Pinned Repositories
1ibrary-front-end
一图App-前端代码
2life
💌 双生：遇见另一半的美好：）（React Native）
30-days-of-react-native
30 days of React Native demos
BlogBackup163
A simple tool to backup NetEase(163) blog ,support open blogs, draft box, private blogs, the import image in 163 blogs and etc.. support convert html to markdown.
ColorPicker
A tool to pick web/window color, help design your software.
EmuchSign
小木虫签到工具
JqueryExample
Jquey各种插件的练习笔记
mirrors.scau.edu.cn
华南农业大学开源软件镜像源站
sheep
A front-end rendering solution , support IE6, IE7, IE8 and modern browser
shumeipai
Information about Raspberry Pi 树莓派的相关资料
flyher's Repositories
flyher/accu
Mohanson's Blog
flyher/Actions-OpenWrt
自用
flyher/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
flyher/codefever
CodeFever Community Edition (A Self-hosted Git Services)
flyher/CPython-Internals
Dive into CPython internals, trying to illustrate every detail of CPython implementation | CPython 源码阅读笔记, 多图展示底层实现细节
flyher/d3js_doc
d3js v4 中文版文档
flyher/demo
flyher/dict
英语字典 英语词库 字典词库 四级单词 六级单词 考研单词 雅思 托福 SAT GMAT TOEFL GRE
flyher/genal-chat
🐱🏍阿童木聊天室 nestjs+vue全栈聊天室 前后端分离 typescript一把梭
flyher/internet-in-a-box
Humane Heritage - OLD VERSION
flyher/Knot
一款iOS端基于MITM(中间人攻击技术)实现的HTTPS抓包工具，完整的App，核心代码使用SwiftNIO实现
flyher/luxirty-search
一个搜索引擎，基于 Google，屏蔽内容农场，无广告，无跟踪，干净，简洁，快。
flyher/MiyooCFW
Custom firmware source code and resources for BittBoy, PocketGo, PowKiddy V90-Q90-Q20 and third party handheld consoles
flyher/netease-cloud-music-dl
Netease cloud music song downloader, with full ID3 metadata, eg: front cover image, artist name, album name, song title and so on.
flyher/nmrpflash
Netgear Unbrick Utility
flyher/p7zip-wasm
flyher/pineapple-src
yuzu Early Access source code
flyher/QQZoneMood
QQZone mood spider and analysis. QQ空间多线程爬虫和数据挖掘，并做了大量数据可视化。提供线上服务，扫码登陆即可自动爬取和分析数据；使用docker-compose打包程序，方便部署；额外提供QQ空间抽奖小程序。
flyher/random-prompt
flyher/rk3566-x55-kernel
Rockchip BSP kernel for PowKiddy x55
flyher/rk3566-x55-uboot
Rockchip BSP U-Boot for Powkiddy x55
flyher/SmartProxy
Firefox/Chrome browser extension. SmartProxy will automatically enable/disable proxy for the sites you visit, based on customizable patterns.
flyher/stable-diffusion-prompt-reader
A simple viewer for reading prompts from png generated by the Stable Diffusion.
flyher/steward-fu-pdf
MCU Datasheets
flyher/Tvlist-awesome-m3u-m3u8
直播源相关资源汇总 📺 💯 IPTV、M3U —— 勤洗手、戴口罩，祝愿所有人百毒不侵
flyher/WebReplay
A Magical Screen Recorder 🖥
flyher/wechat-export
📃 Export WeChat chat histories to HTML files.
flyher/WxChatRecordTool
微信聊天记录小工具
flyher/yuzu
Nintendo Switch emulator
flyher/yuzu-android