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BRC - Страница 2 - Программы, инструкции

GBO-S.WS: Форум
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Guest_Dilmax_* 23 May 2017

Здравствуйте. У меня стоит BRC sequent fly. переустановил программу. Установил BRC sequent fast. работает. но не могу править карту. могу ли я перепрошить блок с программой sequent Plug and drive? спасибо.

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Guest_денис_* 31 May 2017

не подскажите, где найти инструкцию по газу на шевроле матиз?

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Александр 15 Jun 2017

Здравствуйте. У меня стоит BRC sequent fly. переустановил программу. Установил BRC sequent fast. работает. но не могу править карту. могу ли я перепрошить блок с программой sequent Plug and drive? спасибо.

К сожалению не подскажу, с BRC не работаем.

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Александр 15 Jun 2017

не подскажите, где найти инструкцию по газу на шевроле матиз?

Модель авто не имеет значения, смотрите название газового блока.

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max.mironov1 18 Jul 2017

А сами брс не подскажете где купить?

Много пересмотрел, остановился на этих http://hydravia.by/p. ye_soedineniya/ брс. Кто-нибудь использовал? Какой-то отзыв о компании и фирме хочется, чтобы не брать первое попавшееся

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Александр 30 Jul 2017

А сами брс не подскажете где купить?

Много пересмотрел, остановился на этих http://hydravia.by/p. ye_soedineniya/ брс. Кто-нибудь использовал? Какой-то отзыв о компании и фирме хочется, чтобы не брать первое попавшееся

К сожалению не подскажем. Мы с BRC не работаем.

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Lambda by seqan

Lambda Lambda: the Local Aligner for Massive Biological DatA

Lambda is a local aligner optimized for many query sequences and searches in protein space. It is compatible to BLAST, but much faster than BLAST and many other comparable tools.

Downloads are available from the sidebar on the left. Lambda is Free and open source software, so you can use it for any purpose, free of charge. However certain conditions apply when you (re-)distribute or modify Lambda, please respect the license. Also, please cite the publication if you use Lambda anywhere in your academic work. Thank you!

Publication

Lambda: the local aligner for massive biological data; Hannes Hauswedell, Jochen Singer, Knut Reinert; Bioinformatics 2014 30 (17): i349-i355; doi: 10.1093/bioinformatics/btu439

2017-06-29: Release of 1.9.3

Version 1.9.3 has just been released. It is a pre-release of the development branch and offers numerous bug-fixes, additions for taxonomic analysis, speed improvements for short sequences and a reduction of the required memory. Beyond that there are multiple usability improvements including stricter argument parsing, better exception handling and a check of the available memory against the estimated amount required so that users are warned early on if they might run out during a long run. Lambda now informs you when new versions become available so that you don't miss future updates. The index format has changed and is not compatible to previous versions.

2017-01-10: Release of 1.9.2

Version 1.9.2 has just been released. It is a pre-release of the development branch and offers new features for taxonomic analysis, including taxonomic ID retrieval and annotation, as well as taxonomic binning via computation of the lowest common ancestor (LCA) of all matches of each query sequence. More information on these features is available in the Wiki. The release also includes a lot of changes to core algorithms to improve performance, however, these are not yet active by default. Please provide feedback on the new release, especially the new features! But also bear in mind that the 1.9.* series might be less stable than 1.0.* and that you need to re-create the index files.

2017-01-09: Release of 1.0.1

Version 1.0.1 has just been released. It contains minor fixes and performance improvements. It is fully compatible to the 0.9.* and 1.0.* series.

2016-08-18: Release of 1.9.0

Version 1.9.0 has just been released. It is a pre-release of the development branch and comes with very significant performance improvements. We are not publishing any numbers, yet, because it is still in development, but you should see very big differences immediately. Of course we are interested in your feedback so please try out the new release! But also bear in mind that it might be less stable than 1.0.0 and that you need to re-create the index files.

2016-08-18: Release of 1.0.0

Version 1.0.0 has just been released. It contains minor fixes and performance improvements. It is fully compatible to the 0.9.* series.

