+ => Bioinformatics: from Sequence to Knowledge Outline: Introduction to bioinformatics The TAU Bioinformatics unit Useful bioinformatics issues and databases:

Slides:



Advertisements
Similar presentations
The Human Genome Project Main reference: Nature (2001) 409,
Advertisements

Introduction to genomes & genome browsers
ABSTRACT WormBase is a freely available information resource primarily for the nematode Caenorhabditis elegans but which progressively includes data from.
Basics of Comparative Genomics Dr G. P. S. Raghava.
Peter Tsai, Bioinformatics Institute.  University of California, Santa Cruz (UCSC)  A rapid and reliable display of any requested portion of genomes.
AP Biology Teaching Biology Through Bioinformatics Real world genomics research in your classroom Kim B. Foglia Division Ave. High School Levittown.
Let’s investigate some of the Hot Areas of Life Sciences in more detail: Genomics –Human Genome Project –Use of Microarrays or DNA chips Bioinformatics.
Tutorial 7 Genome browser. Free, open source, on-line broswer for genomes Contains ~100 genomes, from nematodes to human. Many tools that can be used.
How many transcripts does it take to reconstruct the splice graph? Introduction Alternative splicing is the process by which a single gene may be used.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. CHAPTER 18 LECTURE SLIDES.
Bioinformatics: a Multidisciplinary Challenge Ron Y. Pinter Dept. of Computer Science Technion March 12, 2003.
Bioinformatics and Phylogenetic Analysis
Workshop in Bioinformatics 2010 Class # Class 8 March 2010.
Modeling Functional Genomics Datasets CVM Lesson 1 13 June 2007Bindu Nanduri.
Visualization of genomic data Genome browsers. UCSC browser Ensembl browser Others ? Survey.
Human Genome Project Seminal achievement. Scientific milestone. Scientific implications. Social implications.
Doug Brutlag Professor Emeritus Biochemistry & Medicine (by courtesy) Genome Databases Computational Molecular Biology Biochem 218 – BioMedical Informatics.
LEQ: WHAT ARE THE BENEFITS OF DNA TECHNOLOGY & THE HUMAN GENOME PROJECT? to
Bioinformatics and it’s methods Prepared by: Petro Rogutskyi
Manifestations of a Code Genes, genomes, bioinformatics and cyberspace – and the promise they hold for biology education.
Introduction to Bioinformatics CPSC 265. Interface of biology and computer science Analysis of proteins, genes and genomes using computer algorithms and.
UCSC Genome Browser 1. The Progress 2 Database and Tool Explosion : 230 databases and tools 1996 : first annual compilation of databases and tools.
Genomes and Their Evolution. GenomicsThe study of whole sets of genes and their interactions. Bioinformatics The use of computer modeling and computational.
20.1 Structural Genomics Determines the DNA Sequences of Entire Genomes The ultimate goal of genomic research: determining the ordered nucleotide sequences.
IPlant Genomics in Education Workshop Genome Exploration in Your Classroom.
Literature reviews revised is due4/11 (Friday) turn in together: revised paper (with bibliography) and peer review and 1st draft.
Web Apollo and the VectorBase user community Gloria I. Giraldo-Calderón March 31, 2015.
Welcome to DNA Subway Classroom-friendly Bioinformatics.
Genomes and Genomics.
Ch. 21 Genomes and their Evolution. New approaches have accelerated the pace of genome sequencing The human genome project began in 1990, using a three-stage.
The Rise of Genomics AP Biology Fall The Human Genome Project  With the invention of PCR and automated sequencing, scientists argued for the sequencing.
Organizing information in the post-genomic era The rise of bioinformatics.
Browsing the Genome Using Genome Browsers to Visualize and Mine Data.
Genomics and Arabidopsis. What is ‘genomics’? Study of an organism’s entire genome –All the DNA encoded in the organism –Nucleus, mitochondria, chloroplasts.
Professional Development Course 1 – Molecular Medicine Genome Biology June 12, 2012 Ansuman Chattopadhyay, PhD Head, Molecular Biology Information Services.
Ontologies GO Workshop 3-6 August Ontologies  What are ontologies?  Why use ontologies?  Open Biological Ontologies (OBO), National Center for.
Bioinformatics Core Facility Guglielmo Roma January 2011.
Overview of Bioinformatics 1 Module Denis Manley..
WMU CS 6260 Parallel Computations II Spring 2013 Presentation #1 about Semester Project Feb/18/2013 Professor: Dr. de Doncker Name: Sandino Vargas Xuanyu.
Genes and Genomic Datasets. DNA compositional biases Base composition of genomes: E. coli: 25% A, 25% C, 25% G, 25% T P. falciparum (Malaria parasite):
OMICS International welcomes submissions that are original and technically so as to serve both the developing world and developed countries in the best.
EB3233 Bioinformatics Introduction to Bioinformatics.
Bioinformatics and Computational Biology
The iPlant Collaborative Vision Enable life science researchers and educators to use and extend cyberinfrastructure.
Alternative Splicing (a review by Liliana Florea, 2005) CS 498 SS Saurabh Sinha 11/30/06.
Bioinformatics for biologists Dr. Habil Zare, PhD PI of Oncinfo Lab Assistant Professor, Department of Computer Science Texas State University Presented.
Chapter 21 Genomes and Their Evolution. Genomics ______________ is a new approach to biology concerned with the study of the ___________ set of __________.
Bioinformatics Workshops 1 & 2 1. use of public database/search sites - range of data and access methods - interpretation of search results - understanding.
The iPlant Collaborative Vision Enable life science researchers and educators to use and extend cyberinfrastructure.
BINF6201/8201: Molecular Sequence Analysis Dr. Zhengchang Su Office: 351 Bioinformatics Building Office hours: Tuesday and Thursday:
Notes: Human Genome (Right side page)
Using public resources to understand associations Dr Luke Jostins Wellcome Trust Advanced Courses; Genomic Epidemiology in Africa, 21 st – 26 th June 2015.
Using DNA Subway in the Classroom Genome Annotation: Red Line.
1 Finding disease genes: A challenge for Medicine, Mathematics and Computer Science Andrew Collins, Professor of Genetic Epidemiology and Bioinformatics.
Bioinformatics Overview
Biological Databases By: Komal Arora.
Basics of Comparative Genomics
Introduction to bioinformatics
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Ensembl Genome Repository.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
LESSON 1 INTNRODUCTION HYE-JOO KWON, Ph.D /
BSC1010: Intro to Biology I K. Maltz Chapter 21.
Pairwise Sequence Alignment
Basics of Comparative Genomics
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Human Genome Project Seminal achievement. Scientific milestone.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Presentation transcript:

