Data submissions and archiving raw data in life sciences. A pilot with Proteomics Data
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European Life Sciences Infrastructure for Biological Information aims to provide data infrastructure for biological information sharing. It is running a pilot project with proteomics data to enable standardized submission and dissemination of data between major proteomics resources like PRIDE and PeptideAtlas. The pilot allows direct archiving of raw proteomics data in PRIDE for the first time. It uses the EUDAT program for data storage and access and ProteomeXchange as a framework to link proteomics databases together. The goal is to prepare for the rapid growth of life sciences data and keep up with processing and storing the large volumes of raw data being generated.
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THE “PERFECT” DATABASE
IDENTIFIERS and ACCESSION NUMBER
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Slides were prepared for the Bioinformatics seminar 2016, Institute of Computer Science, University of Tartu.
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HISTORY
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- Biological databases can be classified by data type, source, maintenance status, design, organism, and access permissions.
- Primary databases directly house experimental data, while secondary databases add value through analysis and integration.
- Formats like flat files were adopted for data exchange between major nucleotide sequence databases.
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http://www.biomedweb.info/2007/
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Proteomics is the large-scale study of proteins, including their functions and structures. It can identify potential new drug targets and biomarkers for diseases like Alzheimer's and heart disease. Proteomics gives a better understanding of organisms than genomics alone, as it accounts for post-translational modifications, protein complexes, degradation rates, and different protein expression under various conditions. Key applications of proteomics include discovering protein biomarkers for disease diagnosis, studying tumor metastasis and cancers, investigating neurotrauma and neurological diseases, and profiling autoimmune responses. However, challenges remain around validating biomarkers, managing large proteomics datasets, and identifying the most important proteins and peptides.
Radiomics Data Management, Computation, and Analysis for QIN F2F 2016
Large Scale Data Management Computation and Analysis for Quantitative Imaging Research
Talk at the 2016 QIN Annual Meeting — covers resources developed for the Quantitative Imaging Network. Includes TCIA data curation, APIs, supported data types, as well as co-located computing and systematic phenotyping of imaging biomarkers
Quantitative Medicine Feb 2009
1) Quantitative medicine uses large amounts of medical data and advanced analytics to determine the most effective treatment for individual patients based on their specific clinical profile and biomarkers. This approach can help reduce healthcare costs and improve outcomes compared to the traditional one-size-fits-all model.
2) However, realizing the promise of quantitative personalized medicine is challenging due to the huge quantities of diverse medical data located in dispersed systems, lack of computing capabilities, and barriers to data sharing.
3) Grid and service-oriented computing approaches are helping to address these challenges by enabling federated querying, analysis, and sharing of medical data and services across organizations through virtual integration rather than true consolidation.
Practical semantics in the pharmaceutical industry - the Open PHACTS project
Practical semantics in the pharmaceutical industry - the Open PHACTS projectUS Environmental Protection Agency (EPA), Center for Computational Toxicology and Exposure
The information revolution has transformed many business sectors over the last decade and the pharmaceutical industry is no exception. Developments in scientific and information technologies have unleashed an avalanche of content on research scientists who are struggling to access and filter this in an efficient manner. Furthermore, this domain has traditionally suffered from a lack of standards in how entities, processes and experimental results are described, leading to difficulties in determining whether results from two different sources can be reliably compared. The need to transform the way the life-science industry uses information has led to new thinking about how companies should work beyond their firewalls. In this talk we will provide an overview of the traditional approaches major pharmaceutical companies have taken to knowledge management and describe the business reasons why pre-competitive, cross-industry and public-private partnerships have gained much traction in recent years. We will consider the scientific challenges concerning the integration of biomedical knowledge, highlighting the complexities in representing everyday scientific objects in computerised form. This leads us to discuss how the semantic web might lead us to a long-overdue solution. The talk will be illustrated by focusing on the EU-Open PHACTS initiative (openphacts.org), established to provide a unique public-private infrastructure for pharmaceutical discovery. The aims of this work will be described and how technologies such as just-in-time identity resolution, nanopublication and interactive visualisations are helping to build a powerful software platform designed to appeal to directly to scientific users across the public and private sectors.dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024
Presenter: Sanchita Bhattacharya, ImmPort Science Program Lead, Bakar Computational Health Sciences Institute UCSF
Abstract
The Immunology Database and Analysis Portal (ImmPort, https://www.immport.org/home) is a domain-specific data repository for immunology-related data which is funded by the National Institutes of Health, National Institute of Allergy and Infectious Diseases, and Division of Allergy, Immunology, and Transplantation. ImmPort has been making scientific data Findable, Accessible, Interoperable, and Reusable (FAIR) for over 20 years. ImmPort data sets encompass over 7 million experimental results across 160 diseases and conditions, including data related to diabetes, kidney and liver transplantation, celiac disease, and many more conditions. In this webinar, participants will learn about data management and sharing through ImmPort, as well as finding and leveraging data sets of interest for research.