2016-08-18: Git-History invalidated

There were some significant changes to the git repository, SeqAn is now only included as a git submodule. This means that previous clones of the git repository are no longer valid and must be force-updated or cleanly re-cloned. Clone with the --recursive parameter if you don't have SeqAn installed system-wide.

2016-04-08: Release of 0.9.4

Version 0.9.4 has just been released. It contains minor SAM/BAM fixes and additions, and it now runs on OpenBSD. Lambda can now also be built with Clang (as of version 3.8) and the Intel Compiler (as of version 16.0.2). If there are no serious bugs, this version will soon become 1.0 and development of the new feature branch will begin.

2015-12-11: Release of 0.9.3

Version 0.9.3 has just been released. This is mostly a bug-fix release. We have also added app tests and continuous integration builds to improve the quality of Lambda and spot issues more quickly. Happy holiday season to all users who are affected :-)

2015-11-27: Release of 0.9.2

Version 0.9.2 has just been released. We have implemented (long-awaited) support for the SAM and BAM formats! And documentation on the different formats and their options has been added to the wiki. The indexer now truncates sequence IDs by default which results in smaller indexes. If you use the pairwise format (.m0) you might want to change this since your output files will only contain the shortened IDs otherwise; all other formats are not effected (they truncate the IDs anyway). Head over to the releases for a full list of changes and the downloads. Updated index files will be created next week (but old indexes are compatible).

2015-10-23: Release of 0.9.1

Version 0.9.1 has just been released. There is now support for memory-mapped file access to the database which enables sharing the memory between multiple instances of LAMBDA running on the same server. Also the construction of the index now uses a different algorithm which is faster and more memory efficient. See the Changelog for details. Users who built 0.9.0 from Source, please be aware that optimizations where not turned on by default, so please update to 0.9.1 and rebuild. Users of our binaries are not affected.

2015-09-15: Indexes prebuilt for 0.9.*

There are now pre-built indexes for NR, the Uniref databases and the Uniprot databases available in the wiki.

2015-09-14: Release of 0.9.0

I am pleased to announce the availability of lambda-0.9.0 . This is the first release based off SeqAn 2.0 with many bug-fixes and new features. See the Changelog for details. Please note that the indexes created with older versions are not compatible.

Brc lambda gaz i bet

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Introduction: Building Lambda Functions - AWS Lambda

Introduction: Building Lambda Functions

You upload your application code in the form of one or more Lambda functions to AWS Lambda, a compute service, and the service can run the code on your behalf. AWS Lambda takes care of provisioning and managing the servers to run the code upon invocation.

Typically, the lifecycle for an AWS Lambda-based application includes authoring code, deploying code to AWS Lambda, and then monitoring and troubleshooting. The following are general questions that come up in each of these lifecycle phases:

Authoring code for your Lambda function – What languages are supported? Is there a programming model that I need to follow? How do I package my code and dependencies for uploading to AWS Lambda? What tools are available?

Uploading code and creating Lambda functions – How do I upload my code package to AWS Lambda? How do I tell AWS Lambda where to begin executing my code? How do I specify compute requirements like memory and timeout?

Monitoring and troubleshooting – For my Lambda function that is in production, what metrics are available? If there are any failures, how do I get logs or troubleshoot issues?

The following sections provide introductory information and the Example section at the end provides working examples for you to explore.

This topic provides an introductory overview of how you develop AWS Lambda-based applications. The How It Works section describes the specifics about Lambda functions, event sources, and how AWS Lambda executes your Lambda functions.

Authoring Code for Your Lambda Function

You can author your Lambda function code in the languages that are supported by AWS Lambda. For a list of supported languages, see Lambda Execution Environment and Available Libraries. There are tools for authoring code, such as the AWS Lambda console, Eclipse IDE, and Visual Studio IDE. But the available tools and options depend on the following:

Language you choose to write your Lambda function code.

Libraries that you use in your code. AWS Lambda runtime provides some of the libraries and you must upload any additional libraries that you use.

The following table lists languages, and the available tools and options that you can use.