+ => Bioinformatics: from Sequence to Knowledge Outline: Introduction to bioinformatics The TAU Bioinformatics unit Useful bioinformatics issues and databases: the use of genome browsers, identifying gene splicing, pseudogenes, mutation severity prediction, PCR utilities, other useful tools In brief: High-throughput technologies and experimental options The protein space 1 Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University

The biotechnology revolution creates high-throughput data Late 60’s, early 70’s1980s21 st century 2 Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University

The human genome project (HGP) Francis Collins (chairman of the international project from the NIH): “I think this is probably the most important scientific effort that mankind has ever mounted. That includes splitting the atom and going to the moon” : Aim: to reveal the blueprint of human biology (3,000,000,000 letters). 3 Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University

4 The human genome project (HGP): sequencing strategies

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 5 Genomes for everyone =>

Huge amount of data What do we do with all this ??? 6 Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University

Goal: Make sense of bio-medical data using computer tools, and thereby bridge the gap between molecular biology and computer science. Data produced by Bio-Med labs & stored in database Analysis & better understanding BioinformaticsAlgorithms and Tools Enables large scale analysis and interpretation of data. Provides computational methods for global understanding of biological data. Why Bioinformatics ? 7 Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University

8 Bioinformatics topics are all linked together

– Bioinformatics helpdesk (phone or ) for short and urgent questions - Extended consultation, usually sets of appointments and many discussions are required before analysis is complete - Research is done as part of collaboration with Bio-Med labs., resulting in joined papers or/and grant proposal submission Consultation at TAU Bioinformatics Unit Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 9

Why use consultation when many databases and tools are free and easy-to-use ? Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 10 Bioinformatics is a huge and dynamic field New databases and tools are published every day, not all are good or even working, updates are crucial ! Choosing parameters for bioinformatics tools can be tricky and may change results dramatically !!! IS Not always there IS a bioinformatics solution to every question, if not today, maybe tomorrow !

Rules of thumb ! Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University Use bioinformatics ! Google for new tools ! It is best to use bioinformatics tools at the planning stage of experiment, and not after performing it Make sure you use at least 2-3 different algorithms, with different parameters, rely mainly on results that agree using different analyses Stick to mainstream databases and tools, as databases vary in content, reliability, updates and handiness When you compare experiments, you are comparing the combination of the experiment and the analysis, which may vary Do not hesitate to contact us if you have questions, as experience may save you time and efforts 11

NameTel.Activity Dr. Metsada Pasmanik-Chor x 6992Genomics, DNA and proteins sequence analysis, microarray and Next Generation design and analysis Adva Yeheskel x 6840Proteomics and structural biology Dr. Orly Yaron and Dr. Shira Modai x 5251Microarray and next generation sequencing design and experiments (wet lab) Bioinformatics students, projects Collaborations in student projects on various subjects Goals: bioinformatics teaching, scientific research and grant proposal collaborations Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University TAU Bioinformatics Unit Web-page: 12

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 13 TAU Bioinformatics Unit Web-page:

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 14 Sequence analysis: a multistep process Homolog genes: derived from a common ancestral gene Ortholog genes: rising from speciation Paralog genes: duplication of a chromosomal segment HomoloGene database:

Homologues and Sequence Conservation = Functionality TACATTTCGACTATAAATGCGTATCGCCTCGCAACCCAA Conservation scale sequence A A diverged CTATAAATGCGT CTATAAATGCGT conserved 80 million years potential functional region Metsada Pasmanik-Chor, Ph.D. TAU Bioinformatics Unit 15

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 16

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 17 Working example: the human estrogen receptor alpha RefSeq Genes: NM_ NM_ NM_ NM_ NM_ NM_ : [provided by RefSeq, Mar 2014].

UCSC: Splicing events Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 18 The UCSC genome browser Dec (GRCh38/hg38) Assembly ?

ESR1 [NM_ ] chr6: , strand + Genomic length: bps, 10 exons Inetrgenic region Intronic region Transposons and repeats Coding exons * D538G Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 19 ECR Browser

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 20 - An integrated database of human genes that includes automatically-mined genomic, proteomic and transcriptomic information, as well as orthologies, disease relationships, SNPs, gene expression, gene function, and service links for ordering assays and antibodies. A collection of useful information concerning all human genes.

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 21 GeneAtlas: UCSC Genome Browser on Human Mar (NCBI36/hg18)

Dr. Metsada Pasmanik-Chor, Bioinformatics Unit, Tel Aviv University 22 Today’s workshop