Clustal X help to the Bioinformatics candidate to predicts the Multiple Sequence Alignment and Phylogenetic Analysis for given a nuber of Gene Sequences of varrious organism,and find the evolutionary relationship.
Scoring system is a set of values for qualifying the set of one residue being substituted by another in an alignment.
It is also known as substitution matrix.
Scoring matrix of nucleotide is relatively simple.
A positive value or a high score is given for a match & negative value or a low score is given for a mismatch.
Scoring matrices for amino acids are more complicated because scoring has to reflect the physicochemical properties of amino acid residues.
In this presentation, I talk about the various tools for the submission of DNA or RNA sequences into various sequence databases. The sequence submission tools talked about in this presentation are BankIt, Sequin and Webin.
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
Scoring system is a set of values for qualifying the set of one residue being substituted by another in an alignment.
It is also known as substitution matrix.
Scoring matrix of nucleotide is relatively simple.
A positive value or a high score is given for a match & negative value or a low score is given for a mismatch.
Scoring matrices for amino acids are more complicated because scoring has to reflect the physicochemical properties of amino acid residues.
In this presentation, I talk about the various tools for the submission of DNA or RNA sequences into various sequence databases. The sequence submission tools talked about in this presentation are BankIt, Sequin and Webin.
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
Sequence Alignment Pairwise alignment:- Global Alignment and Local AlignmentTwo types of alignment Progressive Programs for multiple sequence alignment BLOSUM Point accepted mutation (PAM)PAM VS BLOSUM
Module 2 Sequence similarity.
Part of bioinformatics training session "Basic Bioinformatics concepts, databases and tools" - http://www.bits.vib.be/training
Module 2 Sequence similarity.
Part of bioinformatics training session "Basic Bioinformatics concepts, databases and tools" - http://www.bits.vib.be/training
CS 23001 Computer Science II Data Structures & AbstractionPro.docxfaithxdunce63732
CS 23001 Computer Science II: Data Structures & Abstraction
Project #4
Spring 2015
Objectives:
· Develop and use a Tree ADT (n-ary)
· Apply and use tree traversal algorithms
· Manipulate trees by inserting and deleting nodes
· Apply and use STL
Problem:
Build a program profiler. Construct a program to instrument C++ source code to support program profiling.
It is often important to determine how many times a function or statement is executed. This is useful not only for debugging but for determining what parts of a program may need to be optimized. This process is called profiling. That is, a execution profile presents how many times each part of a program is executed using a given set of input data (or for some run time scenario). To compute a profile, statements need to be added to the code that keep track of how many times a function or statement is executed. The process of adding these statements is called instrumenting the code.
To implement a profiler one must first parse the source code and generate an Abstract Syntax Tree (AST) of the code. Each node of the AST describes the syntactic category of the code stored within it (function, statement, while-statement, etc.). So at the top level is a syntactic category corresponding to a program, class, or function (such as in the case of a main). Under that are sub-trees that further detail the syntactic categories of each part of the code. Such things as declarations, parameter lists, while-statement, and expression statements will describe the various parts of the program.
After the AST is generated it can then be traversed and the appropriate syntactic structures can be found that need to be instrumented. Once a construct is found, say a function, new code can be inserted that keeps track of how many times that function is executed.
The most difficult part of constructing a profiler is correctly parsing the source code. Unfortunately, C++ is notoriously difficult to parse. So here we will use a parsing tool called src2srcml. This tool reads in C++ code and marks up the code with XML tags (e.g., block, if, while, condition, name, etc). That is, the output is an AST in XML. The XML representation is called srcML (source code markup language).
A number of srcML data files are provided for the project. However, you can use your own program as input. To run srcML on wasp or hornet you will first need to set a PATH variable so the command can be found. You need to execute the command:
export PATH=/local/opt/srcml/bin:$PATH
It is best if you insert this line into your .bash_profile file in your home directory on wasp/hornet.
Then to generate the srcML file for your own code use the following:
src2srcml main.cpp -o main.cpp.xml
Use the following for a list of all options:
src2srcml --help
More information about srcML can be found at www.srcML.org including a list of all the tag names (see Getting Started). You can also download srcML if you want it on your own machine.
Your .
In this document you will find all needed informations to use the script ‘Variants_Density_Along_DNA_Sequence.R’.
This R script allow you to plot the density of variants contained in a VCF file along the DNA sequence you have annotated (Chromosome, Scaffold, Contig, Whole Genome. . . ).
Oratop is a text-based user interface tool for monitoring basic database operations in real time. This presentation will go into depth on how to use the tool and some example scenarios. It can be used for both RAC as well as single-instance database and can be used in combination with top to get a more holistic view of system performance and identify any bottlenecks
Mainframe jcl exec and dd statements part - 3janaki ram
EXEC STATEMENT(EXEC)
EXEC Statement is used to identify program name or procedure name.
Maximum we can code 255 EXEC statements in a JOB.
In EXEC statement has two kinds of parameters
Position parameter Keyword parameter
PGM TIME , COND
PROC REGION , PARM
If you not mention any thing default it takes PROC
PGM
This is a positional parameter which must be coded after EXEC with one blank. This parameter indicates the name of program (or) procedure name
Syntax
//STEPNAME EXEC PGM=REPORT (OR)
PROC = PROCEDURE NAME
PARM
It is keyword parameter and it is mainly used for passing the data to another program.
To pass input to Application program
To invoke complier option.
This is a keyword parameter at activity / step level must be coded with exec operand after PGM parameter.
This parameter allows MAX(100) characters.
To receive PARM parameter data, Cobol program must be coded with “Procedure Division Using Parameter ” option.
These parameters must be declared in the linkage section.
DATA DESCRIPTOR STATEMENT ( DD STMT)
It is used to identify files( input and output ) used in JCL
DD name act as a bridge b/w Cobol program and execution JCL
In DD statement has two kinds of parameters.
Position Parameter Keyword Parameter
* DSN,DISP
DATA SPACE,UNIT
DUMMY DCB,VOLUME
*
Position parameter at DD level used with SYSIN to pass data to Cobol programs this is known as In stream data any number of records can be passed to the program.
In stream data is used to pass values from JCL to Cobol dynamically.
To accept the values in Cobol program, we should have equivalent accept verbs.
Syntax
//SYSIN DD * ------- Entry of in stream data
100
200
/* ---------------------- End of in stream data
DATA
We can pass any thing to another program including special character
Syntax
//SYSIN DD DATA
100
/*
200
/*
DUMMY
All files are treated as End of the file
Syntax
//SYSIN DD DUMMY
NOTE
There is no input to the application all input files treated as End of the file.
DSN
Through DSN we can refer temporary / permanent file
Is a physical space or file where the records will be stored.
DISP
DISP parameter is used to identify the mode of the file.
DISP= ( STATUS, NORMAL , ABNORMAL )
TERMINATION TERMINATION
NEW DELETE DELETE
OLD KEEP KEEP
SHR CATLG CATLG
MOD UNCATLG UNCATLG
NEW Creating the data set first time
OLD Already created accessing the data set all resources are allocated exclusively . No other user can until is released by the current user. If dataset is not existing this creates.
SHR The data set can be accessed by multiple users at a time.
MOD Appending the records to the existing record
NOTE If the dataset is not existing , then MOD is assumed as NEW and writes records to the dataset.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar