'Protein coding' diaporamas de présentation

Human GENOME PROJECT Ethical Issues

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RNA folding & ncRNA discovery

I519 Introduction to Bioinformatics, Fall, 2012. RNA folding & ncRNA discovery. Adapted from Haixu Tang. Contents. Non-coding RNAs and their functions RNA structures RNA folding Nussinov algorithm Energy minimization methods microRNA target identification. RNAs have diverse functions.

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Origins and Evolution of Novel Genes

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The ENCODE Project + After Party !!!!!

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This Friday 10am Beckman B-200 Introduction to text processing lingos.

This Friday 10am Beckman B-200 Introduction to text processing lingos. Lecture 3. Genome Content: Repetitive Sequences Genes. Our Place in the Tree of Life. ? you are here. [Human Molecular Genetics, 3rd Edition]. Metazoans (multi-cellular organisms). ? you are here.

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Reference books: Molecular Biology of the Cell, 4th edition, by B. Alberts et al., 2002. Molecular Cell Biology, 5th ed

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The standard model of the eukaryotic gene

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Topic Outline

Network Biology Data Biological, Conceptual and Computational Issues around Network, System, and Pathway Data The Abstract and The Concrete. Topic Outline. Lessons from Genome Program and Abstract Ideas to transform data to information when looking at systems data.

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The C onsensus C o D ing S equence (CCDS) Database

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Comparative genomics in flies and mammals

Comparative genomics in flies and mammals. Manolis Kellis. Broad Institute of MIT and Harvard. MIT Computer Science & Artificial Intelligence Laboratory. Post-duplication. 9 Yeasts. Pre-dup. P. Diploid. P. P. P. 8 Candida. Haploid. P. P. Resolving power in mammals, flies, fungi.

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Biological Sequence Analysis

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Finding the genes in microbial genomes Natalia Ivanova MGM Workshop September 16, 2008

Finding the genes in microbial genomes Natalia Ivanova MGM Workshop September 16, 2008. Introduction Tools out there Basic principles behind tools Known problems of the tools: why you may need manual curation. Outline. Introduction (who said annotating prokaryotic genomes is easy?)

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Finding the genes in microbial genomes Natalia Ivanova MGM Workshop February 3, 2009

Finding the genes in microbial genomes Natalia Ivanova MGM Workshop February 3, 2009. Introduction Tools out there Basic principles behind tools Known problems of the tools: why you may need manual curation. Outline. Introduction (who said annotating prokaryotic genomes is easy?)

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Modelling genomes

Modelling genomes. Gil McVean Department of Statistics, Oxford. Why would we want to model a genome?. To identify genes Protein-coding RNA Small RNAs To identify regulatory elements Transcription factor binding sites Enhancers To classify genome content Repeat DNA Unique sequence

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Overview

Prediction of non-coding RNA and proteins involved in RNAi Michael Muratet, Gopi Podila 3 rd Workshop of the Laccaria Genome Consortium INRA-Nancy 4-5 April, 2006. Overview. Search for non-protein coding RNAs tRNAs, rRNAs, etc. Search for components of RNAi

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A turbo intro to (the bioinformatics of) microRNAs 11/6 2009 Peter Hagedorn

A turbo intro to (the bioinformatics of) microRNAs 11/6 2009 Peter Hagedorn. Discovery of microRNA. The first described microRNA , lin-4 , was cloned and characterised as a translational repressor of developmental timing from C. elegans by Lee et al (1993) and Wightman et al (1993).

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The Xist RNA Gene Evolved in Eutherians by Pseudogenization of a Protein-Coding Gene

The Xist RNA Gene Evolved in Eutherians by Pseudogenization of a Protein-Coding Gene. Duret et al. (2006). Background. Gene dosage is compensated by X-chromosome inactivation (XCI) In eutherians, XCI involves the Xist gene and the X inactivation center ( Xic )

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Problem 1

Problem 1.

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Random

Figure S1: Clustering analysis of the expression ratio of the sense and antisense pair of transcripts. Flag. Random. dT. A. A. C. D. E. B. (Protein-Coding / Non-Coding). F. C. (Non-Coding / Non-Coding). B. Sense : Antisense = 3:1. Cancer. Normal. Sense : Antisense = 1:1. D. E.

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