The top 3 key questions that the ImmPort can answer:
1. How can researchers share data through ImmPort to comply with the NIH Data Management and Sharing policy?
2. How does ImmPort support FAIR data and why is this powerful for research?
3. What scientific data does ImmPort house that would be of interest to NIDDK researchers?
Upcoming webinars schedule: https://dknet.org/about/webinar
Reuse of public proteomics data
Lecture about public proteomics data reuse for the Wellcome Trust Proteomics Bioinformatics Course 2015
NY Prostate Cancer Conference - P.A. Fearn - Session 1: Data management for p...
NY Prostate Cancer Conference - P.A. Fearn - Session 1: Data management for p...European School of Oncology
This document discusses data management requirements for predictive modeling using large datasets from multiple clinical, specimen, and lab repositories. It notes the need to assemble complete and up-to-date datasets while maintaining quality assurance and transparency. Over time, data storage systems experience problems with exponential data growth, manual data curation difficulties, and challenges integrating heterogeneous databases across different research groups. The document examines a spectrum of potential data management approaches and highlights collaborative networks and use of open source platforms as ways to address these issues.Similar to Data submissions and archiving raw data in life sciences. A pilot with Proteomics Data (20)
ProteomeXchange: data deposition and data retrieval made easy
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Data Integration vs Transparency: Tackling the tension
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Is it feasible to identify novel biomarkers by mining public proteomics data?
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tranSMART Community Meeting 5-7 Nov 13 - Session 3: Pfizer’s Recent Use of tr...
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Leveraging Publicly Accessible Clinical Trails Data Sharing, Dissemination an...
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ProteomeXchange Experience: PXD Identifiers and Release of Data on Acceptance...
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is there life between standards? Data interoperability for AI.
is there life between standards? Data interoperability for AI.
Use of CEDAR Technology for Ontology-based Submission of Biomedical Data to ...
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tranSMART Community Meeting 5-7 Nov 13 - Session 2: Creating a Comprehensive ...
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Semantic Web for Health Care and Biomedical Informatics
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Radiomics Data Management, Computation, and Analysis for QIN F2F 2016
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Practical semantics in the pharmaceutical industry - the Open PHACTS project
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dkNET Webinar: Unlocking the Power of FAIR Data Sharing with ImmPort 04/12/2024
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NY Prostate Cancer Conference - P.A. Fearn - Session 1: Data management for p...
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BMB Resource Integration Workshop
The document summarizes a workshop aimed at integrating resources between several bioinformatics standards registries. The workshop agenda includes presentations from Identifiers.org, BioSharing, BMB Service Registry, EDAM ontology, and the BMB standards registry. Breakout sessions will identify overlaps and potential synergies between the registries, and define areas for collaboration. The goal is to reduce duplication of efforts and develop a common integration and development strategy across registries.