AWS Lambda console

Your own authoring environment

You can use the console if the languages you choose do not require compilation, the code is saved in a single file, and it does not depend on any libraries.

Your own authoring environment

The AWS Toolkit also creates the deployment package, which is explained in Deploying Code and Creating a Lambda Function.

Your own authoring environment

The AWS Toolkit also creates the deployment package, which is explained in Deploying Code and Creating a Lambda Function.

AWS Lambda console

Your own authoring environment

You can use the console if the languages you choose do not require compilation, the code is saved in a single file, and it does not depend on any libraries.

In addition, regardless of the language you choose, there is a pattern to writing Lambda function code. For example, how you write the handler method of your Lambda function (that is, the method that AWS Lambda first calls when it begins executing the code), how you pass events to the handler, what statements you can use in your code to generate logs in CloudWatch Logs, how to interact with AWS Lambda runtime and obtain information such as the time remaining before timeout, and how to handle exceptions. The Programming Model section provides information for each of the supported languages.

After you familiarize yourself with AWS Lambda, see the Use Cases, which provide step-by-step instructions to help you explore the end-to-end experience.

Deploying Code and Creating a Lambda Function

To create a Lambda function, you first package your code and dependencies in a deployment package. Then, you upload the deployment package to AWS Lambda to create your Lambda function.

Creating a Deployment Package – Organizing Code and Dependencies

You must first organize your code and dependencies in certain ways and create a deployment package. Instructions to create a deployment package vary depending on the language you choose to author the code. For example, you can use build plugins such as Jenkins (for Node.js and Python), and Maven (for Java) to create the deployment packages. For more information, see Creating a Deployment Package.

When you create Lambda functions using the console, the console creates the deployment package for you, and then uploads it to create your Lambda function.

Uploading a Deployment Package – Creating a Lambda Function

AWS Lambda provides the CreateFunction operation, which is what you use to create a Lambda function. You can use the AWS Lambda console, AWS CLI, and AWS SDKs to create a Lambda function. Internally, all of these interfaces call the CreateFunction operation.

In addition to providing your deployment package, you can provide configuration information when you create your Lambda function including the compute requirements of your Lambda function, the name of the handler method in your Lambda function, and the runtime, which depends on the language you chose to author your code. For more information, see Lambda Functions.

This section provides an introductory overview of developing AWS Lambda-based applications. How It Works describes specifics about Lambda functions, event sources, and how AWS Lambda executes your Lambda functions.

Testing a Lambda Function

If your Lambda function is designed to process events of a specific type, you can use sample event data to test your Lambda function using one of the following methods:

Test your Lambda function in the console.

Test your Lambda function using the AWS CLI. You can use the Invoke method to invoke your Lambda function and pass in sample event data.

The console provides sample event data. The same data is also provided in the Sample Events Published by Event Sources topic, which you can use in the AWS CLI to invoke your Lambda function.

Monitoring and Troubleshooting

After your Lambda function is in production, AWS Lambda automatically monitors functions on your behalf, reporting metrics through Amazon CloudWatch. For more information, see Accessing Amazon CloudWatch Metrics for AWS Lambda.

To help you troubleshoot failures in a function, Lambda logs all requests handled by your function and also automatically stores logs that your code generates in Amazon CloudWatch Logs. For more information, see Accessing Amazon CloudWatch Logs for AWS Lambda.

AWS Lambda-Based Application Examples

This guide provides several examples with step-by-step instructions. If you are new to AWS Lambda, we recommend you try the following exercises:

Getting Started – The Getting Started exercise provides a console-based experience. The sample code is authored in Python. You can edit the code in the console, upload it to AWS Lambda, and test it using sample event data provided in the console.

Use Cases – If you cannot author your code using the console, you must create your own deployment packages and use the AWS CLI (or SDKs) to create your Lambda function. For more information, see Authoring Code for Your Lambda Function. Most examples in the Uses Cases section use the AWS CLI. If you are new to AWS Lambda, we recommend that you try one of these exercises.

Related Topics

The following topics provide additional information.

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