{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Lecture Handout 2 - BIOT 101 Lecture Handout 2...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
BIOT 101 Lecture Handout 2 Bioinformatics Vocabulary Accession number Bioinformatics Biological database Boolean logical operators Coding sequence (CDS) Computational biology Entrez FASTA Locus NCBI Source organism Techniques and protocols to master Using the Entrez data base and Google, be able to retrieve DNA sequence data, scientific literature, genome maps and information regarding the structure of proteins based upon gene and/or protein name, organism name and accession number. Be able to use Boolean qualifiers in your searches. Be able to interpret the results returned by Entrez Nucleotide for the following information: Accession number; type of nucleic acid represented by the sequence; species from which the nucleic acid was isolated; citation information including authors, journal and title of the paper; amino acid sequence encoded for by the gene; nucleotide sequence of the gene. Be able to switch to FASTA display and copy a sequence into a different program. Objectives Understand what Boolean qualifiers are and how they are applied when searching databases. Understand what Entrez is and the type of data that is accessible through Entrez.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
BIOT 101 Lecture Handout 2 Bioinformatics I. Over the past few decades, major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to an explosive growth in the amount of biological information generated by the scientific community. This deluge of genomic information has, in turn, led to a need for computerized databases to store, organize, and index the data and for specialized programs which allow for the visualization and analysis of these data. a. Biological databases are large, organized bodies of persistent data 1 related to the biological sciences, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system. Simple databases contain records, each of which includes the same set of information. For example, a record associated with a nucleotide sequence database typically contains information such as contact name, the input sequence with a description of the type of molecule, the scientific name of the source organism from which it was isolated, and often, literature citations associated with the sequence. b. For researchers to benefit from the stored data, two requirements must be met: i. Information must be easy to access. ii. A method must exist that allows researchers to extract only that information needed to answer a specific biological question. II. Bioinformatics is the field of science in which biology, computer science, and information technology merge to form a single discipline. Through the application of bioinformatics, many databases have been designed to store nucleic acid sequences, protein sequences, chromosome map information, taxonomic information and more.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}