Bioinformatics Specialization

Start Date: 07/04/2021

Course Type: Specialization Course

Course Link:

About Course

Join Us in a Top 50 MOOC of All Time! How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth? When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science. Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional! Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video. You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website. Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!

Course Syllabus

Finding Hidden Messages in DNA (Bioinformatics I)
Genome Sequencing (Bioinformatics II)
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Molecular Evolution (Bioinformatics IV)

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Course Introduction

Journey to the Frontier of Computational Biology. Master bioinformatics software and computational approaches in modern biology. Bioinformatics Specialization The University of California San Diego, Global Bioinformatics Program, is an undergraduate level science program offering a true computational approach to the problems of the biological world. The program is unique in that the students learn to implement and apply real biological algorithms while taking an introductory level computational course. The program is designed for learners who want to take a foundational computational, computational, and computational-level approach to the problems of bioinformatics, as well as those who want to know how to apply bioinformatics in their daily routines. In this course, we will introduce the computational tools needed to solve the training and test datasets, as well as how to apply these algorithms to solve the practical problem of finding a candidate gene for a particular problem. By the end of this course you will be able to: - Implement computational methods in Bioinformatics - Explain the significance of the n+1 problem - Sampling and clustering - Regularized Regression - Inferring from a Data Set by using Bootstrapping - Running Experiments Experienced Bioinformatician ready to take his or her first steps into computational biology! Special Requirements: Learners should have prior knowledge of computer programming, data analysis, and basic machine learning.Exact-Nominal-Probability (N) Mean-Variance-Interval Estimation (MV) Mean-Variance-Interval

Course Tag

Whole Genome Sequencing Viterbi Algorithm Suffix Tree Python Programming Algorithms Unweighted Pair Group Method with Arithmetic Mean (UPGMA) Bioinformatics

Related Wiki Topic

Article Example
Bioinformatics MOOC platforms also provide online certifications in bioinformatics and related disciplines, including Coursera's Bioinformatics Specialization (UC San Diego) and Genomic Data Science Specialization (Johns Hopkins) as well as EdX's Data Analysis for Life Sciences XSeries (Harvard).
Pavel A. Pevzner Pevzner is interested in new approaches to teaching computational molecular biology at both undergraduate and graduate level, serving as a founding instructor for the Bioinformatics Specialization on Coursera and having written several books on Bioinformatics and Computational Biology.
Bioinformatics Software tools for bioinformatics range from simple command-line tools, to more complex graphical programs and standalone web-services available from various bioinformatics companies or public institutions.
Bioinformatics Basic bioinformatics services are classified by the EBI into three categories: SSS (Sequence Search Services), MSA (Multiple Sequence Alignment), and BSA (Biological Sequence Analysis). The availability of these service-oriented bioinformatics resources demonstrate the applicability of web-based bioinformatics solutions, and range from a collection of standalone tools with a common data format under a single, standalone or web-based interface, to integrative, distributed and extensible bioinformatics workflow management systems.
Bioinformatics The range of open-source software packages includes titles such as Bioconductor, BioPerl, Biopython, BioJava, BioJS, BioRuby, Bioclipse, EMBOSS, .NET Bio, Orange with its bioinformatics add-on, Apache Taverna, UGENE and GenoCAD. To maintain this tradition and create further opportunities, the non-profit Open Bioinformatics Foundation have supported the annual Bioinformatics Open Source Conference (BOSC) since 2000.
Bioinformatics Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics has been used for "in silico" analyses of biological queries using mathematical and statistical techniques.
Bioinformatics A Bioinformatics workflow management system is a specialized form of a workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or a workflow, in a Bioinformatics application. Such systems are designed to
Bioinformatics a bioinformatics tool BPGA can be used to characterize the Pan Genome of bacterial species.
Bioinformatics Software platforms designed to teach bioinformatics concepts and methods include Rosalind and online courses offered through the Swiss Institute of Bioinformatics Training Portal. The Canadian Bioinformatics Workshops provides videos and slides from training workshops on their website under a Creative Commons license. The 4273π project or 4273pi project also offers open source educational materials for free. The course runs on low cost raspberry pi computers and has been used to teach adults and school pupils. 4273π is actively developed by a consortium of academics and research staff who have run research level bioinformatics using raspberry pi computers and the 4273π operating system.
Bioinformatics Bioinformatics is a science field that is similar to but distinct from biological computation, while it is often considered synonymous to computational biology. Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology involve the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology.
Pharmaceutical bioinformatics One conference specific to Pharmaceutical Bioinformatics is "International Conference on Pharmaceutical Bioinformatics" (ICPB) (
Bioinformatics Historically, the term "bioinformatics" did not mean what it means today. Paulien Hogeweg and Ben Hesper coined it in 1970 to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biophysics (the study of physical processes in biological systems) or biochemistry (the study of chemical processes in biological systems).
Integrative bioinformatics Integrative bioinformatics is a discipline of bioinformatics that focuses on problems of data integration for the life sciences.
Bioinformatics Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organisational principles within nucleic acid and protein sequences, called proteomics.
BMC Bioinformatics BMC Bioinformatics is a peer-reviewed open access scientific journal covering bioinformatics and computational biology published by BioMed Central. It was established in 2000.
Interactive specialization According to the second, the Interactive Specialization (IS)
Iran Bioinformatics Center Iran Bioinformatics Center (IBC) is the only academic center in Iran working on Bioinformatics. Although there are some independent research groups such as Bioinformatics and Biomathematics Unit in Mazandaran University of Medical Sciences working on Bioinformatics but IBC is a part of Institute of Biochemistry and Biophysics (IBB) in Tehran University. IBC offers a Ph.D. program for Bioinformatics.
Gautam Buddha University with specialization in the areas of Genetic Engineering, Food technology and Bioinformatics.
UCPH Bioinformatics Centre The Bioinformatics Centre is in charge of a masters program in bioinformatics.
Bioinformatics (journal) From 1998 to 2004, "Bioinformatics" was the official journal of the ISCB. In 2004, as many ISCB members had institutional subscriptions to "Bioinformatics", ISCB decided not to renew its contract with the journal. As of 2005, "PLOS Computational Biology" became the official ISCB journal. In January 2009 "Bioinformatics" again became an official journal of the ISCB, alongside "PLOS Computational Biology".