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2024-03-07 19:02:57

【评测】G-REX细胞培养系统 - 知乎

【评测】G-REX细胞培养系统 - 知乎首发于生命科学切换模式写文章登录/注册【评测】G-REX细胞培养系统漫画怪蜀黍生科笔记有用的都在这里细胞治疗是指将正常或生物工程改造过的人体细胞移植或输入患者体内，以达到治疗的目的。按治疗使用的细胞种类可以分为干细胞治疗和免疫细胞治疗两类。干细胞是具有多向分化潜能、自我更新能力的细胞，在体内能够分化产生某种特定组织的细胞。干细胞治疗一般用于治疗慢性退行性疾病。对于慢性退行性疾病，通常采取姑息疗法，即延缓疾病的进展或并发症的发生，而并不能从根本上治疗疾病。在某些情况下，可以进行器官移植；然而这种方法受到供体器官短缺的限制，并且患者需要接受长期的免疫抑制治疗。干细胞治疗通常选择患者自体的干细胞，注入患者病变部位，使用生物活性物质来诱导损伤器官再生；或者在体外培育器官或组织，用于替换损伤部位。由于采用自体干细胞，因此避免了免疫排斥的问题。免疫细胞是人体免疫系统的重要组成部分，能够识别非自身物质，并对非自身物质进行攻击。因此免疫细胞治疗一般用于治疗肿瘤。治疗肿瘤的传统方法是手术、放疗和化疗。手术对局限性肿瘤有效，不适用于弥漫性肿瘤；放疗和化疗虽然能够杀死肿瘤细胞，但是对人体的伤害过大。免疫细胞治疗的方法是采取患者自身的免疫细胞，在体外进行改造、活化及扩增，再回输到患者体内。此方法对人体伤害小且能有效杀伤肿瘤，是治疗肿瘤的有效方法。常用于细胞免疫治疗的细胞包括：CAR-T、TCR-T、TIL、NK、CIK等。然而，与淋巴细胞的分离、修饰、扩增相关的技术和安全问题是限制免疫细胞治疗的重要因素。细胞免疫治疗对于免疫活性细胞数量的要求极高。以细胞因子诱导的杀伤细胞（CIK）为例，据报道，CIK细胞治疗的剂量是每次注射108-1010个细胞。使用传统的细胞培养瓶扩增细胞，需要通过频繁操作来调整细胞浓度以及为细胞提供新鲜培养基，大大增加了污染的风险。使用透气性培养袋或生物反应器是大规模生产CIK细胞的替代方案。然而，培养袋需要大量的新鲜培养基，并且需要频繁调整细胞密度；而生物反应器则笨重、昂贵、操作复杂。与上述方法相比，G-Rex是更好的选择。与其他装置相比，G-Rex利用了培养基中营养物质的对流，而不是扩散。G-Rex的结构可以增加细胞上方培养基的深度，这提供了几乎无限的氧气和营养物质，并且稀释了代谢废物。氧气和二氧化碳的气体交换是通过放置在设备底部的透气膜发生的，从而优化了细胞的增殖和存活。Pierangle Palmerini等人证明了使用G-Rex培养CIK细胞的可行性。CIK是一种体外扩增和活化的T淋巴细胞，在扩增过程中表达CD56，并表现出T细胞和NK细胞的一些功能和表型特征。CIK与其他细胞治疗方法相比，其优势在于：①通过定时添加重组人干扰素γ、抗CD3单克隆抗体和重组人白细胞介素2，很容易从体外的外周血单个核细胞（PBMC）和脐带血中获取；②CIK细胞不需要肿瘤的抗原特异性刺激，能有效对抗实体及血液恶性肿瘤；③临床前数据表明，与T细胞相比，CIK细胞引起宿主免疫对抗疾病的风险较低，这也是CIK细胞的一大优势；④相比于NK细胞，CIK细胞的存活和活性不依赖于IL-2的联合给药，从而限制了多器官毒性的风险。作者使用G-Rex6(图1）和G-Rex6M（图2）培养PBMC，以普通的T形细胞培养瓶作为对照。G-Rex6和G-Rex6M的孔表面积相同（10 cm2），但是容量不同（G-Rex6为40 mL，G-Rex6M为100 mL）。培养条件为37℃、5% CO2 。使用X-VIVO 10 培养基（Lonza），含1% 青霉素/链霉素（Lonza）。图1 G-Rex6图2 G-Rex6M培养方法（图3）为：第0天。在G-Rex中接种PBMC，每孔2.5×106个细胞（2.5×105个细胞/cm2），加满培养基（G-Rex6加40 mL，G-Rex6M加100 mL）。加入1000 IU/mL 人干扰素γ。第1天。加入50 ng/mL 人CD3抗体。从第1天开始，每3-4天加入500 IU/mL 重组人白细胞介素2。