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1. Best Price Guarantee

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   • Rely on 99% accuracy to guide data-driven decisions, refine targeting, and improve engagement outcomes in all campaigns.

4. Custo...

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WEADE: A workflow for enrichment analysis and data exploration - Table 2

Supplementary materials (Appendix A and B) for the article:

Traffic Information Enrichment: Creating Long-Term Traffic Speed Prediction Ensemble Model for Better Navigation through Waypoints

Abstract: Traffic speed prediction for a selected road segment from a short-term and long-term perspective is among the fundamental issues of intelligent transportation systems (ITS). During the course of the past two decades, many artefacts (e.g., models) have been designed dealing with traffic speed prediction. However, no satisfactory solution has been found for the issue of a long-term prediction for days and weeks using the vast spatial and temporal data. This article aims to introduce a long-term traffic speed prediction ensemble model using country-scale historic traffic data from 37,002 km of roads, which constitutes 66% of all roads in the Czech Republic. The designed model comprises three submodels and combines parametric and nonparametric approaches in order to acquire a good-quality prediction that can enrich available real-time traffic information. Furthermore, the model is set into a conceptual design which expects its usage for the improvement of navigation through waypoints (e.g., delivery service, goods distribution, police patrol) and the estimated arrival time. The model validation is carried out using the same network of roads, and the model predicts traffic speed in the period of 1 week. According to the performed validation of average speed prediction at a given hour, it can be stated that the designed model achieves good results, with mean absolute error of 4.67 km/h. The achieved results indicate that the designed solution can effectively predict the long-term speed information using large-scale spatial and temporal data, and that this solution is suitable for use in ITS.

Simunek, M., & Smutny, Z. (2021). Traffic Information Enrichment: Creating Long-Term Traffic Speed Prediction Ensemble Model for Better Navigation through Waypoints. Applied Sciences, 11(1), 315. https://doi.org/10.3390/app11010315

Appendix A Examples of the deviation between the average speed and the FreeFlowSpeed for selected hours.

Appendix B The text file provides a complete overview of all road segments on which basis summary test results were calculated in Section 6 of the article.

Success.ai’s Firmographic Data API empowers organizations to make data-driven decisions with on-demand access to detailed insights on over 70 million companies worldwide. Covering key firmographic attributes like industry classifications, revenue size, and employee count, this API ensures your market analysis, strategic planning, and competitive benchmarking efforts are backed by continuously updated, AI-validated information.

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Additional APIs for Enhanced Functionality:

1. Data Enrichment API...

Additional file 11: Downloaded data from the SIGNOR database.

Global NGS Sample Preparation Market size was USD 1.95 billion in 2023 and is grow to around USD 5.20 billion by 2032 with a CAGR of roughly 11.48%.

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...

Museum collections around the world contain billions of specimens, including rare and extinct species. If their genetic information could be retrieved at a large scale, this would dramatically increase our knowledge of genetic and taxonomic diversity information, and support evolutionary, ecological and systematic studies. We here present a target enrichment kit for 2953 loci in 1753 orthologous nuclear genes + the barcoding region of cytochrome C oxidase 1, for Lepidoptera and demonstrate its utility to obtain a large number of nuclear loci from dry, pinned museum material collected from 1892 to 2017. We sequenced enriched libraries of 37 museum specimens across the order Lepidoptera, many from higher taxa not yet included in high-throughput molecular studies, showing that our kit can be used to generate comparable data across the order, and provides resolution both for shallower and deeper nodes. The filtered datasets (172 taxa, 234,464 amino acid positions and corresponding nucleotides from 1,835 CDS regions) were used to infer a phylogeny of Lepidoptera, which is largely congruent in topology to recent phylogenomic studies, but with the addition of some key taxa.

We furthermore present our TEnriAn (Target Enrichment Analysis) workflow for processing and combining target enrichment, transcriptomic and genomic data.

