Simon Miles King s College London Architecture Tutorial
|
|
|
- Berniece Horn
- 9 years ago
- Views:
Transcription
1 Common provenance questions across e-science experiments Simon Miles King s College London
2 Outline Gathering Provenance Use Cases Our View of Provenance Sample Case Studies Generalised Questions about Provenance General Issues in Creating an Infrastructure for Provenance Further Details
3 Projects and Colleagues Started gathering use cases 5 years ago Provenance-Aware Service-Oriented Architecture (PASOA) project EU Provenance project Case studies used as requirements for general infrastructure, a subset implemented Many collaborators, and particularly Luc Moreau, University of Southampton Paul Groth, Information Sciences Institute, University of Southern California
4 Gathering Use Cases about Provenance
5 Methodology Describe idea and model of provenance Give others use cases as examples Ask what information (about the past) is being determined and/or used in each case
6 Use Case Expression Describe preceding actions by scientist(s) State what the scientist determines A bioinformatician, B, downloads sequence data of a human chromosome from GenBank and performs an experiment. B later performs the same experiment on data of the same chromosome, again downloaded from GenBank. B compares the two experiment results and notices a difference. B determines whether the difference was caused by the experimental process or configuration having been changed, or by the chromosome data being different (or both).
7 Provenance
8 What Provenance Is Oxford English Dictionary: the fact of coming from some particular source or quarter; origin, derivation the history or pedigree of a work of art, manuscript, rare book, etc.; concretely, a record of the passage of an item through its various owners. Provenance is important for: Interpretation Judging value
9 Causation Everything that is part of the provenance of an item is a cause of that item being as it is For example, provenance of a bottle of wine includes: Grapes from which it is made Where those grapes grew Steps in the wine s preparation How the wine was stored Between which parties the wine was transported, e.g. producer to distributer to retailer
10 Causal graphs Donor Organ Decision: Yes
11 Causal graphs Family Consent Decision: Yes Blood Test Results: -ve decision based on Donor Organ Decision: Yes
12 Causal graphs Family Consent Request: 432 response to Family Consent Decision: Yes Blood Test Request: 432 response to Blood Test Results: -ve decision based on Donor Organ Decision: Yes
13 Causal graphs Patient Brain Death: PID 432 triggered by Family Consent Request: 432 response to Family Consent Decision: Yes Blood Test Request: 432 response to Blood Test Results: -ve decision based on Donor Organ Decision: Yes
14 Causal graphs Patient Brain Death: PID 432 triggered by Family Consent Request: 432 Blood Test Request: 432 response to Family Consent Decision: Yes response to Blood Test Results: -ve triggered by decision based on Donor Organ Decision: Yes
15 Causal Connections Donation operation Patient after donation with two kidneys Causes and effects are occurrences Occurrence of a process or event, or Occurrence of a data item or physical artefact being in a particular state Counter-factual definition: Effect would not have occurred if cause had not occurred
16 Sample Case Studies
17 Bioinformatics Klaus-Peter Zauner at the University of Southampton Analysing the complexity (information content) of gene and protein sequences Purely electronic experiment implemented as UNIX shell scripts calling local executables Inputs downloaded from RefSeq,GenBank Output data is a graph plot graphics file
18 Provenance Questions Questions included: What sequences led to the production of this output graph? I ran what I thought was the same experiment (same configuration, same input data) on multiple occasions, but the output looks different - what was different?
19 Proteomics Centre for Proteomic Research at the University of Southampton Identifying proteins within biological samples A lab based experiment to extract data used as evidence for identification Followed by search of public and local databases for proteins matching this evidence
20 Provenance Questions Questions included: What machine settings did I use in obtaining this successful identification (so I can try similar settings in a later experiment)? What was the perceived reliability of the pieces of evidence and database entries used to identify this protein?
21 Particle Physics ATLAS experiment at the Large Hadron Collider, CERN Identifying traces of particles produced by the collision of particles at high energies Much data processing, first at CERN, then by physicists around the world A lot of processing in terms of large sets of data, of which only subsets may be used in any one experiment
22 Provenance Questions Questions included: Has the data set from which the subset of data I am experimenting on is extracted, been updated? Were these results produced by processing involving a version of a library now known to have bugs?