第7天，将在G-Rex6中培养的PBMC转移至G-Rex6M中，并补充60 mL新鲜培养基和500 IU/mL 重组人白细胞介素2。第0、7、14、21、28天，检测细胞的生长、活力、表型和细胞毒活性。图3 CIK细胞培养方案图示细胞增殖结果（图4）表明，使用G-Rex6培养PBMC，并在第7天改用G-Rex6M，其细胞增殖效率显著高于其他组。 87表型分析结果（图6）表明，使用G-Rex6与G-Rex6M接替培养的方法，CIK更多表现为未致敏的初始表型，而其体外扩增的潜力正与其初始表型有关。细胞毒性实验结果（图7）表明，使用G-Rex6与G-Rex6M接替培养的方法，其对肿瘤的杀伤力与对照组相似，仅对K562肿瘤靶细胞的杀伤能力略有降低。在此研究中，在G-Rex中接种PBMC，并用临床级细胞因子刺激，产生了大量CIK细胞，而且几乎不需要技术干预，减少了与操作相关的时间和风险。使用传统方法培养细胞需要每周2次操作，调整培养体积。而使用G-Rex仅需在第7天调整1次细胞密度，并且每3-4天添加IL-2。细胞治疗产品中未成熟细胞的比例与其体外扩增潜力及随后的临床效果密切相关。使用传统方法扩增的CIK细胞已分化亚群比例较高，扩增潜力受限。而CIK细胞在G-Rex中表现出明显的未成熟表型，并且与未成熟表型相关的CD62L、CD45RA、CCR7表达显著上调，解释了CIK细胞在G-Rex中惊人的扩增潜力。CIK注入人体后，攻击肿瘤的是已分化的效应细胞；当效应细胞被消耗后，未成熟细胞分化为效应细胞，持续介导抗肿瘤反应。因此，在G-Rex中培养的CIK细胞，具有长期对抗肿瘤的能力。综上所述，使用G-Rex培养细胞，极大减少了培养操作，降低了污染风险，并且能够生产出更高比例的未成熟CIK细胞，有助于体内抗肿瘤反应的持久性；此外，G-Rex还适用于培养常规免疫细胞治疗所需的各种细胞，除了CIK细胞以外，还包括CAR-T、TCR-T、TIL、NK等细胞。与传统培养方法相比，G-Rex的优势包括：传统方法G-Rex每天操作，费时费力每周仅需补液1-2次，拒绝周末加班！培养瓶占地大，想要大规模扩增细胞却培养箱已被占满用更小的空间养更多的细胞，充分利用培养箱空间传代操作，随着细胞扩增，容器数量也不断增加一个容器内扩增细胞，无需传代图4 细胞扩增和活力统计（A）细胞数。（B）细胞扩增倍数。（C）细胞活力。图5 CIK细胞表型分析图6 CIK细胞初始/记忆表型分析图7 CIK细胞对肿瘤细胞的细胞毒活性分析参考文献Palmerini P , AD Pietà, Sommaggio R , et al. A serum-free protocol for the ex vivo expansion of Cytokine-Induced Killer cells using gas-permeable static culture flasks[J]. Cytotherapy, 2020, 22(9).G-Rex产品目录（北京泽平科技代理G-Rex系列产品，请搜索“北京泽平科技”进入咨询）货号名称底面积最大培养体积80192MG-Rex24 24孔底透气型培养板2cm2(每孔)8ml(每孔)80240MG-Rex6 6孔底透气型培养板10cm2(每孔)40ml(每孔)80040SG-Rex10 底透气型培养瓶10cm240ml80500G-Rex100 底透气型培养瓶100cm2450ml80660MG-Rex6M 6孔底透气型培养板10cm2(每孔)100ml(每孔)80110SG-Rex10M 底透气型培养瓶10cm2100ml81100G-Rex100M 底透气型培养瓶100cm21000ml85500SG-Rex500M 底透气型培养瓶500cm25000ml80110S-CSG-Rex10M CS 底透气型培养瓶10cm2100ml81100-CSG-Rex100M CS 底透气型培养瓶100cm21000ml85500S-CSG-Rex500M CS 底透气型培养瓶500cm25000ml80000EGatheRex 半自动细胞收集装置发布于 2022-12-21 09:21・IP 属地北京细胞死亡细胞细胞培养（书籍）赞同 3添加评论分享喜欢收藏申请转载文章被以下专栏收录生

