Matias Piipari presented iMotifs, a sequence motif viewer and editor for the Mac. The goals of iMotifs are to make motif analysis easy for biologists and reuse existing tools. iMotifs includes the NestedMICA motif discovery suite and other analysis tools. It allows viewing, editing, and discovering motifs from uploaded sequences. iMotifs is written in Objective-C, uses the xms-cocoa motif library, is multithreaded, and works on Intel and PowerPC Macs. Future plans include integrating more analysis tools.
Debian-Med is a Debian Linux distribution community focused on adapting and disseminating open source bioinformatics software. It maintains over 160 bioinformatics packages through a collaborative development process, providing quality assurance and compatibility across multiple architectures. The community aims to improve access to packages for high-performance and cloud computing as well as ease of data management and distribution of bioinformatics libraries and software.
This document discusses using Taverna and ARC workflow management tools together with grid computing resources. It outlines benefits like resource sharing, easy configuration, knowledge sharing, and dependency management. It proposes using a Taverna plugin to submit workflows to the ARC grid middleware for execution across heterogeneous resources. Challenges addressed include dynamic runtime environments, common tools, and firewall configuration. Potential applications discussed include Taverna as a web service, embedding workflows, and packaging programs for grid execution.
The document proposes lowering barriers to publishing biological data on the web by providing reusable presentation components and quickly deployable frameworks that integrate bioinformatics libraries, database schemas, and web development frameworks. It notes current states including reusable libraries for parsing file formats and running programs, database schemas for representing and analyzing biological data beyond flat files, and web applications. Challenges include designing reusable yet not overly large framework components that are multi-language and accessible via automated data retrieval and standard formats, while being available under open licenses. It asks how the community can provide plug-in components, leverage existing code, make reuse easier, and communicate about these issues.
The document discusses Modware, an object-oriented Perl interface for querying and updating the Chado database schema. It provides semantically sensible classes and methods that encapsulate Chado's business rules for easier and more efficient development. An example demonstrates storing a gene with exons in Chado using Modware and generating a web page to display the gene details.
Seqpad is a high performance and flexible bioinformatics visualization and data handling platform built on open source technologies. It provides concise views of sequence data including the ability to view sequences, multiple alignments, 3D structures, phylogenetic trees and more. Users can import common file formats, perform sequence manipulations and view annotations. The platform utilizes a relational database backend and provides tools for task scheduling. It has grown significantly since 2003 both in features and code size. Seqpad aims to provide a productive environment for exploring and analyzing biological data.
The document describes the biomanycores.org project, which aims to create a repository of open-source GPU-accelerated bioinformatics algorithms. It provides interfaces to popular bioinformatics tools like BioJava, BioPerl, and Biopython to easily integrate the GPU implementations. The project currently includes tools like Smith-Waterman alignment and PWM scanning. The challenges include differing APIs, object representations, real-world pipelines, and licensing. The goals are to share more OpenCL code, integrate and benchmark new algorithms, and improve usability for bioinformaticians.
DAS Gen Exp is a web-based interactive genomic browser that uses client-side rendering. It processes and renders genomic data on the client machine using JavaScript and HTML5 canvas. This increases control over the drawing process, reduces server load, and increases response times to user commands compared to server-side rendering. The client is written in JavaScript and uses prototyping libraries while the small server is written in Perl and uses caching and the Simple Object Access Protocol.
The document discusses BioMart, a data warehousing system that allows querying of biological data from multiple sources. It summarizes recent developments including MartBuilder for constructing data warehouses, MartView for viewing and querying data, and APIs and web services for programmatic access. It also outlines future plans such as a new configuration system and GUI framework to improve scalability, customizability, and user experience.
Debian-Med is a Debian Linux distribution community focused on adapting and disseminating open source bioinformatics software. It maintains over 160 bioinformatics packages through a collaborative development process, providing quality assurance and compatibility across multiple architectures. The community aims to improve access to packages for high-performance and cloud computing as well as ease of data management and distribution of bioinformatics libraries and software.