ELIXIR
ELIXIR aims to establish a pan-European infrastructure for biological information to support life sciences research. It will do this by coordinating nodes that provide services and resources, establishing standards, and closing skills gaps. Key challenges include sustaining data and services, ensuring interoperability, and dealing with increasingly large datasets. ELIXIR is working on pilots and task forces to address issues like cloud computing, storage, authentication and authorization.
ELIXIR
ELIXIR is a European research infrastructure for biological information that aims to support life science research. It brings together major bioinformatics providers and is supported by 17 EU member states. ELIXIR works to safeguard biological data and build sustainable data services. It establishes a distributed infrastructure to handle the large growth of data and provides tools, services, and platforms to facilitate access and analysis of data. ELIXIR also develops standards and provides training to support computational biology. Key activities include establishing national nodes, technical task forces, and pilot projects in areas like cloud resources, data transfer, and linking distributed databases.
Summary of Technical Coordinators discussions
The document summarizes discussions from the Technical Coordinator Group (TCG) meeting. The TCG is an advisory body to the Heads of Nodes Committee and consists of technical experts from each ELIXIR Node. They discuss technical and scientific aspects of ELIXIR and identify best practices. The summary outlines the members of TCG, describes short term working groups led by technical coordinators on specific technical efforts, and provides updates on various ELIXIR task forces focusing on areas such as cloud, storage, authentication and authorization, service registry, and training.
ELIXIR
- ELIXIR is a European research infrastructure for biological information that aims to facilitate life sciences research. It brings together over 100 bioinformatics service providers from 17 EU member states.
- The large increase in biological data from sources like DNA sequencing and mass spectrometry is outpacing storage capabilities and transfer speeds. This "data deluge" threatens to overwhelm existing infrastructure for data sharing and analysis in life sciences.
- Cloud computing provides potential solutions like more storage, data compression, keeping data close to computation, and provisioning researchers directly with storage and tools. ELIXIR and Google Cloud Platform UK discussed collaborating to host processed data, provide joint solutions for large data producers, and leverage Google Cloud capabilities to help
The European life-science data infrastructure: Data, Computing and Services ...
The document provides an update on the European Life Sciences Infrastructure for Biological Information (ELIXIR). ELIXIR aims to establish a distributed infrastructure to handle the growing volume of life science data. It coordinates several national nodes that provide bioinformatics resources and services. Key recent activities include establishing legal agreements with member states, developing a technical coordinator network, and running pilot projects to test solutions and foster collaboration between nodes. Moving forward, priorities include further establishing the infrastructure and community, providing visible and useful services to users, and ensuring sustainable data management.
Standardisation in BMS European infrastructures
Managing Big Data Workshop. Setting the standards for analyzing and integrating big data . July 9-10 2014, Berlin Germany.
ELIXIR
ELIXIR is a European research infrastructure for biological information that aims to facilitate life sciences research across Europe. It brings together life science resources from member countries to build a robust infrastructure for biological data. Individual organizations or countries cannot achieve this alone. ELIXIR establishes national nodes that leverage local strengths and priorities to deliver shared services through a distributed network. This allows the infrastructure to scale effectively with increasing data challenges. ELIXIR also works to improve data integration and interoperability across distributed resources through activities like developing standards and linking related communities.
ELIXIR
The document discusses ELIXIR, the European Life Sciences Infrastructure for Biological Information. It provides information on ELIXIR's governance structure, member countries, and nodes. The nodes work with the central ELIXIR hub to develop and deliver bioinformatics services, resources, training, and more. The goal is to support life science research through integrated, interoperable data and tools.
Standards
This document discusses standards and data integration in life sciences databases. It notes that there are many diverse and dispersed databases in molecular biology. Standards facilitate data sharing, integration, and reuse by defining common data representation and description formats. However, integrating data across different sources is challenging due to variables like different interfaces, data types, and levels of information. Initiatives like ELIXIR and HUPO PSI aim to improve interoperability between life sciences resources through defining community standards and best practices.