Arachnida Bait Design and Testing FilesThe ZIP archive contains the files used to identify, design, and test probes targeting conserved loci in Arachnids. The -design-steps.md file is a description of the design steps followed for the group. The "BAM" directory contains mappings of real/simulated reads to the base genome sequence for the group. The "BED" directory contains BAM files converted to BED, as well as intermediate BED files created during BED processing. The "BED" directory also contains the database of putatively conserved loci in the exemplar+base genome taxa, and the temporary probe design file. The "-probes" directory contains the database of temporary probe mappings to exemplar taxa, several intermediate files, and the principal probe design file. The "in-silico-test" directory contains all data from in-silico testing of the principal probe design file.arachnida.zipArachnida-UCE-1.1K-v1 Bait DesignA target enrichment probe set designed from 1,120 UCE loci identifi...

Success.ai’s Phone Number Data API provides businesses and organizations with instant access to a vast database of over 50 million verified phone numbers worldwide. Designed to enhance communication strategies and improve outreach effectiveness, our API ensures that you always have access to accurate, real-time phone data.

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   • Tailor datasets to focus on your preferred industries, regions, or target segments as your goals evolve.

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   • Combine phone data with other enrichment solutions for a holistic view of prospects, enabling more personalized outreach.

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Success.ai’s Phone Number Data API equips you with an unrivaled combination of accuracy, breadth, and cost-efficien...

Additional file 9: ChEMBL identifiers of cardiotoxic compounds.

Enrichment of modified peptides from global peptides is inevitable in mass spectrometric analysis protein modifications because of their importance in the study of cellular functions and low abundance in the global proteomic analysis. Recent advances in enrichment methods for modified peptides such as phosphopeptides and intact glycopeptides (IGPs) show that the methods for proteomic analyses of both protein modifications are robust. We have recently observed and reported a large number of IGPs from phosphoproteomic analysis using IMAC-based phosphopeptides enrichment procedure. To determine whether phosphorylated peptides could be specifically isolated from coenriched IGPs in IMAC experiments with different pH, IMAC procedures were performed at different pH conditions, and we found that the enrichment of phosphopeptides at pH 2.0 was the optimal condition for having the highest number of phosphopeptide identifications; however, coenrichment of phosphopeptides and glycopeptides was inevitable in the entire pH range. The hydrophilic enrichments of IGPs performed before or after IMAC enrichment were evaluated subsequently to determine the optimal workflow for simultaneous analyses of phosphopeptides and glycopeptides, and IMAC enrichment followed by hydrophilic enrichment was chosen as the optimized workflow. Applying the workflow to the TMT-labeled peptides from luminal and basal-like type of breast cancer patient-derived xenograft (PDX) models allowed quantitative analyses of phospho- and glycoproteomics with 17582 phosphopeptides and 3468 glycopeptides identified, and 1237 phosphopeptides and 236 glycopeptides showed significant expression differences between luminal and basal-like, respectively. This method allows simultaneous analyses of phosphoprotein and glycoprotein modifications, extending our understanding of roles of glycosylation and phosphorylation in biology and diseases.

1. Targeted enrichment of conserved genomic regions (e.g., ultraconserved elements or UCEs) has emerged as a promising tool for inferring evolutionary history in many organismal groups. Because the UCE approach is still relatively new, much remains to be learned about how best to identify UCE loci and design baits to enrich them.

2. We test an updated UCE identification and bait design workflow for the insect order Hymenoptera, with a particular focus on ants. The new strategy augments a previous bait design for Hymenoptera by (a) changing the parameters by which conserved genomic regions are identified and retained, and (b) increasing the number of genomes used for locus identification and bait design. We perform in vitro validation of the approach in ants by synthesizing an ant-specific bait set that targets UCE loci and a set of “legacy” phylogenetic markers. Using this bait set, we generate new data for 84 taxa (16/17 ant subfamilies) and extract loci from an additional 17 genome-enabled taxa. We then use these data to examine UCE capture success and phylogenetic performance across ants. We also test the workability of extracting legacy markers from enriched samples and combining the data with published data sets.