23 Organ Transplant Management Inter-hospital organ transplant management with software support Governed by the Catalan Health Authority Patients build up healthcare records through check-ups, tests, surgery When a donor dies, standardised procedures guide transplant process involving tests of donor organ, recipient, and making use of healthcare records
24 Provenance Questions Questions included: Who made the critical decisions which led to this donor organ being accepted/denied for transplantation? Where were the time lags in getting from donation to transplant?
25 And more... Genetic diseases Aircraft simulation Police databases Social planning Chemicals and lasers Grid service reliability Brain image analysis Healthcare records Ecological simulation Medical images Aerospace aftersales Chemical prediction Galaxy formation Near-earth objects
26 Generalised Common Questions
27 Generalised Questions How did I (or someone else) come by this result? (genetic diseases, aerospace examples) What was common and relevant in the history of this set of successful outcomes? (proteomics, social planning examples) Was the process claimed to be performed the one which was actually performed? (organ transplant, chemistry examples)
28 Generalised Questions What inputs were used to derive this output? (bioinformatics, particle physics examples) What software produced this data? (particle physics, genetic diseases examples) Can I generalise from the process by which this result was produced to a reusable plan? (chemistry example)
29 Generalised Questions Were these regulations followed in producing this result? (proteomics, transplant examples) Are these two independent conclusions actually based on the same faulty assumption/input? (grid reliability, policing examples) What differed between the way these two results were produced? (social planning, bioinformatics examples)
30 Generalised Questions Were tools or services used in a meaningful way? (bioinformatics examples) What effect do the tools used have on my rights to patent or publish? (bioinformatics examples) Which inputs have a pronounced effect on the output? (social planning, galaxy formation examples)
31 Generalised Questions Were the inputs to this experiment of reliable quality? (chemical prediction, biodiversity examples) Who was the source of this decision or input fact? (organ transplant examples)
32 General Issues for Provenance Infrastructures
33 Infrastructure Issues Record or infer connections between data, processes, events (and plan in advance) Naming no longer existent data, processes, events, states of artefacts Scalability of storage for large data sets Privacy infringement by ability to infer Requirements to delete old data Querying vast causal graphs Post-processing for most appropriate answers
34 Extra Resources
35 More Detail, More Use Cases The Requirements of Using Provenance in e-science Experiments by Miles, Groth, Branco and Moreau Journal of Grid Computing See Use Cases section See Applications section
36 More Detail, More Use Cases The Provenance Challenge First and Second used brain image analysis case study Third (current) uses near-earth object detection (astronomy) case study Workflow-oriented but trying to make connections with database provenance
37 Credits Thanks to the many who were interviewed and supplied the use cases (see papers and websites for all the credits)
Living Donor Paired Exchange Registry. What is Living Kidney Donor Paired Exchange?
Living Paired Exchange Registry What is Living Kidney Paired Exchange? The Living Paired Exchange Registry. At Canadian Blood Services, we are committed to helping Canadians help each other. By building
Data, Measurements, Features
Data, Measurements, Features Middle East Technical University Dep. of Computer Engineering 2009 compiled by V. Atalay What do you think of when someone says Data? We might abstract the idea that data are
How does a kidney transplant differ from dialysis?
TA L K I N G A B O U T T R A N S P L A N TAT I O N Frequently Asked Questions about Kidney Transplant Evaluation and Listing If your kidneys have stopped working properly, or may stop working soon, you
*6816* 6816 CONSENT FOR DECEASED KIDNEY DONOR ORGAN OPTIONS
The shortage of kidney donors and the ever-increasing waiting list has prompted the transplant community to look at different types of organ donors to meet the needs of our patients on the waiting list.
Big6 Science Fair Project Organizer
Big6 Science Fair Project Organizer Name: Big6 #1 Task Definition 1. Choose a topic for study. Here is a way to start: Observe the world around you. What interests you about it? What hobbies do you like
Array Comparative Genomic Hybridisation (CGH)
Array Comparative Genomic Hybridisation (CGH) Exceptional healthcare, personally delivered What is array CGH? Array CGH is a new test that is now offered to all patients referred with learning disability
Information for people who have an increased risk of Creutzfeldt-Jakob disease (CJD)
Information for people who have an increased risk of Creutzfeldt-Jakob disease (CJD) There are several types of Creutzfeldt-Jakob disease (CJD). In this leaflet the term CJD covers all types unless a particular
U.K. Familial Ovarian Cancer Screening Study (UK FOCSS) Phase 2 Patient Information Sheet
U.K. Familial Ovarian Cancer Screening Study (UK FOCSS) Phase 2 Patient Information Sheet 1. Invitation You are being invited to take part in a research study. Before you decide it is important for you
The Human Genome Project. From genome to health From human genome to other genomes and to gene function Structural Genomics initiative
The Human Genome Project From genome to health From human genome to other genomes and to gene function Structural Genomics initiative June 2000 What is the Human Genome Project? U.S. govt. project coordinated
Search and Data Mining: Techniques. Applications Anya Yarygina Boris Novikov
Search and Data Mining: Techniques Applications Anya Yarygina Boris Novikov Introduction Data mining applications Data mining system products and research prototypes Additional themes on data mining Social
CCR Biology - Chapter 9 Practice Test - Summer 2012
Name: Class: Date: CCR Biology - Chapter 9 Practice Test - Summer 2012 Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Genetic engineering is possible
Big Data Challenges in Bioinformatics
Big Data Challenges in Bioinformatics BARCELONA SUPERCOMPUTING CENTER COMPUTER SCIENCE DEPARTMENT Autonomic Systems and ebusiness Pla?orms Jordi Torres [email protected] Talk outline! We talk about Petabyte?
Presente e futuro del Web Semantico
Sistemi di Elaborazione dell informazione II Corso di Laurea Specialistica in Ingegneria Telematica II anno 4 CFU Università Kore Enna A.A. 2009-2010 Alessandro Longheu http://www.diit.unict.it/users/alongheu
How does genetic testing work?
How does genetic testing work? What is a genetic test? A genetic test looks at to find changes (variants) that cause disease or put you at greater risk to develop disease. DNA is the code our bodies use
OXFORD OPEN. Introduction IGCSE. Chemistry. Introduction
IGCSE Chemistry OXFORD OPEN L E A R N I N G Chemistry IGCSE IGCSE Chemistry Welcome to your IGCSE Chemistry course. This introduction will serve as a guide to what you can expect from the course, and it
Stem Cells. Part 1: What is a Stem Cell?
Stem Cells Part 1: What is a Stem Cell? Stem cells differ from other kinds of cells in the body. When a stem cell divides by mitosis, each new cell has the potential to either remain a stem cell or become
Machine Learning and Data Mining. Fundamentals, robotics, recognition
Machine Learning and Data Mining Fundamentals, robotics, recognition Machine Learning, Data Mining, Knowledge Discovery in Data Bases Their mutual relations Data Mining, Knowledge Discovery in Databases,
Introduction to Data Mining
Introduction to Data Mining Jay Urbain Credits: Nazli Goharian & David Grossman @ IIT Outline Introduction Data Pre-processing Data Mining Algorithms Naïve Bayes Decision Tree Neural Network Association
Methods for network visualization and gene enrichment analysis July 17, 2013. Jeremy Miller Scientist I [email protected]
Methods for network visualization and gene enrichment analysis July 17, 2013 Jeremy Miller Scientist I [email protected] Outline Visualizing networks using R Visualizing networks using outside
University of Glasgow - Programme Structure Summary C1G5-5100 MSc Bioinformatics, Polyomics and Systems Biology
University of Glasgow - Programme Structure Summary C1G5-5100 MSc Bioinformatics, Polyomics and Systems Biology Programme Structure - the MSc outcome will require 180 credits total (full-time only) - 60
Artificial Intelligence and Machine Learning Models
Using Artificial Intelligence and Machine Learning Techniques. Some Preliminary Ideas. Presentation to CWiPP 1/8/2013 ICOSS Mark Tomlinson Artificial Intelligence Models Very experimental, but timely?
Computer Modeling. Exciting careers in. * How were computer models involved in making this scene possible? What is it? How does it work? Who uses it?
Computer Modeling Exciting careers in What is it? How does it work? Who uses it? What can I do with it? Where can I learn it? * How were computer models involved in making this scene possible? What is
Sanjeev Kumar. contribute
RESEARCH ISSUES IN DATAA MINING Sanjeev Kumar I.A.S.R.I., Library Avenue, Pusa, New Delhi-110012 [email protected] 1. Introduction The field of data mining and knowledgee discovery is emerging as a
Integrating Genetic Data into Clinical Workflow with Clinical Decision Support Apps
White Paper Healthcare Integrating Genetic Data into Clinical Workflow with Clinical Decision Support Apps Executive Summary The Transformation Lab at Intermountain Healthcare in Salt Lake City, Utah,
Facts about Organ and Tissue Donation for Research
Facts about Organ and Tissue Donation for Research Requirements for research are different than requirements for transplant, and it is important to understand that anyone at any age may be a research donor
EDITORIAL MINING FOR GOLD : CAPITALISING ON DATA TO TRANSFORM DRUG DEVELOPMENT. A Changing Industry. What Is Big Data?