This document discusses using Taverna and ARC workflow management tools together with grid computing resources. It outlines benefits like resource sharing, easy configuration, knowledge sharing, and dependency management. It proposes using a Taverna plugin to submit workflows to the ARC grid middleware for execution across heterogeneous resources. Challenges addressed include dynamic runtime environments, common tools, and firewall configuration. Potential applications discussed include Taverna as a web service, embedding workflows, and packaging programs for grid execution.
The document proposes lowering barriers to publishing biological data on the web by providing reusable presentation components and quickly deployable frameworks that integrate bioinformatics libraries, database schemas, and web development frameworks. It notes current states including reusable libraries for parsing file formats and running programs, database schemas for representing and analyzing biological data beyond flat files, and web applications. Challenges include designing reusable yet not overly large framework components that are multi-language and accessible via automated data retrieval and standard formats, while being available under open licenses. It asks how the community can provide plug-in components, leverage existing code, make reuse easier, and communicate about these issues.
The document discusses Modware, an object-oriented Perl interface for querying and updating the Chado database schema. It provides semantically sensible classes and methods that encapsulate Chado's business rules for easier and more efficient development. An example demonstrates storing a gene with exons in Chado using Modware and generating a web page to display the gene details.
Seqpad is a high performance and flexible bioinformatics visualization and data handling platform built on open source technologies. It provides concise views of sequence data including the ability to view sequences, multiple alignments, 3D structures, phylogenetic trees and more. Users can import common file formats, perform sequence manipulations and view annotations. The platform utilizes a relational database backend and provides tools for task scheduling. It has grown significantly since 2003 both in features and code size. Seqpad aims to provide a productive environment for exploring and analyzing biological data.
The document describes the biomanycores.org project, which aims to create a repository of open-source GPU-accelerated bioinformatics algorithms. It provides interfaces to popular bioinformatics tools like BioJava, BioPerl, and Biopython to easily integrate the GPU implementations. The project currently includes tools like Smith-Waterman alignment and PWM scanning. The challenges include differing APIs, object representations, real-world pipelines, and licensing. The goals are to share more OpenCL code, integrate and benchmark new algorithms, and improve usability for bioinformaticians.
DAS Gen Exp is a web-based interactive genomic browser that uses client-side rendering. It processes and renders genomic data on the client machine using JavaScript and HTML5 canvas. This increases control over the drawing process, reduces server load, and increases response times to user commands compared to server-side rendering. The client is written in JavaScript and uses prototyping libraries while the small server is written in Perl and uses caching and the Simple Object Access Protocol.
The document discusses BioMart, a data warehousing system that allows querying of biological data from multiple sources. It summarizes recent developments including MartBuilder for constructing data warehouses, MartView for viewing and querying data, and APIs and web services for programmatic access. It also outlines future plans such as a new configuration system and GUI framework to improve scalability, customizability, and user experience.
The document describes MOLGENIS, a database generator that can automatically generate useful data applications from simple data models. It is being used to create xGAP (extensible Genotype And Phenotype database), which aims to harmonize and enable collaboration and analysis of diverse genotype and phenotype data. The document outlines challenges in data integration in biology and how MOLGENIS addresses these challenges through its platform and software generators.
The 10th Annual Bioinformatics Open Source Conference (BOSC 2009) was held June 27-28, 2009 and organized by Kam Dahlquist, Lonnie Welch, and others. The conference schedule and information was available online and included calls for lightning talks and Birds of a Feather sessions. Lunch was provided each day and the conference featured keynote speakers, sessions, and a student travel award.
The document discusses a panel at the 2009 Bioinformatics Open Source Community conference about applying software patterns to bioinformatics open source development. The panel explores how patterns can help create better bioinformatics software, patterns they have already identified, what is done with patterns, whether there is a pattern repository, and who maintains such a repository.