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G-Rex电子竞技俱乐部_百度百科

x电子竞技俱乐部_百度百科网页新闻贴吧知道网盘图片视频地图文库资讯采购百科百度首页登录注册进入词条全站搜索帮助首页秒懂百科特色百科知识专题加入百科百科团队权威合作下载百科APP个人中心收藏查看我的收藏0有用+10G-Rex电子竞技俱乐部播报讨论上传视频中国香港电子竞技俱乐部G-Rex电子竞技俱乐部是一家总部位于中国香港的电子竞技俱乐部，成立于2017年，旗下曾拥有《英雄联盟》、《绝地求生》等电竞分部。 [1]G-Rex电子竞技俱乐部旗下《英雄联盟》分部前身为Raise Gaming，收购后更名为G-Rex。在2018年获得LMS春季赛亚军，并打进了S8全球总决赛。2020年2月，G-Rex官宣旗下《英雄联盟》分部退出2020年度PCS赛区的所有赛事。 [24]中文名G-Rex电子竞技俱乐部外文名G-Rex Gaming创办时间2017年创办地点中国香港运动项目电子竞技主要荣誉2018年LMS春季赛亚军目录1团队历史▪英雄联盟分部▪绝地求生分部2队员列表3数据统计4团队荣誉团队历史播报编辑英雄联盟分部早期历史G-Rex2016年，G-Rex电子竞技俱乐部的前身Raise Gaming（简称RG）正式建立，RG由前Taipei Berserkers部分成员组成，在ECS联赛中经过两季磨练，于2017年LMS夏季升降赛时，成功击败Team Yetti，取得夏季赛席位。进入LMS后，RG首轮几乎打出了全胜的成绩，最后以10胜4负排名常规赛第二。季后赛以1:3不敌AHQ，未能进入决赛，获得夏季赛季军。 [2-3]2017年9月，RG向LMS联盟委员会提出经营权转移申请，将2018LMS春季赛之出赛资格与经营权，由所属的锐思娱乐有限公司，全数转移给香港英皇娱乐集团旗下之英皇电竞动力有限公司，此后RG便改名为G-Rex。 [2]2017年12月，G-Rex官宣前华义Spider的打野选手Empt2y加入。 [15]2018赛季2018年LMS春季赛，G-Rex以上单PK、打野Baybay、中单Candy与Wuji、下路Stitch、辅助Koala为主的阵容在常规赛取得12胜2负排名第二，季后赛先是3:0击败MAD，随后在决赛以0:3不敌闪电狼，获得春季赛亚军。 [4]G-Rex2018夏季赛阵容2018年亚洲洲际赛，MAD作为LMS赛区的四只代表队伍之一出战，小组赛两场全负。淘汰赛中LMS赛区以0:3不敌LCK赛区。 [5]2018年LMS夏季赛，G-Rex以6胜9负排名常规赛第五，未能进入季后赛。 [6]随后的S8预选赛，G-Rex先后以3:1、3:0战胜HKA和JTeam，成为LMS的三号种子参加2018英雄联盟全球总决赛。 [7]2018年英雄联盟全球总决赛，G-Rex在入围赛的小组赛阶段4战全胜直接进入正赛。 [8]但在小组赛上，G-Rex以0胜6负排名垫底，遭到淘汰。 [9]2018年11月，G-Rex官宣打野Raise、中路Candy、下路Stitch恢复自由身份。 [16]2018年12月，G-Rex官宣2019春季赛大名单，PK选手将继续留任上单。在保留了队内原打野的基础上，从已经解散的Team Afro引入打野选手Epic。原队内中单Candy离队，轮换Wuji成为队内唯一正选中单。下路方面从业余选手中提拔Bruce入队，同时引入原AHQ战队下路选手Atlen。而在辅助方面，引入原先征战LMS赛区次级联赛的选手Eason。 [17]2019赛季G-Rex2019春季赛阵容2019年LMS春季赛，G-Rex在赛程过半时因队伍成绩不佳，宣布前中路选手Candy和前打野选手Empt2y重新回归。 [18]最终G-Rex在常规赛取得6胜8负，未能进入季后赛。 [19]2019年LMS夏季赛，G-Rex在常规赛取得5胜7负排名第五，未能进入季后赛。 [20]随后的S9预选赛，G-Rex在第一轮3:1战胜MAD，第二轮0:3不敌HKA，无缘2019英雄联盟全球总决赛。 [21]2019年11月13日，G-Rex官宣原打野选手Mountain转型担任主教练。 [22]2019年11月20日，G-Rex官宣战队总监Toyz离队，中路Candy和辅助Yoon合约结束，恢复自由人身份，中路Wuji退役。 [23]2020年2月，G-Rex官宣因经济环境严峻，旗下《英雄联盟》分部退出2020年度PCS赛区的所有赛事。 [24]绝地求生分部2018年4月，英皇电竞宣布正式成立G-Rex《绝地求生大逃杀（PlayerUnknown’s Battlegrounds）》职业电竞战队，由队长Blackwai与队员小肥、Neo及Alex组成。 [1]队员列表播报编辑英雄联盟分部队员列表游戏ID位置Kartis上单PK上单Gemini打野M1ssion中单AtlenADCBruceADCKoala辅助KL打野以上为队伍解散时最终队员列表 [25]数据统计播报编辑英雄联盟分部数据统计赛事比赛场次总击杀总阵亡总助攻胜率一血率大龙控制率2019LMS夏季赛3035640485446.7%53.3%54.8%2019LMS春季赛3739346894043.2%37.8%44.7%S8世界总决赛1417719140950.0%42.9%41.2%2018LMS夏季赛3637548692344.4%55.6%44%2018LMS春季赛36429330111772.2%41.7%59%参考资料： [10-14]团队荣誉播报编辑英雄联盟分部团队荣誉（不完全统计）年份赛事成绩2018年LMS春季赛亚军英雄联盟全球总决赛十六强参考资料： [4] [9]新手上路成长任务编辑入门编辑规则本人编辑我有疑问内容质疑在线客服官方贴吧意见反馈投诉建议举报不良信息未通过词条申诉投诉侵权信息封禁查询与解封©2024 Baidu 使用百度前必读 | 百科协议 | 隐私政策 | 百度百科合作平台 | 京ICP证030173号京公网安备110000020000

GitHub - pemistahl/grex: A command-line tool and Rust library with Python bindings for generating regular expressions from user-provided test cases

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A command-line tool and Rust library with Python bindings for generating regular expressions from user-provided test cases

pemistahl.github.io/grex-js/

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1. What does this tool do?

grex is a library as well as a command-line utility that is meant to simplify the often

complicated and tedious task of creating regular expressions. It does so by automatically

generating a single regular expression from user-provided test cases. The resulting

expression is guaranteed to match the test cases which it was generated from.

