'Sequence similarity' presentation slideshows

Databases

Databases. Where to get data?. GenBank http://www.ncbi.nlm.nih.gov Protein Databases SWISS-PROT: http://www.expasy.ch/sprot PDB: http://www.pdb.gov/ And many others. Bibliography. Growth in genome sequencing. gaps. Working Draft Sequence. The reagent: databases.

1.52k views • 129 slides

NESCent Summer School: Environmental tag sequencing and metagenomics

NESCent Summer School: Environmental tag sequencing and metagenomics. Dr Konrad Paszkiewicz Exeter Sequencing Service, University of Exeter, UK. Environmental sequencing ? Metagenomics ?. Wooley JC, Godzik A, Friedberg I, 2010 A Primer on Metagenomics. PLoS Comput Biol 6(2). Overview.

1.13k views • 86 slides

Christopher M. Sales Drexel University March 12, 2013

Application of high-throughput molecular biology technologies to biological processes for biodegradation & bioenergy production from wastewater. Christopher M. Sales Drexel University March 12, 2013. The Amazing Microbial World.

766 views • 61 slides

Tracking down ncRNAs in the genomes

Tracking down ncRNAs in the genomes. How to find ncRNA gene. The stability of ncRNA secondary structure is not sufficiently different from the predicted stability of a random sequence. [Rivas and Eddy Bioinformatics (2000)]. RNA secondary structure prediction problem.

620 views • 55 slides

Lecture 2: Introduction to Computational Biology

Lecture 2: Introduction to Computational Biology. Alexei Drummond. Outline. Sequences and sequence databases Similarity and Homology Sequence alignment Dot plots Database searches for similar sequences. Sequence.

585 views • 45 slides

Sequence Analysis

Sequence Analysis. Millions of entries of protein and nucleotide data now in databases - How to convert this to useful information?

894 views • 42 slides

Functional annotation Datasources Konstantinos Mavrommatis Kmavrommatis@lbl

558 views • 41 slides

547 views • 40 slides

Riboswitches

1.07k views • 40 slides

Influenza H1N1 A: A close insight

Influenza H1N1 A: A close insight. Dr. Mustafa Ababneh Molecular Virologist. Outlines. Virus structure, proteins and functions Influenza A replication Influenza A Reassortment Identification of reassortment Alignment of Current H1N1 influenza viruses , and between H1N1 and H5N1.

534 views • 38 slides

Biological Databases Pharmamatrix Workshop 2010 Philip Winter Ishwar V. Hosamani

286 views • 28 slides

Changjun Wu, Ananth Kalyanaraman School of Electrical Engineering and Computer Science

An Efficient Parallel Approach for Identifying Protein Families from Large-scale Metagenomics Data. Changjun Wu, Ananth Kalyanaraman School of Electrical Engineering and Computer Science Washington State University. Outline. Problem Introduction Related Work

402 views • 28 slides

Integration II

302 views • 23 slides

Checkpointing-based Rollback Recovery for Parallel Applications on the InteGrade Grid Middleware

356 views • 22 slides

Application of Unstructured Learning in Computational Biology

Application of Unstructured Learning in Computational Biology. Tony C Smith Department of Computer Science University of Waikato tcs@cs.waikato.ac.nz. Computability. Before computers were built, mathematicians knew what they could do arithmetic (e.g. missile trajectories)

267 views • 19 slides

MicroRNA identification based on sequence and structure alignment

294 views • 19 slides

On line (DNA and amino acid) Sequence Information

On line (DNA and amino acid) Sequence Information. Lecture 7. Bioinformatcs Databases. The Biological data, generated by various labs, is submitted and stored in specific databases is : The data can be : Nucleotide : DNA and mRNA (cDNA) Proteins sequences

302 views • 18 slides

Pairwise Sequence Analysis-I

301 views • 12 slides

Introduction

Compound. Compound. T/C 6h [%] (at 50 ? M). Remaining activity at 10 u M. T/C 48h [%] (at 50 ? M). T/C 6h -T/C 48h [%]. Toxic. Antiproliferative. IC 50 [ ? M ]. 8a. 40%. 8a. 89.267. 22.641. 66.626. No. Yes. 20.21. 8b. 100%. 8b. 82.73. 34.51. 48.22. No. No. 8c.

63 views • 1 slides

Semantic Similarity Measures Across The Gene Ontology.

Semantic Similarity Measures Across The Gene Ontology. Relating Sequence to Annotation. P.W. Lord, R.D. Stevens, A.Brass, and C. Goble Department of Computer Science, The University of Manchester, M13 9PL, UK. p.lord@russet.org.uk. Validation

173 views • 1 slides