cobra CRM

С cobra Mobile CRM вы можете получить доступ к оперативной информации о клиентах, проектах и продажах из вашего текущего программного обеспечения cobra CRM со своего смартфона или планшета.
Вы можете просматривать и редактировать записи из центральной базы данных кобры, находясь в пути. Это упрощает подготовку к назначению клиента, ускоряет общение с головным офисом и увеличивает время и гибкость в повседневной жизни.

• Адресные данные, история контактов, ключевые слова, дополнительные данные, дневники и проекты продаж. Вся необходимая информация от cobra CRM доступна для мобильного использования
• Готовность к конфиденциальности
• Свободно определяемые маски поиска, также для дополнительных данных и свободных таблиц (только с коброй CRM PRO или коброй CRM BI)
• Отображение иерархий и адресных ссылок
• Информация и отчеты о посещениях, например, для ремонта или технического обслуживания, регистрируются на месте и обмениваются напрямую с бэк-офисом и центром управления
• Прямая запись встречи со ссылкой на соответствующую запись данных
• Подписи или изображения записываются на устройстве и сохраняются в записи
• Полная интеграция с системой авторизации кобры
• Начать навигацию по текущему адресу

Соединение с базой данных

С помощью этого приложения мы предоставляем вам подключение к нашей онлайн-демонстрационной базе данных, которая дает вам краткий обзор возможностей приложения, независимо от базовой установки кобры в компании.
Чтобы использовать приложение с вашими собственными данными и собственной инфраструктурой, свяжитесь с cobra GmbH или авторизованным партнером cobra.

Это приложение «Кобра CRM» совместимо с коброй версии 2020 R1 (20.1). Для версий кобры с 2013 R3 (16.3) по 2018 R3 (19.3) наше приложение «Кобра CRM 2018» доступно в App Store.
Для полной функциональности приложения требуется cobra CRM и серверный компонент cobra Mobile CRM, версия 2020 R1 (20.1).

Cobra программа что это

Packages

The COBRA Toolbox

The COnstraint-Based Reconstruction and Analysis (COBRA) Toolbox written in MATLAB.

Learn More

COBRApy

COBRApy is a package for constraint-based modeling of biological networks written in Python.

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COBRA.jl

High-level, high-performance, constraint-based reconstruction and analysis in Julia.

Learn More

COBRA.binary

MASS Toolbox

MATLAB.devTools

Make a contribution to any git repository from MATLAB. The devTools are cross-platform, for novice and advanced users. Contribute the smart way!

Learn More

What is COBRA?

The COnstraints Based Reconstruction and Analysis (COBRA) approach to systems biology accepts the fact that we do not possess sufficiently detailed parameter data to precisely model, in the biophysical sense, an organism at genome-scale.

Increasingly, omics data has been used to define the set of feasible states for a biological network in a given condition based on current knowledge. These constraints include compartmentalization, mass conservation, molecular crowding, and thermodynamic directionality. More recently, transcriptome data have been used to reduce the size of the set of computed feasible states.

Although COBRA methods may not provide a unique solution, they provide a reduced set of solutions that may be used to guide biological hypothesis development. Given its success, COBRA has attracted attention from many investigators and has developed rapidly in recent years based on contributions from a growing number of laboratories – COBRA methods have been used in hundreds of studies to deal with the complex relationships and high dimensionality of the next generation of COBRA models.

Representation of a stoichiometric matrix
[2785 x 3820] — Human Model Recon 1.

History

The openCOBRA project has arisen to provide researchers with easy access to core COBRA methodologies, and to provide a repository for community contributed modules that build off of these core COBRA features. The openCOBRA project was initiated with tools for MATLAB but has now grown to include Python and Julia-based modules for dealing with the complex relationships of the next generation of COBRA models.

The openCOBRA project is currently lead by Ronan Fleming from the National University of Ireland, Galway (NUIG), Nikolaus Sonnenschein from the Technical University of Denmark, and Nathan Lewis from UCSD.

Evolution of the repository of
The COBRA Toolbox (2016-2017).

How to cite an openCOBRA package?

