Project description:The accelerating expansion of online bioinformatics tools has profoundly impacted molecular biology, with such tools becoming integral to the modern life sciences. As a result, molecular biology laboratory education must train students to leverage bioinformatics in meaningful ways to be prepared for a spectrum of careers. Institutions of higher learning can benefit from a flexible and dynamic instructional paradigm that blends up-to-date bioinformatics training with best practices in molecular biology laboratory pedagogy. At North Carolina State University, the campus-wide interdisciplinary Biotechnology (BIT) Program has developed cutting-edge, flexible, inquiry-based Molecular Biology Laboratory Education Modules (MBLEMs). MBLEMs incorporate relevant online bioinformatics tools using evidenced-based pedagogical practices and in alignment with national learning frameworks. Students in MBLEMs engage in the most recent experimental developments in modern biology (e.g., CRISPR, metagenomics) through the strategic use of bioinformatics, in combination with wet-lab experiments, to address research questions. MBLEMs are flexible educational units that provide a menu of inquiry-based laboratory exercises that can be used as complete courses or as parts of existing courses. As such, MBLEMs are designed to serve as resources for institutions ranging from community colleges to research-intensive universities, involving a diverse range of learners. Herein, we describe this new paradigm for biology laboratory education that embraces bioinformatics as a critical component of inquiry-based learning for undergraduate and graduate students representing the life sciences, the physical sciences, and engineering.
Project description:A hands-on course mainly for the applications of bioinformatics to biological problems was organized at Peking University. The course materials are from http://abc.cbi.pku.edu.cn. They are divided into individual pages (separated by lines in the text):
Project description:The European Bioinformatics Institute (https://www.ebi.ac.uk/) archives, curates and analyses life sciences data produced by researchers throughout the world, and makes these data available for re-use globally (https://www.ebi.ac.uk/). Data volumes continue to grow exponentially: total raw storage capacity now exceeds 160 petabytes, and we manage these increasing data flows while maintaining the quality of our services. This year we have improved the efficiency of our computational infrastructure and doubled the bandwidth of our connection to the worldwide web. We report two new data resources, the Single Cell Expression Atlas (https://www.ebi.ac.uk/gxa/sc/), which is a component of the Expression Atlas; and the PDBe-Knowledgebase (https://www.ebi.ac.uk/pdbe/pdbe-kb), which collates functional annotations and predictions for structure data in the Protein Data Bank. Additionally, Europe PMC (http://europepmc.org/) has added preprint abstracts to its search results, supplementing results from peer-reviewed publications. EMBL-EBI maintains over 150 analytical bioinformatics tools that complement our data resources. We make these tools available for users through a web interface as well as programmatically using application programming interfaces, whilst ensuring the latest versions are available for our users. Our training team, with support from all of our staff, continued to provide on-site, off-site and web-based training opportunities for thousands of researchers worldwide this year.
Project description:Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separated. This work describes an example of integrated education with a focus on genomics and transcriptomics. Participants learned computational and molecular biology methods in the same practical course. Peer-review was applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. The positive evaluation results indicate that this approach was accepted by the participants and would likely be suitable for wider scale application.
Project description:BackgroundDisastrous situations in the emergency department (ED) or community can overwhelm even the best-prepared teams due to their complexity and dynamic nature. In this paper we propose an integrated approach to disaster management, combining six theoretical and practical frameworks to enhance decision-making and operational effectiveness.DiscussionThe approach begins with "sensemaking," an instinctive process that helps leaders quickly gain situational awareness, a crucial foundation for the recognition-primed decision process (RPD). RPD enables swift, experience-based decisions without exhaustive analysis, aligning them with the appropriate domain in the Cynefin framework to guide subsequent interventions. In chaotic situations, rapid action is necessary, and the edge-of-chaos theory guides leaders to balance order and chaos for optimal adaptability. Complexity theory aids in managing the unpredictable elements of a crisis, highlighting the need for flexible responses. Finally, the Incident Command System ensures effective implementation by providing a standardized approach to command, control, and coordination. This cohesive strategy equips emergency physicians and incident commanders to manage both internal ED crises and broader community disasters effectively, with an emphasis on the importance of training in these frameworks to enhance the resilience of emergency medical services.ConclusionThis multifaceted approach should improve disaster management by better preparing responders for the unpredictable nature of emergencies, enabling effective evaluation and management of complex scenarios, and leading to a more rapid restoration of order.
Project description:Databases and computational tools for mimotopes have been an important part of phage display study. Five special databases and eighteen algorithms, programs and web servers and their applications are reviewed in this paper. Although these bioinformatics resources have been widely used to exclude target-unrelated peptides, characterize small molecules-protein interactions and map protein-protein interactions, a lot of problems are still waiting to be solved. With the improvement of these tools, they are expected to serve the phage display community better.
