'Bioinformatics' presentation slideshows

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Introduction to Bioinformatics

Introduction to Bioinformatics

Introduction to Bioinformatics. Lecturer: Prof. Yael Mandel-Gutfreund Teaching Assistance: Rachelly Normand Alona Rabner Leon Anavi. Course web site : http://webcourse.cs.technion.ac.il/236523. What is Bioinformatics?. Course Objectives.

By lotus
(234 views)

DISTRIBUTING BIOINFORMATICS APPLICATIONS WITH PIPER

DISTRIBUTING BIOINFORMATICS APPLICATIONS WITH PIPER

DISTRIBUTING BIOINFORMATICS APPLICATIONS WITH PIPER. J.W. Bizzaro. THE PIPER PARADIGM. Everything is a self-contained object or “node”. Certain nodes input and/or output data flow. Nodes can be linked to define paths of data flow, procedural steps, and relationships.

By emily
(227 views)

LESSON 5: Learning to Use Molecular Models

LESSON 5: Learning to Use Molecular Models

LESSON 5: Learning to Use Molecular Models. PowerPoint slides to accompany Using Bioinformatics: Genetic Testing. Chowning, J., Kovarik, D., Grisworld, J., Porter, S., Spitze, J., Farris, C., and K. Petersen.  Using Bioinformatics: Genetic Testing. Updated March 2015. .

By neviah
(307 views)

Introduction to Bioinformatic

Introduction to Bioinformatic

Introduction to Bioinformatic. Biotechnology Dept. Dr Arshad Hosseini School of Allied Medical Sciences Iran University of Medical Sciences Introduction to Bioinformatic Workshop. What is bioinformatics?. Bioinformatics : word was coined in 1978 Bio- : life

By Rita
(191 views)

The identification of “all” spliced variants is an acknowledged goal of the encode project.

The identification of “all” spliced variants is an acknowledged goal of the encode project.

A brief summary of the status of experimental and computational methods for identification of functional DNA elements related to alternative splicing in Drosophila Steve Mount D-encode Dec. 5, 2004. The identification of “all” spliced variants is an acknowledged goal of the encode project. .

By Samuel
(131 views)

Bioinformatics:

Bioinformatics:

Bioinformatics:. An instructional opportunity for academic science and engineering libraries Erja Kajosalo. What will I talk about today…. Present findings of a study on bioscience at MIT Discuss academic science/engineering libraries roles in teaching bioinformatics tools. Background.

By oswald
(166 views)

Malin Larsson, malin.larsson@scilifelab.se

Malin Larsson, malin.larsson@scilifelab.se

NBIS The national bioinformatics infrastructure Sweden www.scilifelab.se /platforms/bioinformatics /. Malin Larsson, malin.larsson@scilifelab.se. SciLifeLab. SciLifeLab. National service. Local scientific center. Director (July 2015) Olli Kallioniemi Co-director Kerstin Lindblad-Toh.

By wilmer
(112 views)

Pharmacogenomics Market By 2017

Pharmacogenomics Market By 2017

Bioinformatics Market report categorizes the global market by Application (Genomics, Proteomics

By guest96055
(152 views)

HPC User Forum 16 th October 2008

HPC User Forum 16 th October 2008

HPC User Forum 16 th October 2008. Professor Chris Hankin. Imperial at a glance. The University’s objectives: world class scholarship, education and research in science, technology and medicine interdisciplinary collaborations

By wayne
(91 views)

Pairwise Local Alignment and Database Search

Pairwise Local Alignment and Database Search

Pairwise Local Alignment and Database Search. Csc 487/687 Computing for Bioinformatics. Which Program should one use?. Most researchers use methods for determining local similarities: Smith-Waterman (gold standard) FASTA BLAST. }. Do not find every possible alignment

By bian
(153 views)

Meaningful Professional Development and Innovative Teaching Strategies

Meaningful Professional Development and Innovative Teaching Strategies

Meaningful Professional Development and Innovative Teaching Strategies. Britta Culbertson Einstein Distinguished Educator Fellow Washington, DC, USA. Who am I?. H igh school teacher in 9 th and 10 th integrated science and visual arts 10 years of classroom experience

By gyala
(118 views)

Accuracy varies from simply identifying the correct fold to generating a high resolution model

Accuracy varies from simply identifying the correct fold to generating a high resolution model

COMPARATIVE or HOMOLOGY MODELING. The aim is to build a 3-D model for a protein of unknown structure ( target ) on the basis of sequence similarity to proteins of known structure ( templates ). Accuracy varies from simply identifying the correct fold to generating a high resolution model

By crete
(101 views)

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes

Transactional Database Transformation and Its Application in Prioritizing Human Disease Genes. Yang Xiang Department of Biomedical Informatics, The Ohio State University Homepage: http://bmi.osu.edu/~yxiang

By chet
(130 views)

INTRODUCTION

INTRODUCTION

Fuzzy Clustering of Metagenome Reads. Shruthi Prabhakara , Raj Acharya Department of Computer Science and Engineering, Pennsylvania State University. INTRODUCTION.

By stuart
(68 views)

Background

Background

By hubert
(44 views)

Phylogenetic Trees

Phylogenetic Trees

Tutorial 5. Phylogenetic Trees. Agenda. How to construct a tree using Neighbor Joining algorithm Phylogeny.fr tool Cool story of the day: Horizontal gene transfer. Neighbor Joining Algorithm. Constructs an unrooted guide tree from a distance matrix

By roana
(115 views)

WHAT ASSUMPTIONS DO YOUR COLLEAGUES HAVE ABOUT WHAT YOU DO?

WHAT ASSUMPTIONS DO YOUR COLLEAGUES HAVE ABOUT WHAT YOU DO?

After 10 years and a transition from non-tenure track to tenure track to tenure… . “Wow, I can’t believe that you think that hard about your teaching ”. “Wow, I can’t believe that you can be so scientific about your teaching .”

By manjit
(79 views)

CiteGraph : A Citation Network System for MEDLINE Articles and Analysis

CiteGraph : A Citation Network System for MEDLINE Articles and Analysis

CiteGraph : A Citation Network System for MEDLINE Articles and Analysis. Qing Zhang 1,2 , Hong Yu 1,3 1 University of Massachusetts Medical School, Worcester, MA, USA 2 University of Wisconsin Milwaukee, Milwaukee, Milwaukee, WI, USA 3 VA Central Massachusetts, Leeds, MA, USA. Outline.

By lolita
(290 views)

Improving Protein-Ligand Binding Affinity Prediction using Random Forest

Improving Protein-Ligand Binding Affinity Prediction using Random Forest

Improving Protein-Ligand Binding Affinity Prediction using Random Forest. Hongjian Li Department of Computer Science and Engineering Chinese University of Hong Kong 1 April 2014 http :// istar.cse.cuhk.edu.hk JackyLeeHongJian@Gmail.com. Protein-Ligand Docking.

By morag
(223 views)

Measuring transcriptomes with RNA-Seq

Measuring transcriptomes with RNA-Seq

Measuring transcriptomes with RNA-Seq. BMI 877 Spring 2014 Colin Dewey cdewey@biostat.wisc.edu. Overview. Some motivation: axolotl RNA-Seq technology The RNA-Seq quantification problem Generative probabilistic models and Expectation-Maximization for the quantification task.

By gizi
(117 views)

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