This project has started as a Rust port of the JavaScript tool

regexgen written by

Devon Govett. Although a lot of further useful features

could be added to it, its development was apparently ceased several years ago. The plan

is now to add these new features to grex as Rust really shines when it comes to

command-line tools. grex offers all features that regexgen provides, and more.

The philosophy of this project is to generate the most specific regular expression

possible by default which exactly matches the given input only and nothing else.

With the use of command-line flags (in the CLI tool) or preprocessing methods

(in the library), more generalized expressions can be created.

The produced expressions are Perl-compatible regular expressions which are also

compatible with the regular expression parser in Rust's regex crate.

Other regular expression parsers or respective libraries from other programming languages

have not been tested so far, but they ought to be mostly compatible as well.

2. Do I still need to learn to write regexes then?

Definitely, yes! Using the standard settings, grex produces a regular expression that is guaranteed

to match only the test cases given as input and nothing else.

This has been verified by property tests.

However, if the conversion to shorthand character classes such as \w is enabled, the resulting regex matches

a much wider scope of test cases. Knowledge about the consequences of this conversion is essential for finding

a correct regular expression for your business domain.

grex uses an algorithm that tries to find the shortest possible regex for the given test cases.

Very often though, the resulting expression is still longer or more complex than it needs to be.

In such cases, a more compact or elegant regex can be created only by hand.

Also, every regular expression engine has different built-in optimizations. grex does not know anything

about those and therefore cannot optimize its regexes for a specific engine.

So, please learn how to write regular expressions! The currently best use case for grex is to find

an initial correct regex which should be inspected by hand if further optimizations are possible.

3. Current Features

literals

character classes

detection of common prefixes and suffixes

detection of repeated substrings and conversion to {min,max} quantifier notation

alternation using | operator

optionality using ? quantifier

escaping of non-ascii characters, with optional conversion of astral code points to surrogate pairs

case-sensitive or case-insensitive matching

capturing or non-capturing groups

optional anchors ^ and $

fully compliant to Unicode Standard 15.0

fully compatible with regex crate 1.9.0+

correctly handles graphemes consisting of multiple Unicode symbols

reads input strings from the command-line or from a file

produces more readable expressions indented on multiple using optional verbose mode

optional syntax highlighting for nicer output in supported terminals

4. How to install?

4.1 The command-line tool

You can download the self-contained executable for your platform above and put it in a place of your choice.

Alternatively, pre-compiled 64-Bit binaries are available within the package managers Scoop

(for Windows), Homebrew (for macOS and Linux), MacPorts (for macOS), and Huber (for macOS, Linux and Windows).

Raúl Piracés has contributed a Chocolatey Windows package.

grex is also hosted on crates.io,

the official Rust package registry. If you are a Rust developer and already have the Rust

toolchain installed, you can install by compiling from source using

cargo, the Rust package manager.

So the summary of your installation options is:

4.2 The library

In order to use grex as a library, simply add it as a dependency to your Cargo.toml file:

[dependencies]

grex = { version = "1.4.5", default-features = false }

The dependency clap is only needed for the command-line tool.

By disabling the default features, the download and compilation of clap is prevented for the library.

5. How to use?

Detailed explanations of the available settings are provided in the library section.

All settings can be freely combined with each other.

5.1 The command-line tool

Test cases are passed either directly (grex a b c) or from a file (grex -f test_cases.txt).

grex is able to receive its input from Unix pipelines as well, e.g. cat test_cases.txt | grex -.

The following table shows all available flags and options:

$ grex -h

grex 1.4.5

Licensed under the Apache License, Version 2.0

Downloadable from https://crates.io/crates/grex

Source code at https://github.com/pemistahl/grex

grex generates regular expressions from user-provided test cases.

Usage: grex [OPTIONS] {INPUT...|--file }

Input:

[INPUT]... One or more test cases separated by blank space

-f, --file Reads test cases on separate lines from a file

Digit Options:

-d, --digits Converts any Unicode decimal digit to \d

-D, --non-digits Converts any character which is not a Unicode decimal digit to \D

Whitespace Options:

-s, --spaces Converts any Unicode whitespace character to \s

-S, --non-spaces Converts any character which is not a Unicode whitespace character to \S

Word Options:

-w, --words Converts any Unicode word character to \w

-W, --non-words Converts any character which is not a Unicode word character to \W

Escaping Options:

-e, --escape Replaces all non-ASCII characters with unicode escape sequences

--with-surrogates Converts astral code points to surrogate pairs if --escape is set

Repetition Options:

-r, --repetitions

Detects repeated non-overlapping substrings and converts them to {min,max} quantifier

notation

--min-repetitions

Specifies the minimum quantity of substring repetitions to be converted if --repetitions

is set [default: 1]

--min-substring-length

Specifies the minimum length a repeated substring must have in order to be converted if

--repetitions is set [default: 1]

Anchor Options:

--no-start-anchor Removes the caret anchor `^` from the resulting regular expression

--no-end-anchor Removes the dollar sign anchor `$` from the resulting regular expression

--no-anchors Removes the caret and dollar sign anchors from the resulting regular

expression

Display Options:

-x, --verbose Produces a nicer-looking regular expression in verbose mode

-c, --colorize Provides syntax highlighting for the resulting regular expression

Miscellaneous Options:

-i, --ignore-case Performs case-insensitive matching, letters match both upper and lower case

-g, --capture-groups Replaces non-capturing groups with capturing ones

-h, --help Prints help information

-v, --version Prints version information

5.2 The library

5.2.1 Default settings

Test cases are passed either from a collection via RegExpBuilder::from()

or from a file via RegExpBuilder::from_file().

