This course provides an introduction to the key methods and technologies of bioinformatics as pertinent to genomics. These are the fastest growing fields of biology and perhaps science. Bioinformatics is a rapidly growing scientific discipline at the interface of genomics, statistics and computer science that has distinct but overlapping aspects: the development of computational infrastructure (eg. algorithms, programs, databases) and their use to analyse a wide variety of biological data. Among these data, genes, transcripts and epigenetic features play a central role. Their rapid and large-scale acquisition in today's genomics, transcriptomics, proteomics and other -omics projects poses the major challenge of modern biology. The large-scale and genome-wide analysis of these data relies on advances in bioinformatics and statistics. As computer literacy is central to genomic biology, it is also central to this course. Accordingly, the course includes short sections on computer programming using the Python and R programming languages. Topics covered will include techniques for sequence comparison, population and comparative genomics, and transcript analysis.
Honours pathway option (HPO)
The HPO will be one of two different "types" of research related activities:
- Choose an "issue" (e.g. a feature request, or bug) from an open source bioinformatics project and solve it by writing code and tests.
- Choose a statistical method for analysis of genomic variation and critique it.
Both options would require regular meetings with the course convenor.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Describe and apply a variety of methods in bioinformatics, including computer programming.
- Describe and evaluate current research procedures across a range of topics in bioinformatics.
- Evaluate and interpret current literature in areas of bioinformatic practice.
- Evaluate research methodology in the context of bioinformatic analysis of DNA sequence data.
- Demonstrate the ability to obtain quantitative results from mathematical and statistical models through analytical and computational methods.
Required Resources
Students need their own computer.
Recommended Resources
Recommended student system requirements
ANU courses commonly use a number of online resources and activities including:
- video material, similar to YouTube, for lectures and other instruction
- two-way video conferencing for interactive learning
- email and other messaging tools for communication
- interactive web apps for formative and collaborative activities
- print and photo/scan for handwritten work
- home-based assessment.
To fully participate in ANU learning, students need:
- A computer or laptop. Mobile devices may work well but in some situations a computer/laptop may be more appropriate.
- Webcam
- Speakers and a microphone (e.g. headset)
- Reliable, stable internet connection. Broadband recommended. If using a mobile network or wi-fi then check performance is adequate.
- Suitable location with minimal interruptions and adequate privacy for classes and assessments.
- Printing, and photo/scanning equipment
For more information please see https://www.anu.edu.au/students/systems/recommended-student-system-requirements
Staff Feedback
Students will be given feedback in the following forms in this course:- Written comments
- Verbal comments
- Feedback to the whole class, to groups, to individuals, focus groups
Student Feedback
ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.Other Information
Part of the course will involve in class quizzes conducted during computer lab sessions. These quizzes will be computational in nature and based on computing materials and resources made available during the course.
Plagiarism will attract academic penalties in accordance with the ANU guidelines. A student in this course is expected to be able to explain and defend any submitted assessment item. The course convener can conduct or initiate an additional interview about any submitted assessment item for any student. If there is a significant discrepancy between the two forms of assessment, it will be automatically treated as a case of suspected academic misconduct.
Class Schedule
Week/Session | Summary of Activities | Assessment |
---|---|---|
1 | Course Introduction, Critical thinking | Assignment |
2 | Introduction to Python | In class quizzes |
3 | Introduction to Python, | In class quiz, Topic assignment |
4 | Sequence Comparison | In class quizzes |
5 | Sequence Comparison | In class quizzes |
6 | Sequence Comparison | In class quizzes, Topic assignment |
7 | Molecular Evolution | In class quiz |
8 | Molecular Evolution | In class quizzes |
9 | Molecular Evolution | Topic assignment |
10 | Mini-research project on the microbiome | Topic assignment |
11 | Mini-research project on the microbiome | |
12 | Mini-research project on the microbiome | Topic assignment |
Assessment Summary
Assessment task | Value | Due Date | Return of assessment | Learning Outcomes |
---|---|---|---|---|
Logical thinking | 5 % | 02/03/2023 | 09/03/2023 | 2,3,4,5 |
Introduction to Python | 20 % | 14/03/2023 | 21/03/2023 | 1 |
Sequence comparison | 25 % | 17/04/2023 | 24/04/2023 | 2,3,4,5 |
Molecular evolution | 25 % | 08/05/2023 | 15/05/2023 | 2,3,4,5 |
Mini-research project on the microbiome | 25 % | 06/06/2023 | 13/06/2023 | 2,3,4,5 |
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
Policies
ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:- Student Assessment (Coursework) Policy and Procedure
- Special Assessment Consideration Policy and General Information
- Student Surveys and Evaluations
- Deferred Examinations
- Student Complaint Resolution Policy and Procedure
Assessment Requirements
The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.Moderation of Assessment
Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.Participation
For most of the labs, there will be an in class quiz (each quiz being worth 1% of the course total). (The indicative assessment task list does not reflect this.)
Unless a medical certificate is provided, there will not be an opportunity to take the quizzes outside of the lab.
Instructors will announce the quizzes at the beginning of their topics.
Assessment Task 1
Learning Outcomes: 2,3,4,5
Logical thinking
This will be a written assignment worth 5% of the entire course.
Assessment Task 2
Learning Outcomes: 1
Introduction to Python
Assessment tasks will consist of 3 class quizzes and one assignment. Each quiz will be worth 1% of the entire course. The assignment will be worth 17% of the entire course.
Assessment Task 3
Learning Outcomes: 2,3,4,5
Sequence comparison
Assessment tasks will consist of 3 class quizzes and one assignment. Each quiz will be worth 1% of the entire course. The assignment will be worth 22% of the entire course.
Assessment Task 4
Learning Outcomes: 2,3,4,5
Molecular evolution
Assessment tasks will consist of 3 class quizzes and one assignment. Each quiz will be worth 1% of the entire course. The assignment will be worth 22% of the entire course.
Assessment Task 5
Learning Outcomes: 2,3,4,5
Mini-research project on the microbiome
This will consist of 2 assignments. The first will be a written assignment worth 10% of the entire course, the second worth 15% of the entire course.
Academic Integrity
Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.Online Submission
Due to the computational nature of the course, all assignment submission is done through the a dedicated system on the class server called nbgrader. The exceptions are strictly written assignments which will be submitted through TurnItIn on Wattle.
Hardcopy Submission
There will be no hard copy submissions.
Late Submission
Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.
Referencing Requirements
Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.Returning Assignments
Assignments will be returned by the nbgrader mechanism (instructions posted on Wattle) or via Wattle.
Extensions and Penalties
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.Resubmission of Assignments
Resubmission is not allowed.
Privacy Notice
The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.Distribution of grades policy
Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.Support for students
The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Convener
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Research Interestsgenetics, statistics, computing, bioinformatics |
Prof Gavin Huttley
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Instructor
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Research Interests |
Prof Gavin Huttley
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Demonstrator
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Research Interests |
Katherine Caley
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