the lower zone (40–60 m) and the difference in diversity of the upper and middle tailings zone being significant (P < 0·05). Phylotypes closely related to well‐known sulfate‐reducing and iron‐reducing bacteria were identified with low abundance, yet relatively high diversity.

Conclusions

The presence of a population of metabolically‐diverse, metal‐resistant micro‐organisms within the tailings environment, along with their demonstrated capacity for transforming metal elements, suggests that these organisms have the potential to influence the long‐term geochemistry of the tailings.

Significance and Impact of the study

This study is the first investigation of the diversity and functional potential of micro‐organisms present in low permeability, high pH uranium mine tailings.     

Primary care physicians' perspectives towards managing rheumatoid arthritis: room for improvement

Introduction  

Many people with rheumatoid arthritis (RA) do not receive care from a rheumatologist. We surveyed primary care physicians (PCPs) to better understand their attitudes, knowledge, and practices regarding the optimal treatment of RA.