PPT-Genome Annotation BCB 660

October 20 2011 From Carson Holt Annotations Automated Ab initio based on genomic sequence alone Involves comparisons to known proteins BLAST similarity Sequence motifs such as startstop . Denovo genome Denovo genome outline outline novogenome from contigs from assembled contigs annotation Denovo genome Denovo genome Reads contig Gene Gene Annotation Gene Annotation Forgene A Web-based Genomics Annotation Editing Platform. Ed Lee, Gregg . Helt. , Justin Reese, Monica Munoz-Torres*, Christopher Childers, Rob . Buels. , Lincoln Stein, Ian Holmes, Christine . Elsik. , Suzanna Lewis. CALIFORNIA. User name: . acf. -guest. Password: Illinois123. Please use Chrome. Teaching materials for today:. https://. uofi.box.com. /. webapollo. An introduction to Web Apollo.. Manual Annotation Workshop at UIUC. The Plot. Deepak . Purushotham. Hamid Reza . Hassanzadeh. Haozheng. . Tian. Juliette . Zerick. Lavanya. . Rishishwar. Piyush. . Ranjan. Lu Wang. The Outline. The Need & The Requirement. The Options. A webinar for the i5K Pilot Species Projects . Monica Munoz-Torres, PhD. Biocurator & Bioinformatics Analyst | @monimunozto. Genomics Division, Lawrence Berkeley National Laboratory. 04 February, 2014. BCB 660. October 20, 2011. From Carson Holt. Annotations. Automated. Ab. initio. (based on genomic sequence alone). Involves comparisons to known proteins (BLAST similarity). Sequence motifs such as start/stop . Daniel Standage. Biology Department. Indiana University. An-no-ta-. tion. . \ˌa. -. nə. -ˈ. tā-. shən. \. A critical or explanatory note or body of notes added to a text. The act of annotating. Last Updated: 12/26/2021. Wilson Leung and Chris Shaffer. Agenda. Overview of the GEP annotation project. GEP annotation strategy. Types of evidence. Analysis tools. Web databases. Annotation of a single isoform (walkthrough). Lecture 3. Gene Finding and Sequence Annotation. Objectives of this lecture. Introduce you to basic concepts and approaches of gene finding. Show you differences between gene prediction for prokaryotic and eukaryotic genomes. Loren Hauser. Miriam Land. Yun-Juan Chang. Frank Larimer. Doug Hyatt. Cynthia Jeffries. NEB Educational Support. 2. http://www.neb.com/nebecomm/course_support.asp?. Why study Computational Biology. . HHMI Logistics. . Name badges must be worn at all times. Restrooms. No roaming through the building. Questions? – Ask . us. Refreshments . (keep to the schedule). Technology. Live Streaming. The microphones. a . Tool for Online Annotation and . Curation. Dorrie Main, Taein Lee, Ping . Zheng. , Sook Jung, Stephen P. Ficklin, Jodi Humann, . Jill . Wegrzyn.  and David Neale. What is . GenSAS. ?. It is a web-based . However, genomes are large and complex and visualizing this information is not easy. You need to imagine that the raw annotation information, by itself, can be contained in a text file, which could include positional information (coordinates relative to the reference genome) and different features (e.g. annotation type – gene, mRNA, intron/exon, variant, UTR, etc.). Nikos. . Kyrpides. DOE . Joint Genome institute. Two main goals of genome analysis:. Evolutionary analysis. How does an organism compare to the rest?. Metabolic reconstruction. What can an organism do and how?.