If read from a file, each test case must be on a separate line. Lines may be ended with either a newline \n or a carriage

return with a line feed \r\n.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["a", "aa", "aaa"]).build();

assert_eq!(regexp, "^a(?:aa?)?$");

5.2.2 Convert to character classes

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["a", "aa", "123"])

.with_conversion_of_digits()

.with_conversion_of_words()

.build();

assert_eq!(regexp, "^(\\d\\d\\d|\\w(?:\\w)?)$");

5.2.3 Convert repeated substrings

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["aa", "bcbc", "defdefdef"])

.with_conversion_of_repetitions()

.build();

assert_eq!(regexp, "^(?:a{2}|(?:bc){2}|(?:def){3})$");

By default, grex converts each substring this way which is at least a single character long

and which is subsequently repeated at least once. You can customize these two parameters if you like.

In the following example, the test case aa is not converted to a{2} because the repeated substring

a has a length of 1, but the minimum substring length has been set to 2.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["aa", "bcbc", "defdefdef"])

.with_conversion_of_repetitions()

.with_minimum_substring_length(2)

.build();

assert_eq!(regexp, "^(?:aa|(?:bc){2}|(?:def){3})$");

Setting a minimum number of 2 repetitions in the next example, only the test case defdefdef will be

converted because it is the only one that is repeated twice.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["aa", "bcbc", "defdefdef"])

.with_conversion_of_repetitions()

.with_minimum_repetitions(2)

.build();

assert_eq!(regexp, "^(?:bcbc|aa|(?:def){3})$");

5.2.4 Escape non-ascii characters

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["You smell like ."])

.with_escaping_of_non_ascii_chars(false)

.build();

assert_eq!(regexp, "^You smell like \\u{1f4a9}\\.$");

Old versions of JavaScript do not support unicode escape sequences for the astral code planes

(range U+010000 to U+10FFFF). In order to support these symbols in JavaScript regular

expressions, the conversion to surrogate pairs is necessary. More information on that matter

can be found here.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["You smell like ."])

.with_escaped_non_ascii_chars(true)

.build();

assert_eq!(regexp, "^You smell like \\u{d83d}\\u{dca9}\\.$");

5.2.5 Case-insensitive matching

The regular expressions that grex generates are case-sensitive by default.

Case-insensitive matching can be enabled like so:

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["big", "BIGGER"])

.with_case_insensitive_matching()

.build();

assert_eq!(regexp, "(?i)^big(?:ger)?$");

5.2.6 Capturing Groups

Non-capturing groups are used by default.

Extending the previous example, you can switch to capturing groups instead.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["big", "BIGGER"])

.with_case_insensitive_matching()

.with_capturing_groups()

.build();

assert_eq!(regexp, "(?i)^big(ger)?$");

5.2.7 Verbose mode

If you find the generated regular expression hard to read, you can enable verbose mode.

The expression is then put on multiple lines and indented to make it more pleasant to the eyes.

use grex::RegExpBuilder;

use indoc::indoc;

let regexp = RegExpBuilder::from(&["a", "b", "bcd"])

.with_verbose_mode()

.build();

assert_eq!(regexp, indoc!(

r#"

(?x)

(?:

)

$"#

));

5.2.8 Disable anchors

By default, the anchors ^ and $ are put around every generated regular expression in order

to ensure that it matches only the test cases given as input. Often enough, however, it is

desired to use the generated pattern as part of a larger one. For this purpose, the anchors

can be disabled, either separately or both of them.

use grex::RegExpBuilder;

let regexp = RegExpBuilder::from(&["a", "aa", "aaa"])

.without_anchors()

.build();

assert_eq!(regexp, "a(?:aa?)?");

5.3 Examples

The following examples show the various supported regex syntax features:

$ grex a b c

^[a-c]$

$ grex a c d e f

^[ac-f]$

$ grex a b x de

^(?:de|[abx])$

$ grex abc bc

^a?bc$

$ grex a b bc

^(?:bc?|a)$

$ grex [a-z]

^\[a\-z\]$

$ grex -r b ba baa baaa

^b(?:a{1,3})?$

$ grex -r b ba baa baaaa

^b(?:a{1,2}|a{4})?$

$ grex y̆ a z

^(?:y̆|[az])$

Note:

Grapheme y̆ consists of two Unicode symbols:

U+0079 (Latin Small Letter Y)

U+0306 (Combining Breve)

$ grex "I ♥ cake" "I ♥ cookies"

^I ♥ c(?:ookies|ake)$

Note:

Input containing blank space must be

surrounded by quotation marks.

