videos
I made this video (below the fold) to illustrate the steps involved in making a phylogenetic tree. The basic steps are to:
Build a data set
Align the sequences
Make a tree
In the class that I'm teaching, we're making these trees in order to compare sequences from our metagenomics experiment with the multiple copies of 16S ribosomal RNA (rRNA) genes that we can find in single bacterial genomes. Bacteria contain between 2 to 13 copies of 16S rRNA genes and we're interested in knowing how much they differ from each other. Later, we'll compare the 16S ribosomal RNA genes from multiple species…
Have you ever wondered how to view and annotate molecular structures? At least digital versions?
It's surprisingly easy and lots of fun.
Here's a movie I made that demonstrates how you can use Cn3D, a free structure-viewing program from the NCBI. Luckily, Cn3D behaves almost the same way on both Windows and Mac OS X.
Introduction to Cn3D from Sandra Porter on Vimeo.
Conflicts between predators like cougars and coyotes and human companions like pets and small children are becoming more common as people move into areas that used to be wildlife habitat.
The Seattle Times has a great story this morning about biologists in Washington who are studying cougars to learn if cougars and people can coexist. The biologists think most of the trouble might be caused by teenage male cougars who move in to the territory when the older, smarter males get killed.
There's also a cool video
Do different kinds of biomes (forest vs. creek) support different kinds of bacteria?
Or do we find the same amounts of each genus wherever we look?
Those are the questions that we'll answer in this last video. We're going to use pivot tables and count all the genera that live in each biome. Then, we'll make pie graphs so that we can have a visual picture of which bacteria live in each environment.
The parts of this series are:
I. Downloading the data from iFinch and preparing it for analysis. (this is the video below) (We split the data from one column into three).
II. Cleaning up the data…
This is third video in our series on analyzing the DNA sequences that came from bacteria on the JHU campus.
In this video, we use a pivot table to count all the different types of bacteria that students found in 2004 and we make a pie graph to visualize the different numbers of each genus.
The parts of this series are:
I. Downloading the data from iFinch and preparing it for analysis. (this is the video below) (We split the data from one column into three).
II. Cleaning up the data
III. Counting all the bacteria
IV. Counting the bacteria by biome
Part III. Pivot tables from Sandra Porter on…
What do you do after you've used DNA sequencing to identify the bacteria, viruses, or other organisms in the environment?
What's the next step?
This four part video series covers those next steps. In this part, we learn that a surprisingly large portion of bioinformatics, or any type of informatics is concerned with fixing data entry errors and spelling mistakes.
The parts of this series are:
I. Downloading the data from iFinch and preparing it for analysis. (this is the video below) (We split the data from one column into three).
II. Cleaning up the data
III. Counting all the bacteria…
For the past few years, I've been collaborating with a friend, Dr. Rebecca Pearlman, who teaches introductory biology at the Johns Hopkins University. Her students isolate bacteria from different environments on campus, use PCR to amplify the 16S ribosomal RNA genes, send the samples to the JHU core lab for sequencing, and use blastn to identify what they found.
Every year, I collect the data from her students' experiments. Then, in the bioinformatics classes I teach, we work with the chromatograms and other data to see what we can find.
This is the first part of a four part video series…