Background: Sequence data analyses such as gene identification, structure modeling or phylogenetic tree inference involve a variety of bioinformatics software tools. Due to the heterogeneity of bioinformatics tools in usage and data requirements, scientists spend much effort on technical issues including data format, storage and management of input and output, and memorization of numerous parameters and multi-step analysis procedures.
Results: In this paper, we present the design and implementation of AnaBench, an interactive, Web-based bioinformatics Analysis workBench allowing streamlined data analysis. Our philosophy was to minimize the technical effort not only for the scientist who uses this environment to analyze data, but also for the administrator who manages and maintains the workbench. With new bioinformatics tools published daily, AnaBench permits easy incorporation of additional tools. This flexibility is achieved by employing a three-tier distributed architecture and recent technologies including CORBA middleware, Java, JDBC, and JSP. A CORBA server permits transparent access to a workbench management database, which stores information about the users, their data, as well as the description of all bioinformatics applications that can be launched from the workbench.
Conclusion: AnaBench is an efficient and intuitive interactive bioinformatics environment, which offers scientists application-driven, data-driven and protocol-driven analysis approaches. The prototype of AnaBench, managed by a team at the Université de Montréal, is accessible on-line at: http://malawimonas.bcm.umontreal.ca:8091/anabench. Please contact the authors for details about setting up a local-network AnaBench site elsewhere.
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http://dx.doi.org/10.1186/1471-2105-4-63 | DOI Listing |
Sci Rep
January 2025
Department of Gynecology and Obstetrics, First Hospital of Jilin University, Changchun, 130031, Jilin, China.
Preeclampsia (PE) is a major pregnancy-specific cardiovascular complication posing latent life-threatening risks to mothers and neonates. The contribution of immune dysregulation to PE is not fully understood, highlighting the need to explore molecular markers and their relationship with immune infiltration to potentially inform therapeutic strategies. We used bioinformatics tools to analyze gene expression data from the Gene Expression Omnibus (GEO) database using the GEOquery package in R.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India.
Advancements in bioinformatic tools and breakthroughs in high throughput RNA sequencing have unveiled the potential role of non-coding RNAs in influencing the overall expression of disease-responsive genes. Owing to the increasing need to develop resilient crop varieties against environmental constraints, our study explores the functional relationship of various non-coding RNAs in wheat during leaf rust pathogenesis. MicroRNAs (miRNAs) and circular RNAs (circRNAs) were retrieved from SAGE and RNA-Seq libraries, respectively, in the susceptible (HD2329) and resistant (HD2329 + Lr28) wheat Near-Isogenic Lines (NILs).
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, 21565, Republic of Korea.
Motivation: Microbiota-derived metabolites significantly impact host biology, prompting extensive research on metabolic shifts linked to the microbiota. Recent studies have explored both direct metabolite analyses and computational tools for inferring metabolic functions from microbial shotgun metagenome data. However, no existing tool specifically focuses on predicting changes in individual metabolite levels, as opposed to metabolic pathway activities, based on shotgun metagenome data.
View Article and Find Full Text PDFComput Biol Chem
January 2025
School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India. Electronic address:
Drug resistance poses a major obstacle to the efficient treatment of colorectal cancer (CRC), which is one of the cancers that kill people most often in the United States. Advanced colorectal cancer patients frequently pass away from the illness, even with advancements in chemotherapy and targeted therapies. Developing new biomarkers and therapeutic targets is essential to enhancing prognosis and therapy effectiveness.
View Article and Find Full Text PDFAnnu Rev Anal Chem (Palo Alto Calif)
January 2025
2School of Pharmaceutical Sciences, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada; email:
Mass spectrometry-based proteomics and metaproteomics have long been used in the study of human microbiomes, with the potential of metaproteomics only recently being fully harnessed. This progress is due to the advancements of high-performance mass spectrometers, innovative proteomics strategies, and the development of dedicated bioinformatics tools. In this review, we critically examine the recent technological developments that enhance the application of metaproteomics in clinical microbiome analysis.
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