Bioconductor

Free R (programming language) software

Bioconductor is a free, open source and open development software project for the analysis and comprehension of genomic data generated by wet lab experiments in molecular biology. Bioconductor is based primarily on the statistical R programming language, but does contain contributions in other programming languages. It has two releases each year that follow the semiannual releases of R. At any one time there is a release version, which corresponds to the released version of R, and a development version, which corresponds to the development version of R. Most users will find the release version appropriate for their needs. In addition there are many genome annotation packages available that are mainly, but not solely, oriented towards different types of microarrays. While computational methods continue to be developed to interpret biological data, the Bioconductor project is an open source software repository that hosts a wide range of statistical tools developed in the R programming environment. Utilizing a rich array of statistical and graphical features in R, many Bioconductor packages have been developed to meet various data analysis needs. The use of these packages provides a basic understanding of the R programming / command language. As a result, R and Bioconductor packages, which have a strong computing background, are used by most biologists who will benefit significantly from their ability to analyze datasets. All these results provide biologists with easy access to the analysis of genomic data without requiring programming expertise. The project was started in the Fall of 2001 and is overseen by the Bioconductor core team, based primarily at the Fred Hutchinson Cancer Research Center, with other members coming from international institutions. (Wikipedia).

A Kerosene Lantern... Bioreactor?

Bioreactors are very simple, but extremely useful devices. They're basically a large tank that microorganisms can be grown in, but what makes them special is their ability to grow a nearly infinite amount of the organism or a product an organism produces by slowly feeding in fresh nutrient

From playlist Biology and Genetics

Faculty Interview | MIT Introduction to Bioengineering, Spri

Interview with Bioengineering faculty Prof. Charles Cooney View the complete course: http://ocw.mit.edu/20-010JS06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 20.010J Introduction to Bioengineering, Spring 2006

Lexicon of Biochemical Reactions: Vitamin B6 / PLP

MIT 5.07SC Biological Chemistry, Fall 2013 View the complete course: http://ocw.mit.edu/5-07SCF13 Instructor: JoAnne Stubbe This video focuses on another cofactor: Vitamin B6 (Pyridoxine). This is the cofactor you use whenever you want to metabolize amino acids. We use amino acids to make

From playlist MIT 5.07SC Biological Chemistry I, Fall 2013

Synthetic Biology and Materials Science Part 1: Biological Manufacturing

We've discussed some aspects of biotechnology already, but we have yet to discuss the promising field of synthetic biology. We are now able to manipulate biological organisms in ways that have technological applications, and one of the most important of these applications has to do with ma

From playlist Biology/Genetics

Research Methods of Biopsychology

With some information regarding the organization of neurons and neural pathways, we are ready to start getting into some deeper topics. But before we do that, it will be useful to get a general sense of precisely how we learn about the things we will be discussing. The brain is complicated

From playlist Biopsychology

BioinforMagic: Marrying Galaxy and Bioconductor, 20160626

Galaxy Community Conference 2016, Indiana University - Bloomington | https://gcc2016.iu.edu/ R/Bioconductor tools are popular among bioinformaticians for conducting analyses on high-throughput genomics data. Many researchers have written and used their own R/Bioconductor tools but have li

From playlist 2016 Galaxy User Community Conference (GCC16)

Differential Expression on Commandline

Filmed during an in-person session of the Supercomputing for Everyone Series: De novo Assembly of Transcriptomes at Indiana University, 2018-2019. The complete workshop is free and open to the public compliments of the National Center for Genome Analysis Support (NCGAS). NCGAS is a manag

From playlist De novo Assembly of Transcriptomes

How Bionic Plants Will Change Everything!

Robots seem to be becoming more and more popular, as they make our lives easier and more efficient. Robots surrounded by organic material have made their way into pop culture with movies like Robocop. What would happen if we made a bionic plant? Trace reports on some new research showing h

From playlist DNews Favorites

M9A MoDRN Introduction to Biodegradation

Module 9: End of Life M9A MoDRN Introduction to Biodegradation This module introduces life cycle management and biodegradation concepts.

From playlist Introduction to Green Chemistry, Modules 7, 8, 9, 10 and Take Home Message

1.9-10: Packages : Intro to R for Biologists

Filmed during an in-person session of the Supercomputing for Everyone Series: Intro to R for Biologists workshop at Indiana University, 2018-2019. The complete workshop is free and open to the public compliments of the National Center for Genome Analysis Support (NCGAS). NCGAS is a man

From playlist Intro to R for Biologists

High Performance Computing (HPC) for Biologists at Indiana University

This workshop introduces IU Biology faculty, staff, and students to High Performance Computing (HPC) and the resources UITS Research Technologies (RT) makes available to them at IU to empower their research. This course follows on from the Introduction to HPC workshop and will cover the

From playlist High Performance Computing training

Ethical issues are always a silent part of each progressive system. So is the case with Biotechnology. There are several issues which pop up with the newer Experiments and when Organisms are used as Study models. All these issues are studied under the roof of Bioethics. Watch this video

From playlist Biology

1.11: More Help : Intro to R for Biologists

From playlist Intro to R for Biologists

Classes and Methods in R

From playlist Computing for Data Analysis (Roger Peng)

Dimension Reduction part 3 HD 720p

From playlist Exploratory Data Analysis

Julio Saez-Rodriguez: Networks of prior knowledge as frames to understand complex biological data

Modern technologies allow us to profile in high detail biomedical samples at fast decreasing costs. New technologies are opening new data modalities, in particular to measure at the single cell level. Prior knowledge, and biological networks in particular, are useful to integrate this data

From playlist Mathematics in Science & Technology

Susan Holmes, Stanford - Stanford Medicine Big Data | Precision Health 2016

Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.

From playlist Big Data in Biomedicine: Enabling Precision Health Conference 2016

Phys550 Lecture 9: Protein Overview

From playlist Illinois: Introduction to Biomolecular Physics - CosmoLearning.com Physics

Ben Callahan, Improving the accuracy and resolution of microbiome analysis

On February 29, 2016, Dr. Callahan delivered this talk at the annual CEHG symposium on Stanford campus. CEHG is Stanford's Center for Computational, Evolutionary and Human Genomics.

From playlist Stanford CEHG Speaker Playlist

Neurotransmitters: Type, Structure, and Function

We know that neurotransmitters are signaling molecules that travel across the synaptic space to interact with receptors and propagate signals from one neuron to the next. But what are these molecules? What are their structures? How do they work? Let's get a closer look! Watch the whole Bi

From playlist Biopsychology

Bioconductor

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