The COBRA Toolbox

Heirendt L & Arreckx S, Pfau T, Mendoza SN, Richelle A, Heinken A, Haraldsdottir HS, Wachowiak J, Keating SM, Vlasov V, Magnusdottir S, Ng CY, Preciat G, Zagare A, Chan SHJ, Aurich MK, Clancy CM, Modamio J, Sauls JT, Noronha A, Bordbar A, Cousins B, El Assal DC, Valcarcel LV, Apaolaza I, Ghaderi S, Ahookhosh M, Ben Guebila M, Kostromins A, Sompairac N, Le HM, Ma D, Sun Y, Wang L, Yurkovich JT, Oliveira MAP, Phan PT, El Assal LP, Kuperstein I, Zinovyev A, H. Hinton S, Bryant WA, Aragon Artacho FJ, Planes FJ, Stalidzans E, Maass A, Vempala S, Hucka M, Saunders MA, Maranas CD, Lewis NE, Sauter T, Palsson BØ, Thiele I, Fleming RMT. 2019, Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0, Nature Protocols, volume 14, pages 639–702, 2019, doi.org/10.1038/s41596-018-0098-2.

Cobra framework for Go

The Cobra framework helps you write CLI programs for go. A partial list of features it offers (over flags) are:

Consistency with how most GNU/Linux CLI tools parse flags
Ability to override defaults with settings in a configuration file
Explicit flags on the command line overrides configurations
Ability to specify the configuration file as a command line flag

With extra features, Cobra is more complex compared to the flags standard library.

The few CLI programs I write in Go have the following pattern:

Describe the command line flags the program accepts
Parse the command line flags
Pass a special flag named “config” to the Viper API, which treats it as a configuration file
Merges command line flags from step 2 with parameters loaded from step 3
Uses the merged set of flags to look up program parameters

A simple case of a program that requires two parameters: Host and Port.

First, we tell main.go about a few package-level variables that we need to work with.

// Keys used to store and lookup values through the Viper API
const ( 
nameHost = "host" 
namePort = "port"
)// This must be global so it can be shared between the Cobra and Viper APIs
var config string = ""// This must be global so we can bind values parsed by Cobra to the Viper API
var rootCmd = &cobra.Command Use: "4gt", 
Short: "Query the 4gt server", 
Long: "Query the 4gt server", 
Run: cobraMain,
>

Then we tell Cobra which command line flags this program is interested in. In addition to port and host, we also accept a config file parameter so a user can be explicit about which config file to use.

func main() rootCmd.Flags().StringVar(&config, "config", "", "config file (default: $HOME/.forget.toml)") 
rootCmd.Flags().IntP(namePort, "p", 8181, "rpc port") 
rootCmd.Flags().StringP(nameHost, "H", "localhost", "rpc host") cobra.OnInitialize(cobraInit) 
if err := rootCmd.Execute(); err != nil log.Fatal(err) 
>
>

Execute() will parse the command line flags and invoke cobraInit. This part is boilerplate-y. It combines parameters from a config file with similar parameters from the command line, while allowing the config file to be overridden from the command line.

// Loads configuration files
func cobraInit() if config != "" // Use config file from the flag. 
viper.SetConfigFile(config) 
> else // Search config in home directory with name ".forget" (without extension). 
home, err := os.UserHomeDir() 
if err != nil log.Fatal(err) 
>viper.AddConfigPath(home) 
viper.SetConfigName(".forget") 
>// If a config file is found, read it in. 
if err := viper.ReadInConfig(); err != nil log.Println("Error loading config file.", err)> 
if viper.ConfigFileUsed() != "" log.Println("Using config file:", viper.ConfigFileUsed()) 
>// Bind flags from the command line to the viper framework 
if err := viper.BindPFlags(rootCmd.Flags()); err != nil log.Fatal(err) 
>
>

The last command is of note: It integrates the values from the command line (rootCmd.Flags()) into values read from the config file.

Lastly, the cobraMain() function is invoked by the Cobra framework

func cobraMain(cmd *cobra.Command, args []string) host := viper.GetString(nameHost) 
port := viper.GetInt(namePort) SendQuery(host, port, someQuery)
>

Within the cobraMain function, we access parameters from the viper API. At this point, the value of the parameter will be resolved in a well defined order:

Get the value from the command line if it is explicitly there
Otherwise, get the value from the config file if it is explicitly defined there
Otherwise, use the defaults specified from code that configured the command line parser

In short, the Cobra framework is more complex than flags. However, it gives you tight integration between a configuration file and CLI flags, which is something we’ve come to expect from command line programs.

При подготовке материала использовались источники:
https://play.google.com/store/apps/details?id=de.Xamarin.cobraMobileCRMAndroid&hl=ru
https://opencobra.github.io/
https://medium.com/@johnlicheng/cobra-framework-for-go-fc79d4a6d347