Chapter 18: Problem 17
Metagenomics studies generate very large amounts of sequence data. Provide examples of genetic insight that can be learned from metagenomics.
Chapter 18: Problem 17
Metagenomics studies generate very large amounts of sequence data. Provide examples of genetic insight that can be learned from metagenomics.
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Get started for freeIn Section 18.8 we briefly discussed The Human Proteome Map (HPM). An interactive Web site for the HPM is available at http:I/ www.humanproteomemap.org. Visit this site, and then answer the questions in parts (a) and (b) and complete part (c). (a) How many proteins were identified in this project? (b) How many fetal tissues were analyzed? (c) Use the "Query" tab and select the "Gene family" dropdown menu to do a search on the distribution of proteins encoded by a pathway of interest to you. Search in fetal tissues, adult tissues, or both.
BLAST searches and related applications are essential for analyzing gene and protein sequences. Define BLAST, describe basic features of this bioinformatics tool, and give an example of information provided by a BLAST search.
Describe the significance of the Genome 10K project.
The Human Genome Project has demonstrated that in humans of all races and nationalities approximately 99.9 percent of the genome sequence is the same, yet different individuals can be identified by DNA fingerprinting techniques. What is one primary variation in the human genome that can be used to distinguish different individuals? Briefly explain your answer.
Through the Human Genome Project (HGP), a relatively accurate human genome sequence was published from combined samples from multiple individuals. It serves as a reference for a haploid genome. How do results from personal genome projects (PGP) differ from those of the HGP?
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