The string "I ♥♥♥ 36 and ٣ and ." serves as input for the following examples using the command-line notation:

$ grex

^I ♥♥♥ 36 and ٣ and \.$

$ grex -e

^I \u{2665}\u{2665}\u{2665} 36 and \u{663} and \u{1f4a9}\u{1f4a9}\.$

$ grex -e --with-surrogates

^I \u{2665}\u{2665}\u{2665} 36 and \u{663} and \u{d83d}\u{dca9}\u{d83d}\u{dca9}\.$

$ grex -d

^I ♥♥♥ \d\d and \d and \.$

$ grex -s

^I\s♥♥♥\s36\sand\s٣\sand\s\.$

$ grex -w

^\w ♥♥♥ \w\w \w\w\w \w \w\w\w \.$

$ grex -D

^\D\D\D\D\D\D36\D\D\D\D\D٣\D\D\D\D\D\D\D\D$

$ grex -S

^\S \S\S\S \S\S \S\S\S \S \S\S\S \S\S\S$

$ grex -dsw

^\w\s♥♥♥\s\d\d\s\w\w\w\s\d\s\w\w\w\s\.$

$ grex -dswW

^\w\s\W\W\W\s\d\d\s\w\w\w\s\d\s\w\w\w\s\W\W\W$

$ grex -r

^I ♥{3} 36 and ٣ and {2}\.$

$ grex -er

^I \u{2665}{3} 36 and \u{663} and \u{1f4a9}{2}\.$

$ grex -er --with-surrogates

^I \u{2665}{3} 36 and \u{663} and (?:\u{d83d}\u{dca9}){2}\.$

$ grex -dgr

^I ♥{3} \d(\d and ){2}{2}\.$

$ grex -rs

^I\s♥{3}\s36\sand\s٣\sand\s{2}\.$

$ grex -rw

^\w ♥{3} \w(?:\w \w{3} ){2}{2}\.$

$ grex -Dr

^\D{6}36\D{5}٣\D{8}$

$ grex -rS

^\S \S(?:\S{2} ){2}\S{3} \S \S{3} \S{3}$

$ grex -rW

^I\W{5}36\Wand\W٣\Wand\W{4}$

$ grex -drsw

^\w\s♥{3}\s\d(?:\d\s\w{3}\s){2}{2}\.$

$ grex -drswW

^\w\s\W{3}\s\d(?:\d\s\w{3}\s){2}\W{3}$

6. How to build?

In order to build the source code yourself, you need the

stable Rust toolchain installed on your machine

so that cargo, the Rust package manager is available.

Please note: Rust >= 1.70.0 is required to build the CLI. For the library part, Rust < 1.70.0 is sufficient.

git clone https://github.com/pemistahl/grex.git

cd grex

cargo build

The source code is accompanied by an extensive test suite consisting of unit tests, integration

tests and property tests. For running them, simply say:

cargo test

Benchmarks measuring the performance of several settings can be run with:

cargo bench

7. Python extension module

With the help of PyO3 and

Maturin, the library has been compiled to a

Python extension module so that it can be used within any Python software as well.

It is available in the Python Package Index and can

be installed with:

pip install grex

To build the Python extension module yourself, create a virtual environment and install

Maturin.

python -m venv /path/to/virtual/environment

source /path/to/virtual/environment/bin/activate

pip install maturin

maturin build

The Python library contains a single class named RegExpBuilder that can be imported like so:

from grex import RegExpBuilder

8. WebAssembly support

This library can be compiled to WebAssembly (WASM) which allows to use grex

in any JavaScript-based project, be it in the browser or in the back end running on Node.js.

The easiest way to compile is to use wasm-pack. After the installation,

you can, for instance, build the library with the web target so that it can be directly used in the browser:

wasm-pack build --target web

This creates a directory named pkg on the top-level of this repository, containing the compiled wasm files

and JavaScript and TypeScript bindings. In an HTML file, you can then call grex like the following, for instance:

There are also some integration tests available both for Node.js and for the browsers Chrome, Firefox and Safari.

To run them, simply say:

wasm-pack test --node --headless --chrome --firefox --safari

If the tests fail to start in Safari, you need to enable Safari's web driver first by running:

sudo safaridriver --enable

The output of wasm-pack will be hosted in a separate repository which

allows to add further JavaScript-related configuration, tests and documentation. grex will then be added to the

npm registry as well, allowing for an easy download and installation within every JavaScript

or TypeScript project.

There is a demo website available where you can give grex a try.

9. How does it work?

A deterministic finite automaton (DFA)

is created from the input strings.

The number of states and transitions between states in the DFA is reduced by applying

Hopcroft's DFA minimization algorithm.

The minimized DFA is expressed as a system of linear equations which are solved with

Brzozowski's algebraic method,

resulting in the final regular expression.

10. What's next for version 1.5.0?

Take a look at the planned issues.

11. Contributions

In case you want to contribute something to grex, I encourage you to do so.

Do you have ideas for cool features? Or have you found any bugs so far?

Feel free to open an issue or send a pull request. It's very much appreciated. :-)

About

A command-line tool and Rust library with Python bindings for generating regular expressions from user-provided test cases

pemistahl.github.io/grex-js/

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x-cmd pkg | grex - 用于生成正则表达的命令行工具 - 知乎

x-cmd pkg | grex - 用于生成正则表达的命令行工具 - 知乎首发于pkg切换模式写文章登录/注册x-cmd pkg | grex - 用于生成正则表达的命令行工具x-cmd命令行管理工具简介grex 是一个旨在简化创作正则表达式的复杂且繁琐任务的库和命令行程序。这个项目最初是 Devon Govett 编写的 JavaScript 工具 regexgen 的 Rust 移植。但 regexgen 在几年前停止了开发。现在grex提供了 regexgen 提供的所有功能，还增加了许多新的功能。首次用户使用 x grex 即可自动下载并使用在终端运行 eval "$(curl https://get.x-cmd.com)" 即可完成 x 命令安装, 详情参考 x-cmd 官网 x-cmd 提供1分钟教程，其中包含了 grex 命令常用功能的 demo 示例，可以帮你快速上手 grex 。使用案例:grex-1min-cn# 生成字母 a-f 的正则表达式