ELIXIR TCG update
The European Life Sciences Infrastructure for Biological Information (ELIXIR) coordinates biological data resources across Europe. It has several task forces working on key issues. This document summarizes discussions from the Technical Coordinators Group (TCG) meeting and provides updates from 7 task forces: Cloud, Storage, Authentication and Authorization (AAI), Service Registry, Metrics and Monitoring, Communication, and Website. Each section briefly describes the task force's goals, current work, and plans to coordinate with other groups to develop technical strategies for ELIXIR.
An introduction to programmatic access
This document provides an introduction to programmatic access and web services for querying biological data resources. It discusses different types of query interfaces including graphical user interfaces, application programming interfaces, and web services. It then focuses on describing web services, including REST and SOAP web services. Examples are given of using PSICQUIC REST and SOAP services to query molecular interaction data. The document also introduces workflows and workflow management systems like Taverna and myExperiment that allow sharing and reusing workflows that combine multiple services.
Life science requirements from e-infrastructure: initial results from a joint...
This document summarizes a workshop on life science requirements from e-infrastructure held by BioMedBridges. It discusses how big data is affecting challenges like data growth outpacing storage and transfer speeds. Potential solutions proposed include improving storage, compression, networking, partitioning data, and computing approaches like clouds. The workshop concluded that e-infrastructures need to better understand research infrastructure problems, evaluate bottlenecks, discuss solutions, and define requirements as big data will change current approaches to data sharing and management.
Technical activities in ELIXIR Europe
ELIXIR is a European research infrastructure that aims to facilitate life sciences research by coordinating the development of sustainable bioinformatics services and tools across Europe. It is working on several pilot projects to improve data integration, access to cloud computing resources, and authentication and authorization processes for sensitive data. The document discusses ELIXIR's goals and various technical work streams and task forces focused on developing strategies and standards to address challenges in integrating distributed biological data resources.
Challenges of big data. Summary day 1.
BioMedBridges meeting. E-Infrastructure support for the life sciences: Preparing for the data deluge. 16 May, 2014
Challenges of big data. Aims of the workshop.
BioMedBridges meeting. E-Infrastructure support for the life sciences: Preparing for the data deluge. 15 May, 2014
ELIXIR and data grand challenges in life sciences
This document discusses challenges in life sciences data management and services provided by ELIXIR to address these challenges. ELIXIR aims to facilitate life sciences research by building a sustainable infrastructure for biological data in Europe. It coordinates several nodes across member states that provide specialized data services. ELIXIR is also running pilot projects to test integration of services, including providing cloud access to reference data and distributed authentication and access to clinical archives. Future challenges include sustaining funding and scaling to handle exponentially growing data volumes.
SASI, A lightweight standard for exchanging course information
The document describes SASI (Scientific Announcement Standards Initiative), a lightweight standard for exchanging course information between life science organizations. It discusses problems with the current redundant and inconsistent annotation and distribution of announcements. The proposed solution is a centralized registry for annotation using agreed-upon standards, with decentralized distribution of announcements. This would allow automatic exchange of standardized announcements to reduce effort and improve discoverability.
ELIXIR
This document provides an overview of the European Life Sciences Infrastructure for Biological Information (ELIXIR). ELIXIR aims to build a sustainable infrastructure for biological data by coordinating existing life science resources across Europe. It will provide services for data, tools, computing, standards, and training. ELIXIR is establishing pilot projects to test integration of these services and address challenges like data access and scale. A Technical Coordination Group leads implementation and coordinates task forces to develop each area of the infrastructure. ELIXIR also partners with e-infrastructures to utilize high-performance computing and networking resources. Its goal is to support life science research and translation to areas like medicine, the environment, and bioindustry.
Introduction to the BioJS project
The BioJS project is a collection of JavaScript components for presenting biological data. It started as a student project in 2011 and a component registry was released in 2012. The goals are to create reusable visualization components that are easy to install, configure and extend. Components are developed following common guidelines and released with documentation to be shared and enhanced by the community.
More from Rafael C. Jimenez (20)
The European life-science data infrastructure: Data, Computing and Services ...
