'Gene annotation' presentation slideshows

Introduction to bioinformatics

Introduction to bioinformatics. Barbera van Schaik b.d.vanschaik@amc.uva.nl. Bioinformatics Laboratory, KEBB, AMC http://www.bioinformaticslaboratory.nl/. What is bioinformatics?. A set of software tools for molecular sequence analysis

1.32k views • 97 slides

MAKER: An easy to use genome annotation pipeline

MAKER: An easy to use genome annotation pipeline. Carson Holt Yandell Lab Department of Human Genetics University of Utah. Introduction to Genome Annotation. What annotations are Importance of genome annotations Effect of next generation sequencing technologies on the annotation process.

948 views • 58 slides

MAKER: An easy to use genome annotation pipeline

MAKER: An easy to use genome annotation pipeline. Carson Holt Yandell Lab Department of Human Genetics University of Utah. Introduction to Genome Annotation. What annotations are Importance of genome annotations Effect of next generation sequencing technologies on the annotation process.

587 views • 58 slides

Data Management and Analysis issues in Microarray Data

Data Management and Analysis issues in Microarray Data. Aditya Phatak Persistent Systems Pvt. Ltd. http://www.persistent.co.in. Roadmap. Microarray technology basics Gene expression data analysis Microarray data management GeneChip Analysis Core at Washington University

689 views • 43 slides

Data Management and Analysis issues in Microarray Data

Data Management and Analysis issues in Microarray Data. Aditya Phatak Persistent Systems Pvt. Ltd. http://www.persistent.co.in. Roadmap. Microarray technology basics Gene expression data analysis Microarray data management GeneChip Analysis Core at Washington University

436 views • 43 slides

Properties of pseudogenes ( ?G)

Properties of pseudogenes ( ?G). Genomic DNA sequences Homology to known genes Non-functional copies No natural selection pressure Disablements: frameshifts & stop codons Small Indels Inserted repeats (LINE/Alu). Duplicated pseudogenes. Original Gene. Gene Duplication. Mutations.

1.74k views • 32 slides

Annotator Interface

Annotator Interface. Sharon Diskin GUS 3.0 Workshop June 18-21, 2002. Outline. Current annotation efforts Motivation for new annotation tool Requirements for new annotation tool Thoughts on design and implementation Future plans. Current Annotation Efforts. Overview of Current Efforts.

428 views • 29 slides

Model Organism Databases and Community Annotation

Gene Structure Annotation at TAIR. Model Organism Databases and Community Annotation. Philippe Lamesch curator@arabidopsis.org. Curator-User collaborations in various databases. Karen Yook. Issak Yosief Tecle. Donghui Li. Philippe Lamesch. TAIR. ESTs, cDNAs. TAIR. User submissions.

388 views • 29 slides

Gramene Outreach Summary 2005 Claire Hebbard Presented to the Gramene SAB January 13, 2006

371 views • 24 slides

Developed by James Estill, Dept. of Plant Biology, University of Georgia

301 views • 23 slides

Gene annotation: Metal transport & homeostasis Damien BLAUDEZ Annick BRUN Michel CHALOT

Gene annotation: Metal transport & homeostasis Damien BLAUDEZ Annick BRUN Michel CHALOT Barbara MONTANINI. UMR 1136 Interactions Arbres-Microorganismes. Metal transport & homeostasis in ECM fungi Why ?. At low metal concentrations: Tree nutrition is improved

359 views • 22 slides

What is Annotation?

What is Annotation?. Microbial Genome Annotation Network Training Workshop (supported by NSF RCN-UBE grant). Some Basic Definitions. We all feel comfortable with genes and genomes, but what is annotation?

377 views • 16 slides

Hidden Markov Models

Hidden Markov Models. Gil McVean Thursday 21 st February 2008. The occasionally dishonest casino. Suppose a casino typically uses a fair die, but every now and then switches to using one that biases to throwing 6s

248 views • 14 slides

Large Scale Genome Analysis : From 3D Structural Prediction and Modeling to the Encyclopedia of Life (EOL)

Large Scale Genome Analysis : From 3D Structural Prediction and Modeling to the Encyclopedia of Life (EOL). Wilfred Li, Ph.D. Integrative Biosciences Program San Diego Supercomputer Center University of California, San Diego. Gene Annotation. Biochemical Pathway. Gene Expression

269 views • 12 slides

Welcome to mini-symposium on ontologies for biological sample description

Welcome to mini-symposium on ontologies for biological sample description. EMBL-EBI Wellcome Trust Genome Campus Deceber 5, 2001. Sample annotations. Gene annotations. Gene Expression Database. Samples. Gene expression data matrix. Genes. Gene annotation.

116 views • 11 slides

The Gene Wiki: Community Intelligence Applied to Gene Annotation

The Gene Wiki: Community Intelligence Applied to Gene Annotation. FaceBase Kick-off Meeting November 16, 2009 Andrew Su, Ph.D. The biomedical literature is massive. Centralized curation efforts do not scale with the rapid growth of the biomedical literature.

113 views • 11 slides

Sequencing a genome

Sequencing a genome. (a) outline the steps involved in sequencing the genome of an organism; (b) outline how gene sequencing allows for genome-wide comparisons between individuals and between species;. Genome size & complexity. Increasing complexity. Viruses. Bacteria. Protozoa.

283 views • 8 slides

Research Problem

Research Problem . In one sentence, describe the problem that is the focus of your classroom research project about student learning: Biology students at my institution are not equipped to define and solve Big Data problems in biology. Research Question. What is your research question?

417 views • 4 slides

EBV Transcriptomes A) Black = BJAB Blue = BCBL-1 B) Purple (2) = BC-1

EBV Transcriptomes A) Black = BJAB Blue = BCBL-1 B) Purple (2) = BC-1 C) Orange (2) = BC-1 Lytic D) Red = JSC-1 E) Green = MutuIII. Figure S2: EBV Aligned Gene Annotation, Transcripts, & Proteins. EBV Proteomes A) None B) Purple = BC-1

125 views • 2 slides

Removal of low quality reads

Fig. S1. Software. Analytical workflow. Results. Sequence data. ABySS-tofastq. Removal of low quality reads. FASTX-toolkit. De novo assembly. Velvet & Oases. Removal of sequences shorter than 1,000 bp. Removal of highly similar sequences (similarity > 90%). Table 2. CD-HIT.

145 views • 1 slides