Project description:Developments in high-throughput sequencing (HTS) result in an exponential increase in the amount of data generated by sequencing experiments, an increase in the complexity of bioinformatics analysis reporting and an increase in the types of data generated. These increases in volume, diversity and complexity of the data generated and their analysis expose the necessity of a structured and standardized reporting template. BioCompute Objects (BCOs) provide the requisite support for communication of HTS data analysis that includes support for workflow, as well as data, curation, accessibility and reproducibility of communication. BCOs standardize how researchers report provenance and the established verification and validation protocols used in workflows while also being robust enough to convey content integration or curation in knowledge bases. BCOs that encapsulate tools, platforms, datasets and workflows are FAIR (findable, accessible, interoperable and reusable) compliant. Providing operational workflow and data information facilitates interoperability between platforms and incorporation of future dataset within an HTS analysis for use within industrial, academic and regulatory settings. Cloud-based platforms, including High-performance Integrated Virtual Environment (HIVE), Cancer Genomics Cloud (CGC) and Galaxy, support BCO generation for users. Given the 100K+ userbase between these platforms, BioCompute can be leveraged for workflow documentation. In this paper, we report the availability of platform-dependent and platform-independent BCO tools: HIVE BCO App, CGC BCO App, Galaxy BCO API Extension and BCO Portal. Community engagement was utilized to evaluate tool efficacy. We demonstrate that these tools further advance BCO creation from text editing approaches used in earlier releases of the standard. Moreover, we demonstrate that integrating BCO generation within existing analysis platforms greatly streamlines BCO creation while capturing granular workflow details. We also demonstrate that the BCO tools described in the paper provide an approach to solve the long-standing challenge of standardizing workflow descriptions that are both human and machine readable while accommodating manual and automated curation with evidence tagging. Database URL: https://www.biocomputeobject.org/resources.
Project description:BACKGROUND:Bioinformaticians face a range of difficulties to get locally-installed tools running and producing results; they would greatly benefit from a system that could centralize most of the tools, using an easy interface for input and output. Web services, due to their universal nature and widely known interface, constitute a very good option to achieve this goal. RESULTS:Bioinformatics open web services (BOWS) is a system based on generic web services produced to allow programmatic access to applications running on high-performance computing (HPC) clusters. BOWS intermediates the access to registered tools by providing front-end and back-end web services. Programmers can install applications in HPC clusters in any programming language and use the back-end service to check for new jobs and their parameters, and then to send the results to BOWS. Programs running in simple computers consume the BOWS front-end service to submit new processes and read results. BOWS compiles Java clients, which encapsulate the front-end web service requisitions, and automatically creates a web page that disposes the registered applications and clients. CONCLUSIONS:Bioinformatics open web services registered applications can be accessed from virtually any programming language through web services, or using standard java clients. The back-end can run in HPC clusters, allowing bioinformaticians to remotely run high-processing demand applications directly from their machines.
Project description:In this paper we demonstrated the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery During drug discovery and development, the early identification of adverse effects is expected to reduce costly late stage failures of candidate drugs. As risk/safety assessment takes place rather late during the development process and due to the limited predictivity of animal models to the human situation, modern unbiased high-dimensional biology read-outs are sought, such as molecular signatures of in vivo response using high-throughput cell-based assays. In this theoretical proof-of-concept we provide findings of an in-depth exploration of a single chemical core structure. Via transcriptional profiling we identified a subset of close analogs which commonly down-regulate tubulin genes across cellular contexts, suggesting possible spindle poison effects. Confirmation via a qualified toxicity assay (in vitro micronucleus test) and the identification of a characteristic aggregate-formation phenotype via exploratory high content imaging validated the inititial findings. SAR analysis triggered the synthesis of a new set of compounds and allowed us to extend the series showing the genotoxic effect. We demonstrate the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery. We share our thoughts on how this approach may be incorporated into drug development strategies. Cells were cultured using standard protocols, seeded in 96 well plate, cultured for 8 hours before treatment with a number of inhouse synthesized compounds. The treatments represent different chemical structures/small molecules that have been synthesized in the context of developing a new drug targeting PDE10A.
Project description:In this paper we demonstrated the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery During drug discovery and development, the early identification of adverse effects is expected to reduce costly late stage failures of candidate drugs. As risk/safety assessment takes place rather late during the development process and due to the limited predictivity of animal models to the human situation, modern unbiased high-dimensional biology read-outs are sought, such as molecular signatures of in vivo response using high-throughput cell-based assays. In this theoretical proof-of-concept we provide findings of an in-depth exploration of a single chemical core structure. Via transcriptional profiling we identified a subset of close analogs which commonly down-regulate tubulin genes across cellular contexts, suggesting possible spindle poison effects. Confirmation via a qualified toxicity assay (in vitro micronucleus test) and the identification of a characteristic aggregate-formation phenotype via exploratory high content imaging validated the inititial findings. SAR analysis triggered the synthesis of a new set of compounds and allowed us to extend the series showing the genotoxic effect. We demonstrate the potential to flag toxicity issues by utilizing data from exploratory experiments which are typically generated for target evaluation purposes during early drug discovery. We share our thoughts on how this approach may be incorporated into drug development strategies. Cells were cultured using standard protocols, seeded in 96 well plate, cultured for 8 hours before treatment with a number of inhouse synthesized compounds. The treatments represent different chemical structures/small molecules that have been synthesized in the context of developing a new drug targeting PDE10A.