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# 将所有 Unicode 十进制数字转换为 \d

x grex -d "bc" "111"

# 将所有不是 Unicode 十进制数字的字符转换为 \D

x grex -D bc "111"

# 将所有 Unicode 空格字符转换为 \s

x grex -cs "bc" "bc das"

# 将所有 Unicode 字符转换为 \w

x grex -cw "%c*" "bc das"

# 检测重复的非重叠子字符串并将其转换为量词表示法

x grex -cr "%2c*" "bbc DDdas"

# 在详细模式下生成外观更好的正则表达式，以及语法突显

x grex -cxr "bbc DDdas" "123"生成的正则表达式与 perl 和 rust 兼容生成的表达式与 Perl兼容，也与 Rust 的 regex crate 中的正则表达式解析器(1.9.0 或更高版本)兼容。其他正则表达式解析器或其他编程语言的相应库尚未经过测试支持 Unicode 符号完全符合 Unicode 标准15.0能正确处理由多个 Unicode 符号组成的图形元素友好的用户体验自动生成正则表达式：只需提供输入，grex 默认生成最具体的正则表达式，并与给定的输入完全匹配。使用详细模式生成在多个上缩进的更具可读性的表达式语法高亮显示，在支持的终端中提供更好的显示输出。发布于 2024-01-31 10:37・IP 属地广东RegEx正则表达式Rust（编程语言）赞同 1添加评论分享喜欢收藏申请转载文章被以下专栏收录pkgx-cmd

