jmpegg 1.0 – the pure java implementation of the MPEG-G ISO/IEC 23092 standard

jmpegg library provides MPEG-G files encoding/decoding features. The library is written in a pure java language without external dependencies. The library also supports conversion between MPEG-G and well-known genomic formats.High-throughput sequencing technologies consistently produce overwhelming amount of genomic data. This data is extremely important for the biomedical research and has an enormous impact on the progress in healthcare system. Considering the amount of generated sequencing data, data storage capacity became the principal concern for organizations like European Genome-phenome Archive (EGA) or Database of Genotypes and Phenotypes (dbGaP). The efficient and standard storage format is an important part of forging interoperability between different organizations. Several global initiatives such as ELIXIR and GA4GH already established the strategic partnership in standardization of genomic data formats andAPIs. On the other hand, other initiatives to provide a secure and efficient compressed format have appeared, such as MPEG-G (ISO/IEC 23092), developed by the MPEG working group of ISO (ISO/IEC JTC1 SC29/WG11). MPEG-G, also supported by ISO/TC 276 on Biotechnology, is making efforts for a better alignment and integration with approaches taken by other initiatives such as GA4GH.Postprint (published version

Lessons Learned: Recommendations for Establishing Critical Periodic Scientific Benchmarking

The dependence of life scientists on software has steadily grown in recent years. For many tasks, researchers have to decide which of the available bioinformatics software are more suitable for their specific needs. Additionally researchers should be able to objectively select the software that provides the highest accuracy, the best efficiency and the highest level of reproducibility when integrated in their research projects. Critical benchmarking of bioinformatics methods, tools and web services is therefore an essential community service, as well as a critical component of reproducibility efforts. Unbiased and objective evaluations are challenging to set up and can only be effective when built and implemented around community driven efforts, as demonstrated by the many ongoing community challenges in bioinformatics that followed the success of CASP. Community challenges bring the combined benefits of intense collaboration, transparency and standard harmonization. Only open systems for the continuous evaluation of methods offer a perfect complement to community challenges, offering to larger communities of users that could extend far beyond the community of developers, a window to the developments status that they can use for their specific projects. We understand by continuous evaluation systems as those services which are always available and periodically update their data and/or metrics according to a predefined schedule keeping in mind that the performance has to be always seen in terms of each research domain. We argue here that technology is now mature to bring community driven benchmarking efforts to a higher level that should allow effective interoperability of benchmarks across related methods. New technological developments allow overcoming the limitations of the first experiences on online benchmarking e.g. EVA. We therefore describe OpenEBench, a novel infra-structure designed to establish a continuous automated benchmarking system for bioinformatics methods, tools and web services. OpenEBench is being developed so as to cater for the needs of the bioinformatics community, especially software developers who need an objective and quantitative way to inform their decisions as well as the larger community of end-users, in their search for unbiased and up-to-date evaluation of bioinformatics methods. As such OpenEBench should soon become a central place for bioinformatics software developers, community-driven benchmarking initiatives, researchers using bioinformatics methods, and funders interested in the result of methods evaluation.Preprin

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

The Long-read RNA-Seq Genome Annotation Assessment Project (LRGASP) Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. The consortium generated over 427 million long-read sequences from cDNA and direct RNA datasets, encompassing human, mouse, and manatee species, using different protocols and sequencing platforms. These data were utilized by developers to address challenges in transcript isoform detection and quantification, as well as de novo transcript isoform identification. The study revealed that libraries with longer, more accurate sequences produce more accurate transcripts than those with increased read depth, whereas greater read depth improved quantification accuracy. In well-annotated genomes, tools based on reference sequences demonstrated the best performance. When aiming to detect rare and novel transcripts or when using reference-free approaches, incorporating additional orthogonal data and replicate samples are advised. This collaborative study offers a benchmark for current practices and provides direction for future method development in transcriptome analysis

BioSWR REST Web services API.