The document describes the R'MES software for identifying exceptional motifs in DNA sequences. R'MES uses statistical methods to determine if the number of occurrences of a motif is significantly higher or skewed than expected by chance. It can compare the exceptionality of a motif between sequences and identify motifs that are over-represented or orientation-dependent in a genome. As examples, it discusses how R'MES was used to identify the Chi motif in Staphylococcus aureus and investigate the organization of DNA in Escherichia coli.
The document discusses two software patterns used in developing Chipster, a bioinformatics application: graceful GUI blocking, which places an opaque layer over the GUI to indicate loading and prevent user interaction; and self-service distributed state management, which distributes application state management to clients to avoid single points of failure in a distributed system. The patterns were found useful for Chipster, which provides bioinformatics analysis tools through a graphical interface and supports distributed computing.
This document discusses the discovery that DNA previously thought to have no value ("junk DNA") may actually play important roles in gene expression regulation. Scientists investigated junk DNA in the model plant Arabidopsis thaliana and found short, linked patterns of DNA called pyknons. This suggests a universal genetic mechanism is at play across biology that is not yet fully understood. The discovery illustrates the connection between coding and non-coding DNA and that the term "junk DNA" may need reevaluation.
EMBOSS is an open source software suite for sequence analysis. It contains over 200 applications and supports over 100 file formats. It is funded by the UK BBSRC and developed by researchers at the EBI, Sanger Institute, and other institutions. EMBOSS faced an uncertain future in 2004 when its original developers were relocated, but continued funding has allowed ongoing development and support for a worldwide user base conducting research on all continents.
BioJava is an open source Java framework for processing biological data. It provides tools for analyzing and manipulating sequences, structures, and other biological data. The latest version, BioJava 1.7, includes improved support for 3D structures and modularization into separate modules. The project aims to facilitate rapid bioinformatics application development and is supported by an active developer community.
Soaplab is a generator of web services for accessing command-line programs and other tools. It wraps hundreds of EMBOSS programs and other plugins as SOAP web services. A new release, Soaplab 2.2.0, adds support for "typed services" which define inputs and outputs using WSDL and XSD for better integration with third party tools. Developers can add new command line tools or plugins and Soaplab will generate the corresponding web services.
This document provides an update on the Biopython project. It discusses recent releases including support for new file formats like FASTQ and new modules. It outlines current and future projects including work on parsing new file types and switching from CVS to git version control. Development involves an international team through an open source model and is supported by various organizations.
The document discusses software patterns for reusable design, outlining what a software pattern is, how patterns are used within communities, and how to apply patterns to documentation, design, and development. It provides an overview of pattern concepts including what constitutes a pattern, pattern languages, and pattern communities while cautioning that patterns should not be viewed as a "turn the crank" approach to software development.
PSODA is an open-source phylogenetic search and DNA analysis package that is compatible with PAUP* and adds a scripting language to PAUP blocks to allow for advanced meta-searches. It began development in 2005 as an alternative to PAUP* that could be used for phylogenetic search, multiple alignment, and detecting natural selection. PSODA's scripting language, PSODAscript, adds functionality like decision statements, loops, and functions to PAUP blocks and allows for easy scripting of meta-searches.
This document summarizes an approach called VAMSAS that enables sharing of data like sequences, alignments, and annotations between different bioinformatics tools. It describes how VAMSAS uses a shared XML document and client library to allow tools to access and update shared data, view events in other tools, and better integrate workflows. Examples of tools like TOPALI and Jalview that could benefit from this approach are discussed.
This document describes a method for discovering composite motifs in DNA sequences. The method searches for overrepresented patterns representing transcription factor binding sites. It improves on previous methods by modeling motifs as modules that occur together, rather than as isolated patterns. The algorithm ranks predicted modules based on support, specificity and significance. It was shown to outperform other tools, particularly at realistic noise levels, due to its use of real DNA backgrounds and support-based scoring. Future work includes exploring the full Pareto front of optimal solutions and parameter interactions to improve predictions.
3) The algorithm works by first discovering short motif seeds, then extending these seeds into full length position weight matrices, and iteratively refining the matrices to discover overrepresented motifs.