3. The updated bait design (hym-v2) contained a total of 2,590-targeted UCE loci for Hymenoptera, significantly increasing the number of loci relative to the original bait set (hym-v1; 1,510 loci). Across 38 genome-enabled Hymenoptera and 84 enriched samples, experiments demonstrated a high and unbiased capture success rate, with the mean locus enrichment rate being 2,214 loci per sample. Phylogenomic analyses of ants produced a robust tree that included strong support for previously uncertain relationships. Complementing the UCE results, we successfully enriched legacy markers, combined the data with published Sanger data sets, and generated a comprehensive ant phylogeny containing 1,060 terminals.

4. Overall, the new UCE bait design strategy resulted in an enhanced bait set for genome-scale phylogenetics in ants and likely all of Hymenoptera. Our in vitro tests demonstrate the utility of the updated design workflow, providing evidence that this approach could be applied to any organismal group with available genomic information.

Catalog Management Software Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global Catalog Management Software Market Drivers

E-commerce Growth: The rapid expansion of e-commerce platforms necessitates efficient catalog management solutions to organize and present product listings, driving market demand.

Proliferation of Online Marketplaces: The increasing number of online marketplaces and digital sales channels require robust catalog management software to manage product data, images, and descriptions across multiple platforms.

Product Data Standardization: The need for standardized product data formats and taxonomies to ensure consistency and accuracy across online and offline sales channels fuels the adoption of catalog management software.

Globalization of Supply Chains: The globalization of supply chains and the expansion of businesses into new markets necessitate catalog management solutions capable of handling multilingual product information and localization requirements.

Dynamic Product Assortments: The demand for dynamic and personalized product assortments requires catalog management software with advanced merchandising and recommendation features to optimize product visibility and sales.

Regulatory Compliance: Compliance with industry regulations and data standards, such as GS1, EN 13329, and ISO 8000, drives the adoption of catalog management software solutions that ensure data accuracy, traceability, and regulatory compliance.

Streamlined Workflow Processes: The need to streamline catalog creation, enrichment, approval, and publishing processes across distributed teams and departments boosts the adoption of catalog management software for workflow automation and collaboration.

Integration with ERP and CRM Systems: Integration with enterprise resource planning (ERP) and customer relationship management (CRM) systems enables seamless synchronization of product data, inventory levels, and customer information, driving market demand.

Enhanced Product Discovery: Catalog management software with advanced search, filtering, and faceted navigation capabilities improves product discovery and enhances the user experience, driving customer engagement and sales.

Data Analytics and Insights: Catalog management solutions that offer data analytics, reporting, and insights capabilities empower businesses to analyze product performance, customer behavior, and market trends, facilitating data-driven decision-making and strategic planning.

We describe a useful workflow for characterizing proteomics experiments incorporating many conditions and abundance data using the popular weighted gene correlation network analysis (WGCNA) approach and functional annotation with the PloGO2 R package, the latter of which we have extended and made available to Bioconductor. The approach can use quantitative data from labeled or label-free experiments and was developed to handle multiple files stemming from data partition or multiple pairwise comparisons. The WGCNA approach can similarly produce a potentially large number of clusters of interest, which can also be functionally characterized using PloGO2. Enrichment analysis will identify clusters or subsets of proteins of interest, and the WGCNA network topology scores will produce a ranking of proteins within these clusters or subsets. This can naturally lead to prioritized proteins to be considered for further analysis or as candidates of interest for validation in the context of complex experiments. We demonstrate the use of the package on two published data sets using two different biological systems (plant and human plasma) and proteomics platforms (sequential window acquisition of all theoretical fragment-ion spectra (SWATH) and tandem mass tag (TMT)): an analysis of the effect of drought on rice over time generated using TMT and a pediatric plasma sample data set generated using SWATH. In both, the automated workflow recapitulates key insights or observations of the published papers and provides additional suggestions for further investigation. These findings indicate that the data set analysis using WGCNA combined with the updated PloGO2 package is a powerful method to gain biological insights from complex multifaceted proteomics experiments.