EDITORIAL : VOL 14 ISSUE 1 BSLR 3 Much has been written about the potential of data mining big data to transform drug development, reduce uncertainty, facilitate more targeted drug discovery and make more
Nevada Department of Education Standards
Blood-Typing Through an experiment with Kool-Aid, students follow the steps of the scientific method to learn about the experimental procedure of blood typing. Grade Level: 5th Objectives: Students will
CPO Science and the NGSS
CPO Science and the NGSS It is no coincidence that the performance expectations in the Next Generation Science Standards (NGSS) are all action-based. The NGSS champion the idea that science content cannot
Intro to the Art of Computer Science
1 LESSON NAME: Intro to the Art of Computer Science Lesson time: 45 60 Minutes : Prep time: 15 Minutes Main Goal: Give the class a clear understanding of what computer science is and how it could be helpful
Policies and Procedures
NHS Blood and Transplant Policies and Procedures Information Charter [POL13] 2 Policy Reference Title Approved by This document replaces version issued June 2008 [POL13] NHSBT Information Charter Information
Science Stage 6 Skills Module 8.1 and 9.1 Mapping Grids
Science Stage 6 Skills Module 8.1 and 9.1 Mapping Grids Templates for the mapping of the skills content Modules 8.1 and 9.1 have been provided to assist teachers in evaluating existing, and planning new,
1. General Information About The Mitochondrial Disease Biobank
Name and Clinic Number IRB # 09-002265 00 Consent form approved November 6, 2013; This consent valid through August 6, 2014; 1. General Information About The Mitochondrial Disease Biobank Study Title:
Semantic Workflows and the Wings Workflow System
To Appear in AAAI Fall Symposium on Proactive Assistant Agents, Arlington, VA, November 2010. Assisting Scientists with Complex Data Analysis Tasks through Semantic Workflows Yolanda Gil, Varun Ratnakar,
Body, Brain and Tissue Donation Pack
Body, Brain and Tissue Donation Pack Information on donating your body, brain or tissue for anatomical examination, research or education and training Contents 3 Donation and the Human Tissue Authority
Blood Transfusion. There are three types of blood cells: Red blood cells. White blood cells. Platelets.
Blood Transfusion Introduction Blood transfusions can save lives. Every second, someone in the world needs a blood transfusion. Blood transfusions can replace the blood lost from a serious injury or surgery.
Bioinformatics Grid - Enabled Tools For Biologists.
Bioinformatics Grid - Enabled Tools For Biologists. What is Grid-Enabled Tools (GET)? As number of data from the genomics and proteomics experiment increases. Problems arise for the current sequence analysis
Where Will my New Kidney Come From?