The document summarizes the BioLib project, which aims to create C/C++ libraries for common biological functionality that can be accessed from multiple bioinformatics programming languages to avoid duplication of efforts. It has created bindings for several existing libraries, including Affyio, Staden IO, GSL, Rlib, and others. The project uses Git for version control, CMake for building, and SWIG for generating language bindings in an effort to maximize code reuse across languages.
This document introduces BNFinder, a Python software for reconstructing Bayesian networks and dynamic Bayesian networks from data. It uses a fast, exact algorithm to find the optimal network topology, unlike traditional Markov chain Monte Carlo methods. The software supports discrete and continuous data, different scoring functions, and datasets with perturbations. It is open source and runs efficiently on large real-world genomic and neural network examples. Future plans include parallelization and improvements to continuous variable and classification models.
The document discusses the BioHDF project which aims to develop scalable data infrastructure for bioinformatics using HDF5. It notes that next generation DNA sequencing is producing vast amounts of complex data that is challenging to analyze and compare across samples due to lack of consistent data models and structured storage. The BioHDF project seeks to address this by developing HDF5 domain extensions and tools to organize, index, annotate and access sequencing data in a way that enables more efficient analysis, visualization and exploration of results within and between samples.
This document discusses Q-normalization, a method for normalizing gene expression data. It presents parallel implementations of Q-normalization using shared memory, message passing, and GPU architectures. Benchmarking shows the GPU implementation provides a 5.5x speedup over the sequential CPU version for processing large gene expression datasets. The shared memory implementation provides a 2.9x total speedup, while the message passing version is suitable for distributed memory clusters.
ModeRNA is a software for comparative modeling of RNA 3D structures. It generated over 7,000 models of transfer RNA structures using 99 known templates. The software was developed in Python using Bio.PDB and PyCogent with a test-driven development approach. Future plans include combining analysis functions into a library to improve modeling and building more models.
The document describes MOLGENIS, a database generator that can automatically generate useful data applications from simple data models. It is being used to create xGAP (extensible Genotype And Phenotype database), which aims to harmonize and enable collaboration and analysis of diverse genotype and phenotype data. The document outlines challenges in data integration in biology and how MOLGENIS addresses these challenges through its platform and software generators.
The 10th Annual Bioinformatics Open Source Conference (BOSC 2009) was held June 27-28, 2009 and organized by Kam Dahlquist, Lonnie Welch, and others. The conference schedule and information was available online and included calls for lightning talks and Birds of a Feather sessions. Lunch was provided each day and the conference featured keynote speakers, sessions, and a student travel award.
The document discusses a panel at the 2009 Bioinformatics Open Source Community conference about applying software patterns to bioinformatics open source development. The panel explores how patterns can help create better bioinformatics software, patterns they have already identified, what is done with patterns, whether there is a pattern repository, and who maintains such a repository.
The document describes the R'MES software for identifying exceptional motifs in DNA sequences. R'MES uses statistical methods to determine if the number of occurrences of a motif is significantly higher or skewed than expected by chance. It can compare the exceptionality of a motif between sequences and identify motifs that are over-represented or orientation-dependent in a genome. As examples, it discusses how R'MES was used to identify the Chi motif in Staphylococcus aureus and investigate the organization of DNA in Escherichia coli.
The document discusses two software patterns used in developing Chipster, a bioinformatics application: graceful GUI blocking, which places an opaque layer over the GUI to indicate loading and prevent user interaction; and self-service distributed state management, which distributes application state management to clients to avoid single points of failure in a distributed system. The patterns were found useful for Chipster, which provides bioinformatics analysis tools through a graphical interface and supports distributed computing.
This document discusses the discovery that DNA previously thought to have no value ("junk DNA") may actually play important roles in gene expression regulation. Scientists investigated junk DNA in the model plant Arabidopsis thaliana and found short, linked patterns of DNA called pyknons. This suggests a universal genetic mechanism is at play across biology that is not yet fully understood. The discovery illustrates the connection between coding and non-coding DNA and that the term "junk DNA" may need reevaluation.