<p>BioSWR REST Web services API.</p

Add/Remove SAWSDL reference via SPARQL UPDATE query.

<p>Add/Remove SAWSDL reference via SPARQL UPDATE query.</p

Find all registered Web services via SPARQL DESCRIBE query.

<p>Find all registered Web services via SPARQL DESCRIBE query.</p

jmpegg 1.0 – the pure java implementation of the MPEG-G ISO/IEC 23092 standard

jmpegg library provides MPEG-G files encoding/decoding features. The library is written in a pure java language without external dependencies. The library also supports conversion between MPEG-G and well-known genomic formats.High-throughput sequencing technologies consistently produce overwhelming amount of genomic data. This data is extremely important for the biomedical research and has an enormous impact on the progress in healthcare system. Considering the amount of generated sequencing data, data storage capacity became the principal concern for organizations like European Genome-phenome Archive (EGA) or Database of Genotypes and Phenotypes (dbGaP). The efficient and standard storage format is an important part of forging interoperability between different organizations. Several global initiatives such as ELIXIR and GA4GH already established the strategic partnership in standardization of genomic data formats andAPIs. On the other hand, other initiatives to provide a secure and efficient compressed format have appeared, such as MPEG-G (ISO/IEC 23092), developed by the MPEG working group of ISO (ISO/IEC JTC1 SC29/WG11). MPEG-G, also supported by ISO/TC 276 on Biotechnology, is making efforts for a better alignment and integration with approaches taken by other initiatives such as GA4GH

MoDEL (Molecular Dynamics Extended Library): A Database of Atomistic Molecular Dynamics Trajectories

More than 1700 trajectories of proteins representative of monomeric soluble structures in the protein data bank (PDB) have been obtained by means of state-of-the-art atomistic molecular dynamics simulations in near-physiological conditions. The trajectories and analyses are stored in a large data warehouse, which can be queried for dynamic information on proteins, including interactions. Here, we describe the project and the structure and contents of our database, and provide examples of how it can be used to describe the global flexibility properties of proteins. Basic analyses and trajectories stripped of solvent molecules at a reduced resolution level are available from our web server

Lessons Learned: Recommendations for Establishing Critical Periodic Scientific Benchmarking

The dependence of life scientists on software has steadily grown in recent years. For many tasks, researchers have to decide which of the available bioinformatics software are more suitable for their specific needs. Additionally researchers should be able to objectively select the software that provides the highest accuracy, the best efficiency and the highest level of reproducibility when integrated in their research projects. Critical benchmarking of bioinformatics methods, tools and web services is therefore an essential community service, as well as a critical component of reproducibility efforts. Unbiased and objective evaluations are challenging to set up and can only be effective when built and implemented around community driven efforts, as demonstrated by the many ongoing community challenges in bioinformatics that followed the success of CASP. Community challenges bring the combined benefits of intense collaboration, transparency and standard harmonization. Only open systems for the continuous evaluation of methods offer a perfect complement to community challenges, offering to larger communities of users that could extend far beyond the community of developers, a window to the developments status that they can use for their specific projects. We understand by continuous evaluation systems as those services which are always available and periodically update their data and/or metrics according to a predefined schedule keeping in mind that the performance has to be always seen in terms of each research domain. We argue here that technology is now mature to bring community driven benchmarking efforts to a higher level that should allow effective interoperability of benchmarks across related methods. New technological developments allow overcoming the limitations of the first experiences on online benchmarking e.g. EVA. We therefore describe OpenEBench, a novel infra-structure designed to establish a continuous automated benchmarking system for bioinformatics methods, tools and web services. OpenEBench is being developed so as to cater for the needs of the bioinformatics community, especially software developers who need an objective and quantitative way to inform their decisions as well as the larger community of end-users, in their search for unbiased and up-to-date evaluation of bioinformatics methods. As such OpenEBench should soon become a central place for bioinformatics software developers, community-driven benchmarking initiatives, researchers using bioinformatics methods, and funders interested in the result of methods evaluation