Where Will my New Kidney Come From? The Organ Shortage There is a severe shortage of organs for transplant. This means that the wait for a kidney transplant can be many years. The UW Transplant Program
8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION
- 1-8. KNOWLEDGE BASED SYSTEMS IN MANUFACTURING SIMULATION 8.1 Introduction 8.1.1 Summary introduction The first part of this section gives a brief overview of some of the different uses of expert systems
Euro-BioImaging European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences
Euro-BioImaging European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences WP11 Data Storage and Analysis Task 11.1 Coordination Deliverable 11.2 Community Needs of
Virtual research environments: learning gained from a situation and needs analysis for malaria researchers
Virtual research environments: learning gained from a situation and needs analysis for malaria researchers Martie van Deventer (CSIR), Heila Pienaar (UP), Jane Morris (ACGT) and Zoleka Ngcete (SAMI) African
Big Data so what s the big deal? Jevin D. West ischool, University of Washington [email protected]
Big Data so what s the big deal? Jevin D. West ischool, University of Washington [email protected] What is big data? Agenda Introductions Big data why should you care? Introduction to big data Examples Nuances
Guideline for stresstest Page 1 of 6. Stress test
Guideline for stresstest Page 1 of 6 Stress test Objective: Show unacceptable problems with high parallel load. Crash, wrong processing, slow processing. Test Procedure: Run test cases with maximum number
Validation of E-Science Experiments using a Provenance-based Approach
Validation of E-Science Experiments using a Provenance-based Approach Sylvia C. Wong, Simon Miles, Weijian Fang, Paul Groth and Luc Moreau School of Electronics and Computer Science University of Southampton,
Questions and Answers for Transplant Candidates about the New Kidney Allocation System
TA L K I N G A B O U T T R A N S P L A N TAT I O N U N I T E D N E T W O R K F O R O R G A N S H A R I N G Questions and Answers for Transplant Candidates about the New Kidney Allocation System United
Putting Genomes in the Cloud with WOS TM. ddn.com. DDN Whitepaper. Making data sharing faster, easier and more scalable
DDN Whitepaper Putting Genomes in the Cloud with WOS TM Making data sharing faster, easier and more scalable Table of Contents Cloud Computing 3 Build vs. Rent 4 Why WOS Fits the Cloud 4 Storing Sequences
Guide to Writing a Project Report
Guide to Writing a Project Report The following notes provide a guideline to report writing, and more generally to writing a scientific article. Please take the time to read them carefully. Even if your
Data Driven Discovery In the Social, Behavioral, and Economic Sciences
Data Driven Discovery In the Social, Behavioral, and Economic Sciences Simon Appleford, Marshall Scott Poole, Kevin Franklin, Peter Bajcsy, Alan B. Craig, Institute for Computing in the Humanities, Arts,
Workflow Requirements (Dec. 12, 2006)
1 Functional Requirements Workflow Requirements (Dec. 12, 2006) 1.1 Designing Workflow Templates The workflow design system should provide means for designing (modeling) workflow templates in graphical
BIOSCIENCES COURSE TITLE AWARD
COURSE TITLE AWARD BIOSCIENCES As a Biosciences undergraduate student at the University of Westminster, you will benefit from some of the best teaching and facilities available. Our courses combine lecture,
Doctor of Philosophy in Computer Science
Doctor of Philosophy in Computer Science Background/Rationale The program aims to develop computer scientists who are armed with methods, tools and techniques from both theoretical and systems aspects
Concepts of digital forensics
Chapter 3 Concepts of digital forensics Digital forensics is a branch of forensic science concerned with the use of digital information (produced, stored and transmitted by computers) as source of evidence
Integration of Genetic and Familial Data into. Electronic Medical Records and Healthcare Processes
Integration of Genetic and Familial Data into Electronic Medical Records and Healthcare Processes By Thomas Kmiecik and Dale Sanders February 2, 2009 Introduction Although our health is certainly impacted
NIST Big Data PWG & RDA Big Data Infrastructure WG: Implementation Strategy: Best Practice Guideline for Big Data Application Development
NIST Big Data PWG & RDA Big Data Infrastructure WG: Implementation Strategy: Best Practice Guideline for Big Data Application Development Wo Chang [email protected] National Institute of Standards and Technology
ICSU and the Challenge of Big Data in Science
ICSU and the Challenges of Big Data in Science Elsevier Conference on Big Data, E-Science and Science Policy 16 17 May 2012 Canberra Professor Ray Harris UCL International Council for Science ICSU 121
SNP Essentials The same SNP story
HOW SNPS HELP RESEARCHERS FIND THE GENETIC CAUSES OF DISEASE SNP Essentials One of the findings of the Human Genome Project is that the DNA of any two people, all 3.1 billion molecules of it, is more than
AllegroGraph. a graph database. Gary King [email protected]