EMBOSS is an open source software suite for sequence analysis. It contains over 200 applications and supports over 100 file formats. It is funded by the UK BBSRC and developed by researchers at the EBI, Sanger Institute, and other institutions. EMBOSS faced an uncertain future in 2004 when its original developers were relocated, but continued funding has allowed ongoing development and support for a worldwide user base conducting research on all continents.
BioJava is an open source Java framework for processing biological data. It provides tools for analyzing and manipulating sequences, structures, and other biological data. The latest version, BioJava 1.7, includes improved support for 3D structures and modularization into separate modules. The project aims to facilitate rapid bioinformatics application development and is supported by an active developer community.
Soaplab is a generator of web services for accessing command-line programs and other tools. It wraps hundreds of EMBOSS programs and other plugins as SOAP web services. A new release, Soaplab 2.2.0, adds support for "typed services" which define inputs and outputs using WSDL and XSD for better integration with third party tools. Developers can add new command line tools or plugins and Soaplab will generate the corresponding web services.
This document provides an update on the Biopython project. It discusses recent releases including support for new file formats like FASTQ and new modules. It outlines current and future projects including work on parsing new file types and switching from CVS to git version control. Development involves an international team through an open source model and is supported by various organizations.
The document discusses software patterns for reusable design, outlining what a software pattern is, how patterns are used within communities, and how to apply patterns to documentation, design, and development. It provides an overview of pattern concepts including what constitutes a pattern, pattern languages, and pattern communities while cautioning that patterns should not be viewed as a "turn the crank" approach to software development.
PSODA is an open-source phylogenetic search and DNA analysis package that is compatible with PAUP* and adds a scripting language to PAUP blocks to allow for advanced meta-searches. It began development in 2005 as an alternative to PAUP* that could be used for phylogenetic search, multiple alignment, and detecting natural selection. PSODA's scripting language, PSODAscript, adds functionality like decision statements, loops, and functions to PAUP blocks and allows for easy scripting of meta-searches.
This document summarizes an approach called VAMSAS that enables sharing of data like sequences, alignments, and annotations between different bioinformatics tools. It describes how VAMSAS uses a shared XML document and client library to allow tools to access and update shared data, view events in other tools, and better integrate workflows. Examples of tools like TOPALI and Jalview that could benefit from this approach are discussed.
This document describes a method for discovering composite motifs in DNA sequences. The method searches for overrepresented patterns representing transcription factor binding sites. It improves on previous methods by modeling motifs as modules that occur together, rather than as isolated patterns. The algorithm ranks predicted modules based on support, specificity and significance. It was shown to outperform other tools, particularly at realistic noise levels, due to its use of real DNA backgrounds and support-based scoring. Future work includes exploring the full Pareto front of optimal solutions and parameter interactions to improve predictions.
3) The algorithm works by first discovering short motif seeds, then extending these seeds into full length position weight matrices, and iteratively refining the matrices to discover overrepresented motifs.
The document summarizes the BioLib project, which aims to create C/C++ libraries for common biological functionality that can be accessed from multiple bioinformatics programming languages to avoid duplication of efforts. It has created bindings for several existing libraries, including Affyio, Staden IO, GSL, Rlib, and others. The project uses Git for version control, CMake for building, and SWIG for generating language bindings in an effort to maximize code reuse across languages.
This document introduces BNFinder, a Python software for reconstructing Bayesian networks and dynamic Bayesian networks from data. It uses a fast, exact algorithm to find the optimal network topology, unlike traditional Markov chain Monte Carlo methods. The software supports discrete and continuous data, different scoring functions, and datasets with perturbations. It is open source and runs efficiently on large real-world genomic and neural network examples. Future plans include parallelization and improvements to continuous variable and classification models.
The document discusses the BioHDF project which aims to develop scalable data infrastructure for bioinformatics using HDF5. It notes that next generation DNA sequencing is producing vast amounts of complex data that is challenging to analyze and compare across samples due to lack of consistent data models and structured storage. The BioHDF project seeks to address this by developing HDF5 domain extensions and tools to organize, index, annotate and access sequencing data in a way that enables more efficient analysis, visualization and exploration of results within and between samples.
