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Gene discovery using combined signals from genome sequence and natural selection

Gene discovery using combined signals from genome sequence and natural selection

Gene discovery using combined signals from genome sequence and natural selection. Michael Brent Washington University. The mouse genome analysis group. & processing. Genes are read out via mRNA. RNA Processing. A typical human gene structure. In a mammalian genome.

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558 views • 48 slides
Advanced Bioinformatics

Advanced Bioinformatics

Advanced Bioinformatics. Medicago Basic project: S tudy gene expression under a single condition. Team members. Jente Lifei Yuebang Nick. Our chosen eukaryotic organism:. Yeast. Input data. F astq files as sequence data G enome.fa file as a reference genome G enes.gtf.

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534 views • 45 slides
Oryza

Oryza

Oryza. Arjan van Zeijl Claire Lessa Alvim Kamei Robert van Loo Ruud Heshof. BIF-30806 8-3-2013. Goal. Generate a platform to analyze gene expression of Saccharomyces cerevisiae using RNAseq data.

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444 views • 25 slides
Plant Sunscreen: The Formation of Sinapoylmalate by O -Methyl Transferases

Plant Sunscreen: The Formation of Sinapoylmalate by O -Methyl Transferases

Plant Sunscreen: The Formation of Sinapoylmalate by O -Methyl Transferases. Beth Kauffman Under the Guidance of: Nick Anderson and Clint Chapple. Outline. Why are methyltransferases important? What is the phenotype of an atomt1 mutant

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389 views • 24 slides
Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar

Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar

The development of a RNA-sequencing pipeline based on tuxedo tools. Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar. Index . Dataset Pipeline 1 ( Tophat_cuff ) Pipeline 2 ( Cuff_diff ) Pipeline 3 (Summary) Conclusions Future prospects. Dataset.

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394 views • 23 slides
Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar

Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar

The development of a RNA-sequencing pipeline based on tuxedo tools. Martijn Derks Masoed Ramuz Nick Alberts Rico Hagelaar. Index . Dataset Pipeline 1 ( Tophat_cuff ) Pipeline 2 ( Cuff_diff ) Pipeline 3 (Summary) Conclusions Future prospects. Dataset.

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409 views • 23 slides
A Fast Hybrid Short Read Fragment Assembly Algorithm

A Fast Hybrid Short Read Fragment Assembly Algorithm

A Fast Hybrid Short Read Fragment Assembly Algorithm. Introduction. Second-generation DNA technologies Traditional : Sanger shotgun techniques New techniques(2007 & 2008): SSAKE, UCAKE and SHARCGS --based on greedy extension Edena, Velvet, Euler-SR --based on graph. Taipan Method: Two steps.

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236 views • 11 slides
Explicit length distribution models in Iscan

Explicit length distribution models in Iscan

Explicit length distribution models in Iscan. Lab meeting 8/20/2003 By Chaochun Wei. Length distribution models in Iscan. Explicit length distribution models: Exon and intron. Effect of the intron length limit. Effect of the smoothlization of the length distribution models.

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245 views • 8 slides
Intron Evolution Supplemental

Intron Evolution Supplemental

Intron Evolution Supplemental. Kemin Zhou Jan 14, 2011. 0.1. 7.29. Basidiomycota. cryneo1. 7.32. Agaricomycetes. copci1. 7.89. Lacbi1. 7.21. Tremellomycetes. Pospl1. Sporo1. 6.90. 7.08. Phchr1. Pucciniomycotina. Batde5. 5.9. Agaricomycotina. Chytridiomycota. 1.68. 80.

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198 views • 7 slides
Advanced Bioinformatics

Advanced Bioinformatics

Advanced Bioinformatics. Group Medicago Basic Project: Gene expression in yeast. Members. Jente Ottenburghs Lifei Li Yuebang Yin Nick Brouwers. Objectives. Make a top 100 of the most highly expressed genes Find correlations between gene expression & transcripts GC content

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194 views • 6 slides
Splicing Enhancer Scoring in ISCAN

Splicing Enhancer Scoring in ISCAN

Splicing Enhancer Scoring in ISCAN. Overview. Method SC35 splicing enhancer WMM (SELEX experiments by M. Zhang & A. Krainer, CHSL) 6-base long pattern Training set “Clean” set of 6051 Refseq genes (no alternative splicing) Results

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219 views • 4 slides

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