Success.ai’s B2B Marketing Data API empowers marketing and sales teams to execute highly targeted and effective outreach campaigns. By providing on-demand access to over 70 million detailed business profiles worldwide, this API ensures your strategies are always guided by accurate, up-to-date information. From industry classifications and employee counts to firmographic and demographic insights, Success.ai’s B2B Marketing Data API enables you to zero in on the right businesses and decision-makers.

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   • Access over 70 million business profiles spanning various industries, geographies, and company sizes.
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   • Depend on 99% accurate data validated by AI, ensuring your outreach hits the mark and minimizes wasted efforts.
   • Rely on continuously updated information, eliminating concerns about stale, irrelevant records.

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   • Query the API based on key parameters like industry vertical, company size, revenue range, or geographic region.
   • Hone in on ideal customer profiles (ICPs), ensuring your campaigns resonate and drive tangible results.

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   • Fully adheres to GDPR, CCPA, and other global data privacy standards, ensuring responsible and lawful data usage.

Data Highlights:

• 70M+ Verified Business Profiles: Engage with a diverse range of companies worldwide.
• Detailed Firmographics: Gain insights into industry classifications, employee counts, and revenue ranges.
• Continuous Updates: Always work with the latest data, reflecting market changes, business expansions, and new entrants.
• Best Price Guarantee: Get maximum value and ROI for your marketing investments at the most competitive prices.

Key Features of the B2B Marketing Data API:

1. On-Demand Data Enrichment

   • Enhance your CRM or marketing automation platforms with enriched contact and firmographic data in real-time.
   • Remove manual data imports and outdated lists, streamlining workflows and saving resources.

2. Flexible Integration Options

   • Seamlessly integrate the API into existing marketing systems, analytics platforms, or sales dashboards.
   • Tailor datasets to align perfectly with your unique campaign goals, ICP criteria, or vertical interests.

3. Granular Segmentation and Targeting

   • Filter records by industry, revenue, workforce size, or region to ensure every campaign focuses on receptive, high-potential prospects.
   • Improve personalization, relevance, and message resonance, increasing open, click-through, and conversion rates.

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wishbone diffusion component 4, calculated from the complete data workflow, is enriched for T cell differentiation, according to the wishbone GSEA.

Protein tyrosine sulfation (sY) is a post-translational modification (PTM) catalyzed by Golgi-resident tyrosyl protein sulfo transferases (TPSTs). Information on sY in humans is currently limited to ∼50 proteins, with only a handful having verified sites of sulfation. As such, the contribution of sulfation to the regulation of biological processes remains poorly defined. Mass spectrometry (MS)-based proteomics is the method of choice for PTM analysis but has yet to be applied for systematic investigation of the “sulfome”, primarily due to issues associated with discrimination of sY-containing from phosphotyrosine (pY)-containing peptides. In this study, we developed an MS-based workflow for sY-peptide characterization, incorporating optimized Zr4+ immobilized metal-ion affinity chromatography (IMAC) and TiO2 enrichment strategies. Extensive characterization of a panel of sY- and pY-peptides using an array of fragmentation regimes (CID, HCD, EThcD, ETciD, UVPD) highlighted differences in the generation of site-determining product ions and allowed us to develop a strategy for differentiating sulfated peptides from nominally isobaric phosphopeptides based on low collision energy-induced neutral loss. Application of our “sulfomics” workflow to a HEK-293 cell extracellular secretome facilitated identification of 21 new sulfotyrosine-containing proteins, several of which we validate enzymatically, and reveals new interplay between enzymes relevant to both protein and glycan sulfation.