'Read length' presentation slideshows

GRC Workshop

GRC Workshop. ASHG. 22 Oct 2013. Outline Reference Assembly Basics GRC: Assembly management and dataflow GRCh38 Accessing the assembly and data. http://genomereference.org. Reference Assembly Basics. What is the Reference Assembly?. An assembly is a MODEL of the genome.

1.27k views • 113 slides

Hybrid error correction and de novo assembly of single-molecule sequencing reads

Hybrid error correction and de novo assembly of single-molecule sequencing reads. Presented by George Roberts III.

914 views • 64 slides

MCB 5472 Lecture 2 Feb 3/14

MCB 5472 Lecture 2 Feb 3/14. GenBank continued Primer: Genome sequencing and assembly. Genbank. Founded in 1982 at the Los Alamos National Laboratory Initially managed at Stanford in conjunction with the BIOSCI/ Bionet news groups 1989-92 transition to the NCBI on the east coast

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Lecture 5. Sequence Assembly

Lecture 5. Sequence Assembly. The Chinese University of Hong Kong CSCI3220 Algorithms for Bioinformatics. Lecture outline. The sequence assembly problem Several general approaches Related graph problems Hamiltonian path Eulerian path Sequence assembly by using de Bruijn graphs. Part 1.

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????????????????? ? ?? ????? ?? ?? ? ???????????. ??? ????????????? ??????? pangenome ?????? ???????????? ? ??? 16S ?? WGS ?? ?????. Diversity of the microbial universe. Acquire genes from environment Conjugation Transformation Phage infection (transduction).

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?????????????????? ????????? ??? ???????????. ??? ????????????? ??????? pangenome ?????? ???????????? ???? 16S ?? WGS ?? ?????. Diversity of the microbial universe. Acquire genes from environment Conjugation Transformation Phage infection (transduction).

776 views • 44 slides

Assembly Group Presentation II

Assembly Group Presentation II. Robert Arthur Kevin Lee Xing Liu Pushkar Pande Gena Tang Racchit Thapliyal Tianjun Ye. Presentation Overview. Sequencing Methods Experimental comparison of De Bruijn graph and Overlay graph assemblers Preliminary Results Lab Exercise. Sequencing Methods.

518 views • 43 slides

Informatics challenges and computer tools for sequencing 1000s of human genomes

565 views • 41 slides

Data analysis methods for next-generation sequencing technologies

Data analysis methods for next-generation sequencing technologies. Gabor T. Marth Boston College Biology Department Epigenomics & Sequencing Meeting July 14-15, 2008, Boston, MA. T1. Roche / 454 FLX system. pyrosequencing technology variable read-length

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Variation Detections and De novo Assemblies from Next-gen Data

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Outline

Outline. Course outline Course website Bioinformatics facility account Lecture/discussion: Introduction to sequencing technologies. Intro: sequencing and the data deluge. Changes in instrument capacity over the past decade, and the timing of major sequencing projects.

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RNA- Seq Assembly: Fundamental Limits, Algorithms and Software

RNA- Seq Assembly: Fundamental Limits, Algorithms and Software. David Tse Stanford University Symposium on Turbo Codes and Iterative Information Processing Bremen, Germany August 20, 2014. Joint work with Sreeram Kannan and Lior Pachter .

463 views • 36 slides

Cancer Genome Assemblies and Variations between Normal and Tumour Human Cells

Cancer Genome Assemblies and Variations between Normal and Tumour Human Cells. Zemin Ning The Wellcome Trust Sanger Institute. Outline of the Talk:. Project Background Why De novo Assembly The New Phusion Pipeline Kmer Words Hashing Relational Matrix 454 Reads and Assembly

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Sequence Assembly for Single Molecule Methods

Sequence Assembly for Single Molecule Methods. Steven Skiena, Alexey Smirnov Department of Computer Science SUNY at Stony Brook {skiena, alexey}@cs.sunysb.edu. The State of Sequence Assembly.

455 views • 20 slides

OpenSource Network Library HalfNetwork

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548 views • 16 slides

Library QA & QC

Library QA & QC. Day 1, Video 3 Experimental considerations for library construction Considerations for input material Quantification by Qubit Quality control by Bioanalyzer Quantification and quality control by qPCR. Experimental considerations. Single read vs. Paired end reads

474 views • 14 slides

Detailed parameters

Detailed parameters. SOAP3-DP. Step 1: SOAP3 (2 mismatches). Case 1:. YES. YES. Report the alignments. Insert size is within range. Step 1: SOAP3 (2 mismatches). r ead 2. read 1. Insert size is out of range. Case 2:. YES. YES. Let x = # of all valid hits of read 1.

228 views • 14 slides