GTEx数据库简介（1） - 知乎

GTEx数据库简介（1） - 知乎切换模式写文章登录/注册GTEx数据库简介（1）HuaMD医学大数据分享医学大数据知识----医学大数据及其综合分析（四）Hua+医学大数据出品（转载请注明出处链接，翻版必究）（HuaPlusMD通过整合多种人类和动物数据库，建立了可靠的大数据库，为您提供疾病动物模型和临床大数据综合分析。链接：https://www.huaplusmd.com）前言：“大数据”概念早已出现，目前我们对（医学）大数据了解有多少呢？本平台将对医学大数据进行系统的介绍，并对大数据综合分析进行分享（每周更新）。分享的内容将主要涵盖大数据库（基因、蛋白数据库等）/生物银行介绍（UK Biobank, Finnish Biobanks, China Kadoorie Biobank, BioBank Japan, TCGA, GWAS catalog，GTEx等），疾病动物模型数据库（如GeneNetwork, BXD），大数据库的综合使用（如Mendelian randomization），组学数据分析等。（分享的其他系列内容请见：https://www.huaplusmd.com/knowledge）每个个体的不同的器官组织的基因（Gene）都是相同的，但为什么有的表型为肝脏组织，帮助人类代谢？有的是肌肉组织，帮助人类运动？其原因是，不同的人体组织表达的基因并不相同。GTEx项目，通过收集健康人体的不同组织样本，尝试了解人类不同组织/器官的特异性基因表达。从本期开始，我们将介绍GTEx数据库。这是一个值得大家深度学习的数据库。GTEx项目，全称Genotype-Tissue Expression (基因型-组织表达) ，主要由美国NIH（国立卫生研究院）的公共基金计划连续资助了10年（2010-2019）的项目。（特别希望我国也能支持，这种长期的大队列的人体基础研究，能使非敏感数据开源，接受国际同行的评议。功在当代、利在千秋！） GTEx项目是用来研究人类不同组织的特异性基因表达和调节的。GTEx 项目最终的数据库（第八版，V8），包括来自于838位生前健康的人类捐献者的DNA数据（包含Whole Genome Sequencing (WGS) 和 Whole Exome Sequencing (WES)）；17382 份RNA-seq 数据，其来自于近1000个人类个体，涵盖54个不同组织器官部位（目前世界唯一能收集这么全的健康人体组织样本）；以及2个来自捐献者血液和皮肤的细胞系。该数据库应用：· 评价不同组织特异性基因表达和调节；· 进行GWAS研究 (genome-wide association study)；· 可以用来探索遗传变异对复杂疾病和特征的影响。应用举例：GTEx的研究人员，通过GTEx数据库，设计一种统计方法，称为PrediXcan，该方法能够通过基因序列，推测基因的活性或表达量；然后，PrediXcan能够将推测的基因活性和观测到的疾病特征相关联，从而预测疾病。PrediXcan已经成功地发现与多种疾病相关的特异基因，这些疾病包括冠状动脉疾病、克罗恩病、类风湿性关节炎、 1 型糖尿病和双相情感障碍。该项目创建了GTEx Portal（https://gtexportal.org/home/），该平台提供开放获取的数据，包括基因表达、QTLs 及生理组织学图片。 GTEx项目，也同时建立了自己的生物银行（https://gtexportal.org/home/biobank），包含来自约960位生前健康的捐赠者的组织标本的，包括肺脏、脑、胰腺、皮肤等等。如果需要，还可以申请获取留存的生物样本。GTEx联盟，在世界顶刊上Science, Nature上发表的代表性文章列表：· 2015年，GTEx项目发布了第一个阶段性成果，一次性在Science上发表3篇研究成果：The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humansThe GTEx Consortium.Science. 8 May 2015. 348(6235):648-660. doi:10.1126/science. PMID: 25954001 The human transcriptome across tissues and individualsMelé M, Ferreira PG, Reverter F, DeLuca DS, Monlong J et al.Science. 8 May 2015. 348(6235):660-665. doi: 10.1126/science.aaa0355 Effect of predicted protein-truncating genetic variants on the human transcriptomeRivas MA, Pirinen M, Conrad DF, Lek M, Tsang EK et al.Science. 8 May 2015. 348(6235):666-669. doi:10.1126/science.1261877. · 2017年，GTEx项目发布了进一步成果，一次性在Nature发表4篇研究成果:Genetic effects on gene expression across human tissuesThe GTEx Consortium.Nature. 12 Oct 2017. 550: 204-213. Epub 11 Oct 2017. doi:10.1038/nature24277The impact of rare variation on gene expression across tissuesLi X, Kim Y, Tsang EK, Davis JR, Damani FN et al.Nature. 12 Oct 2017. 550: 239-243. Epub 11 Oct 2017. doi:10.1038/nature24267Landscape of X chromosome inactivation across human tissuesTukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL et al.Nature. 12 Oct 2017. 550: 244-248. Epub 11 Oct 2017. doi:10.1038/nature24265Dynamic landscape and regulation of RNA editing in mammalsTan MH, Li Q, Shanmugam R, Piskol R, Kohler J et al.Nature. 12 Oct 2017. 550:249-254. Epub 11 Oct 2017. doi:10.1038/nature24041· 2019-2022年，GTEx项目又连续发布了项目的成果，在Science发表7篇研究成果:2022Single-nucleus cross-tissue molecular reference maps toward understanding disease gene functionEraslan G, et al.Science. 376 (abl4290), 13 May 2022. doi:10.1126/science.abl42902020The GTEx Consortium atlas of genetic regulatory effects across human tissuesThe GTEx Consortium.Science. 369 (1318-1330), 10 Sep 2020. doi:10.1126/science.aaz1776Cell type specific genetic regulation of gene expression across human tissuesKim-Hellmuth* S, Aguet* F, Oliva M, Muñoz-Aguirre M, Kasela S, et al.Science. 369 (eaaz8528), 10 Sep 2020. doi:10.1126/science.aaz8528Transcriptomic signatures across human tissues identify functional rare genetic variationFerraro* NM, Strober* BJ, Einson J, Abell NS, Aguet F, et al.Science. 369 (aaz5900), 10 Sep 2020. doi:10.1126/science.aaz5900Determinants of telomere length across human tissuesDemanelis K, Jasmine F, Chen LS, Chernoff M, Tong L, et al.Science. 369 (aaz6876), 10 Sep 2020. doi:10.1126/science.aaz6876The impact of sex on gene expression across human tissuesOliva* M, Muñoz-Aguirre* M, Kim-Hellmuth* S, Wucher V, Gewirtz ADH, et al.Science. 369 (aba3066), 10 Sep 2020. doi:10.1126/science.aba30662019RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissuesYizhak K, Aguet F, Kim J, Hess JM, Kübler K et al.Science. 07 June 2019. 364(6444). doi:10.1126/science.aaw0726 如果你可以看youtube视频，可以看一下Prof. Eric Lander (Funding director, Broad Institute) 等对GTEx的简单介绍：https://www.youtube.com/watch?v=PhK186A7Ryo---end---—如果喜欢，快分享给你的朋友们吧—关注公众号，更多精彩内容等着你！原文链接：https://www.huaplusmd.com/knowledgeHua+医学大数据出品（医学大数据综合分析，HuaPlusMD坚持专业和认真）。如果您有医学大数据综合分析方面需求欢迎联系我们：https://www.huaplusmd.com/往期回顾：医学大数据及其综合分析（总纲）医学大数据及其综合分析（一）—— GEO数据库介绍 (1)医学大数据及其综合分析（一）—— GEO数据库介绍 (2)医学大数据及其综合分析（二）—— BXD小鼠数据库介绍 (1)医学大数据及其综合分析（二）—— BXD小鼠数据库/GeneNetwork介绍 (2)医学大数据及其综合分析（二）—— BXD小鼠数据库/GeneNetwork介绍 (3)医学大数据及其综合分析（二）—— BXD小鼠数据库/GeneNetwork介绍 (4)医学大数据及其综合分析（三）—— eQTLGen Consortium数据库简介（1）医学大数据及其综合分析（三）—— eQTLGen Consortium数据库简介（2）医学大数据及其综合分析（X）—— 实例分析1：中年发福：人体代谢率不背此锅新冠肺炎（COVID-19）的致死率参考文献：[1] https://commonfund.nih.gov/GTex.[2] https://gtexportal.org/home/发布于 2022-10-24 04:27大数据赞同 182 条评论分享喜欢收藏申请

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【开源中国 APP 全新上线】“动弹” 回归、集成大模型对话、畅读技术报告

Table of Contents

What does this tool do?

Do I still need to learn to write regexes then?

Current features

How to install?

4.1 The command-line tool

4.2 The library

How to use?

5.1 The command-line tool

5.2 The library

5.3 Examples

How to build?

How does it work?

Contributions

1. What does this tool do? Top ▲