AllegroGraph a graph database Gary King [email protected] Overview What we store How we store it the possibilities Using AllegroGraph Databases Put stuff in Get stuff out quickly safely Stuff things with
EMBL Identity & Access Management
EMBL Identity & Access Management Rupert Lück EMBL Heidelberg e IRG Workshop Zürich Apr 24th 2008 Outline EMBL Overview Identity & Access Management for EMBL IT Requirements & Strategy Project Goal and
Smart Science Lessons and Middle School Next Generation Science Standards
Smart Science Lessons and Middle School Next Generation Science Standards You have chosen the right place to find great science learning and, beyond learning, how to think. The NGSS emphasize thinking
Outbreak questionnaires and data entry using the new EpiData modules
Outbreak questionnaires and data entry using the new EpiData modules Contents Outbreak questionnaires and data entry using the new EpiData modules... 1 Introduction... 1 A. Install... 2 B. Get to know
Data Provenance for e-social
Data Provenance for e-social Data Provenance for e-social Science Science Cloud Cloud Applications Applications Che Wan Amiruddin Chek Wan Samsudin MSc Computing and Management Session (2010/2011) The
14.3 Studying the Human Genome
14.3 Studying the Human Genome Lesson Objectives Summarize the methods of DNA analysis. State the goals of the Human Genome Project and explain what we have learned so far. Lesson Summary Manipulating
KNOWLEDGENT WHITE PAPER. Big Data Enabling Better Pharmacovigilance
Big Data Enabling Better Pharmacovigilance INTRODUCTION Biopharmaceutical companies are seeing a surge in the amount of data generated and made available to identify better targets, better design clinical
Building the European Biodiversity. Observation Network (EU BON)
Enterprise Application Integration Building the European Biodiversity through Service-Oriented Architecture Observation Network (EU BON) EU BON Project Building the European Biodiversity Network Presentation
15 Stem Cell Research
15 Stem Cell Research t a l k it o v e r 1 c l a s s se s s i o n Overview Students read about current scientific research on and the social controversy over embryonic stem cells. On a KWL literacy strategy
RETRIEVING SEQUENCE INFORMATION. Nucleotide sequence databases. Database search. Sequence alignment and comparison
RETRIEVING SEQUENCE INFORMATION Nucleotide sequence databases Database search Sequence alignment and comparison Biological sequence databases Originally just a storage place for sequences. Currently the
ProteinQuest user guide
ProteinQuest user guide 1. Introduction... 3 1.1 With ProteinQuest you can... 3 1.2 ProteinQuest basic version 4 1.3 ProteinQuest extended version... 5 2. ProteinQuest dictionaries... 6 3. Directions for
INTRODUCTION. Chapter One
Chapter One INTRODUCTION Human tissues have been stored for a long time. Some institutions in the United States have archived specimens of human tissues that are more than 100 years old. Historically,
Anforderungen der Life-Science Industrie an die Hochschulen. Hans Widmer Novartis Institutes for BioMedical Research
Anforderungen der Life-Science Industrie an die Hochschulen Hans Widmer Novartis Institutes for BioMedical Research There s nothing more extraordinary than a normal life 2 What does industry expect from
Egg and sperm donation in the UK: 2012 2013
Egg and sperm donation in the UK: 2012 2013 Contents Introduction 2 Background to this report 2 Terms and acronyms used in this report 4 Methodology 5 How we gathered the data 5 Understanding the data
Year 10: The transmission of heritable characteristics from one generation to the next involves DNA
1 Overview In this activity, students identify an unknown code (Activity 1) and then apply it to identify the message in an unknown text (Activity 2). Discussion questions consolidate the learning,and
Debian Med. Integrated software environment for all medical purposes based on Debian GNU/Linux. Andreas Tille. OSWC, Malaga 2008. Debian.
Integrated software environment for all medical purposes based on Debian GNU/Linux Debian OSWC, Malaga 2008 Structure 1 2 3 Structure 1 2 3 Structure 1 2 3 Motivation Free Software in medicine not widely
Bioinformatics Resources at a Glance
Bioinformatics Resources at a Glance A Note about FASTA Format There are MANY free bioinformatics tools available online. Bioinformaticists have developed a standard format for nucleotide and protein sequences
Intro to Bioinformatics
Intro to Bioinformatics Marylyn D Ritchie, PhD Professor, Biochemistry and Molecular Biology Director, Center for Systems Genomics The Pennsylvania State University Sarah A Pendergrass, PhD Research Associate
REGULATIONS FOR THE DEGREE OF BACHELOR OF SCIENCE IN BIOINFORMATICS (BSc[BioInf])
820 REGULATIONS FOR THE DEGREE OF BACHELOR OF SCIENCE IN BIOINFORMATICS (BSc[BioInf]) (See also General Regulations) BMS1 Admission to the Degree To be eligible for admission to the degree of Bachelor
Narrator: Transplants using stem cells from the blood, bone marrow or umbilical cord blood
[Track 2: What Is a Transplant?] Narrator: Transplants using stem cells from the blood, bone marrow or umbilical cord blood can be an effective treatment for people with blood cancers such as leukemia,