This document discusses Q-normalization, a method for normalizing gene expression data. It presents parallel implementations of Q-normalization using shared memory, message passing, and GPU architectures. Benchmarking shows the GPU implementation provides a 5.5x speedup over the sequential CPU version for processing large gene expression datasets. The shared memory implementation provides a 2.9x total speedup, while the message passing version is suitable for distributed memory clusters.
ModeRNA is a software for comparative modeling of RNA 3D structures. It generated over 7,000 models of transfer RNA structures using 99 known templates. The software was developed in Python using Bio.PDB and PyCogent with a test-driven development approach. Future plans include combining analysis functions into a library to improve modeling and building more models.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
3. • Sequence motif viewer and editor for the Mac
Saturday, 27 June 2009
4. • Sequence motif viewer and editor for the Mac
• Philosophy:
• let’s make motif analysis easy enough for a biologist
Saturday, 27 June 2009
5. • Sequence motif viewer and editor for the Mac
• Philosophy:
• let’s make motif analysis easy enough for a biologist
• reuse and bundle existing tools where possible
Saturday, 27 June 2009
6. • Sequence motif viewer and editor for the Mac
• Philosophy:
• let’s make motif analysis easy enough for a biologist
• reuse and bundle existing tools where possible
• Built-in NestedMICA motif discovery suite
Saturday, 27 June 2009
7. • Sequence motif viewer and editor for the Mac
• Philosophy:
• let’s make motif analysis easy enough for a biologist
• reuse and bundle existing tools where possible
• Built-in NestedMICA motif discovery suite
• Other built-in analysis tools will hopefully follow
Saturday, 27 June 2009
14. PDF output
motif0
TTC AAA
C
A
G
GG
CA
AT
C
G
A
T
G
C
TTG
CT
GC
motif1
G
TTTGCC
CC
A
ACA
G
G
ACTTC
TG
A
AG
G
A
T
motif2
T G
CC
A A
GAT
T
G
A C
GC
A
C
T
A
T
GG
GTCA
C
TTT
ACC
GA G
motif3
AAAACT
GGC
T
CC
T
TTGGAC
G
GC
T
AC
G
A
T
motif4
TTT
C
G
AA
C
G
C
A
G
T
G
CT
A
CAG
G
A
C
G
TC T
A
A
TC
GT
CG
A
Saturday, 27 June 2009
22. Under the hood
• Written in Objective-C 2.0 (requires Leopard)
Saturday, 27 June 2009
23. Under the hood
• Written in Objective-C 2.0 (requires Leopard)
• Includes a sequence motif library xms-cocoa
Saturday, 27 June 2009
24. Under the hood
• Written in Objective-C 2.0 (requires Leopard)
• Includes a sequence motif library xms-cocoa
• Multithreaded
Saturday, 27 June 2009
25. Under the hood
• Written in Objective-C 2.0 (requires Leopard)
• Includes a sequence motif library xms-cocoa
• Multithreaded
• Works on PPC, i386, x86-64 (Universal Binary)
Saturday, 27 June 2009
26. Under the hood
• Written in Objective-C 2.0 (requires Leopard)
• Includes a sequence motif library xms-cocoa
• Multithreaded
• Works on PPC, i386, x86-64 (Universal Binary)
• LGPL licensed
Saturday, 27 June 2009
28. Future
• More analysis tools:
scanning, motif hit P-value calculation
Saturday, 27 June 2009
29. Future
• More analysis tools:
scanning, motif hit P-value calculation
• Do you have a tool you would like to have
integrated to iMotifs?
Come talk with me (or msg matias.piipari@gmail.com)
Saturday, 27 June 2009
30. Future
• More analysis tools:
scanning, motif hit P-value calculation
• Do you have a tool you would like to have
integrated to iMotifs?
Come talk with me (or msg matias.piipari@gmail.com)
• Available at http://imotifs.pearcomp.com
Saturday, 27 June 2009