talk-data.com
People (238 results)
See all 238 →Companies (1 result)
Activities & events
| Title & Speakers | Event |
|---|---|
|
Lida Derevnina
– researcher
,
Sebastian Eves-van den Akker
– researcher
,
Peter Thorpe
– researcher
,
Beatrice Senatori
– researcher
,
John T. Jones
– researcher
,
Veeren Chauhan
– host
,
Kyriakos Varypatakis
– researcher
,
Unnati Sonawala
– researcher
,
Helen Beasley
– researcher
In this episode, we dive into a genetic mystery: how can a single gene in plant-parasitic nematodes have thousands of alleles? This study unravels the bizarre behaviour of HYP effectors — genes that help nematodes infect plants but defy traditional genetics. Using CRISPR, long-read sequencing, and clever maths, the researchers reveal: How the HYP gene rearranges motifs in its hyper-variable domain (HVD) with flawless precisionThat most nematodes appear homozygous, despite the population showing extreme diversityA proposed mechanism called HVD editing — a form of locus-specific somatic genome editingWhy this mirrors the way our immune system reshuffles antibody genes This isn’t just about plant pests — it’s a rare glimpse at real-time genome innovation, where diversity is generated with intent, not random chance. 📖 Based on the research article: “A gene with a thousand alleles: The hyper-variable effectors of plant-parasitic nematodes” Unnati Sonawala, Helen Beasley, Peter Thorpe, Kyriakos Varypatakis, Beatrice Senatori, John T. Jones, Lida Derevnina & Sebastian Eves-van den Akker Published in Cell Genomics (2024). 🔗 https://doi.org/10.1016/j.xgen.2024.100580 🎧 Subscribe to the WoRM Podcast for more strange and spectacular tales of genome biology. This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch. 📩 More info: 🔗 www.veerenchauhan.com 📧 [email protected] |
WOrM Podcast: Whole Organism Analytics Podcast |
|
Peter Jones
– author
Deliver SAP BI 7.0 Web Reports Distribute integrated, accurate, and timely data across your enterprise using the Web-based reporting components in SAP BI. Written by an SAP insider, Applied SAP BI 7.0 Web Reports: Using BEx Web Analyzer and Web Application Designer shows you how to construct effective queries, create HTML-based reports, and combine key analytics into a dashboard-style interface. Learn how to import data from multiple providers, configure custom templates, track Key Performance Indicators (KPIs), and incorporate JavaScript and XHTML. Security, troubleshooting, and third-party tools are also discussed in this comprehensive guide. Essential BI skills for business professionals: Define queries and export them as links with BEx Web Analyzer Create BI-specific HTML pages using Web Application Designer and Report Designer Construct reusable templates, shortcuts, and Web items Design high-impact BI dashboards, cockpits, and billboards Integrate toolbars,drilldown capabilities, and drag-and-drop features Publish reporting objects with the Broadcaster and Broadcast Wizard Migrate existing systems and reports to the SAP BI 7.0 platform Add BusinessObjects, Crystal Reports, and JavaScript components Peter Jones, MBA, is a principal/platinum business applications consultant with SAP Professional Services Consulting. He has more than 11 years of consulting and educational experience in a variety of strategic and leadership roles. Jones is the author of SAP Business Information Warehouse Reporting. |
O'Reilly Data Science Books
|
|
Joshua Jones
– author
,
Eric Johnson
– author
“ explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. A Developer’s Guide to Data Modeling for SQL Server “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. A Developer’s Guide to Data Modeling for SQL Server You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility |
O'Reilly Data Engineering Books
|