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Life science requirements from e-infrastructure: initial results from a joint...
Life science requirements from e-infrastructure: initial results from a joint...
SASI, A lightweight standard for exchanging course information
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Bekijk de slides van onze sessie Enhancing Modern Workplace Efficiency op Experts Live 2024.
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办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Intelligence supported media monitoring in veterinary medicine
Media monitoring in veterinary medicien
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Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
学校原件一模一样【微信：741003700 】《(unimelb毕业证书)墨尔本大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
原版制作【微信:41543339】【(Unimelb毕业证书)墨尔本大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同进口机器一比一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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- 10. European LifeSciences Infrastructure for Biological Information www.elixir-europe.org Thank you for your attention
- 11. 11 Preparing for the data deluge in life sciences BioMedBridges workshop 15-16 May 2014 Wellcome Trust Genome Campus Hinxton, UK Request attendance to Stephanie Suhr <ssuhr@ebi.ac.uk>
- 12. Important points to explore • EUDAT programmatic access for data submission • Synchronization for data updates • Keep unpublished datasets private until publication • Keep up with the growth (40TB, doubling every 4 months) • Use HPC facilities thought EUDAT to process raw data • Example for other repositories in life sciences 12
- 13. Research infrastructures 13 Data ICT e-infrastructures LS life sciences Facilitate research Physical facilities Scientific information Communication Computation Storage
- 14. Noble WS, MacCoss MJ (2012) Computational and Statistical Analysis of Protein Mass Spectrometry Data. PLoS Comput Biol 8(1): e1002296. doi:10.1371/journal.pcbi.1002296 http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002296 Overview of shotgun proteomics data production MKKKNIYSIRKLGVG IASVTLGTLLISG GVTPAANAAQHD FYQVLNMPNLNADQ RNGFIQSLK DDPSQSANVKLN 4 Peptide sequences
- 15. 15 Martens et al., Proteomics, 2005 Vizcaíno et al., NAR, 2013 PRIDE (PRoteomics IDEntifications) database Mass spectrometry
- 16. Origin: 152 USA 108 Germany 67 United Kingdom 53 Switzerland 48 Netherlands 42 China 42 Canada 41 France 36 Spain 33 Belgium 25 Australia 23 Sweden 17 Japan 16 Denmark 13 Norway 12 Finland 12 India 12 Taiwan 10 Italy 9 Republic of Korea 8 Austria 8 Ireland 8 Brazil 7 Singapore 5 Israel 5 Russia … 821 submitted datasets by April 1st 2014 Type: 273 PRIDE complete 501 PRIDE partial 47 PeptideAtlas/PASSEL complete Access: 38.3% PRIDE public 5.3% PASSEL public 56% PRIDE private 0.4% PASSEL private Data volume: Total: >40 TB Number of all files: >120,000 PXD000320-324: ~ 5 TB PXD000065: ~ 1.4TB Top Species studied by at least 8 datasets: 381 Homo sapiens 100 Mus musculus 31 Arabidopsis thaliana 26 Saccharomyces cerevisiae 16 Escherichia coli 14 Rattus norvegicus 12 Mycobacterium tuberculosis 11 Drosophila melanogaster ~ 215 species in total Submissions/year: 2012: 102 2013: 527 2014: 192
- 17. Acknowledgements PeptideAtlas Team Eric Deutsch Terry Farrah Zhi Sun Andrew R. Jones Lennart Martens Juan Pablo Albar Martin Eisenacher Gil Omenn And many other PX partners and stakeholders PRIDE team Juan Antonio Vizcaino Henning Hermjakob Attila Csordas Rui Wang Florian Reisinger Tobias Ternent Noemi del Toro Jose A. Dianes Yasset Perez-Riverol Qing-Wei Xu Ilias Lavidas
Editor's Notes
- Proteomics is the large-scale study of proteins, particularly their structures and functions Mass spectrometry (MS) is an analytical technique that measures the mass-to-charge (m/z) ratio of charged particles.