Difference between revisions of "DNA melting lab wiki pages"
From Course Wiki
(→DNA melting lab) |
|||
(9 intermediate revisions by 3 users not shown) | |||
Line 4: | Line 4: | ||
* [[DNA Melting Part 1: Measuring Temperature and Fluorescence]] | * [[DNA Melting Part 1: Measuring Temperature and Fluorescence]] | ||
* [[DNA Melting Report Requirements for Part 1]] | * [[DNA Melting Report Requirements for Part 1]] | ||
+ | * [[DNA Melting: Model function and parameter estimation by nonlinear regression]] | ||
+ | * [[DNA Melting: Simulating DNA Melting - Intermediate Topics]] | ||
+ | * [[DNA melting: Identifying the unknown sample]] | ||
* [[DNA Melting Part 2: Lock-in Amplifier and Temperature Control]] | * [[DNA Melting Part 2: Lock-in Amplifier and Temperature Control]] | ||
* [[DNA Melting Report Requirements for Part 2]] | * [[DNA Melting Report Requirements for Part 2]] | ||
Line 13: | Line 16: | ||
===Reference materials=== | ===Reference materials=== | ||
+ | * [[DNA Melting Thermodynamics]] | ||
* [[DNA Melting: DNA Sequences]] | * [[DNA Melting: DNA Sequences]] | ||
+ | * [http://mfold.rna.albany.edu/?q=DINAMelt/Hybrid2 DINAMelt Web Server] | ||
===Background reading=== | ===Background reading=== | ||
* [[Electronics Primer]] | * [[Electronics Primer]] | ||
<!-- * [[Real electronics]] --> | <!-- * [[Real electronics]] --> |
Latest revision as of 14:33, 21 April 2016
Contents
DNA melting lab
Lab manuals
- Lab Manual:Measuring DNA Melting Curves
- DNA Melting Part 1: Measuring Temperature and Fluorescence
- DNA Melting Report Requirements for Part 1
- DNA Melting: Model function and parameter estimation by nonlinear regression
- DNA Melting: Simulating DNA Melting - Intermediate Topics
- DNA melting: Identifying the unknown sample
- DNA Melting Part 2: Lock-in Amplifier and Temperature Control
- DNA Melting Report Requirements for Part 2
Code examples and simulations
- DNA Melting: Simulating DNA Melting - Basics
- DNA Melting: Simulating DNA Melting - Intermediate Topics
- DNA Melting: Model function and parameter estimation by nonlinear regression