entry a10. Biopython Browse through the Buopython tutorial at http htmithto 57 s

Question

entry a10. Biopython Browse through the Buopython tutorial at http htmithto 57 suppose you wanted to download gene records fromGenbank and perform analysis to identify possible ORFs Would this be possble to autamate with Biopython? Can you directly aooess Genbank records through BuPathon?whymght be usetulto call a database through Biopythanrather than manually navigating to the database through a web-browser? Explainsame analyses you could perform in conjunction with these Deso bo which you mght use for the followinetasks 1. sequence Moti analyss: 2. sequence a ignments 3. Parang a sequence fie 4. Identttving open readng frame Journal entry 11 The can be used to download DNA sequeno antrons and interpenic regions. use the lucscbrowserto download sequence infamation on agene of your choice Describe the function of the gene,Download z FASTAfies, one contanng DNA sequence nformation for exonic regions and the otheroontaining DNA sequence of intronicreeons.upload these2fles, as separate attachments, with this joumalentry assignm

Explanation / Answer

1. Sequence motif analysis : sequence motif is a nucleotide sequence or an amino acid sequence that is present . These sequences are analysed to see similarities.

2. Sequence alignment: Sequence alignment is a tool that arranges DNA, RNA or proteins such that the regions and their similarities would be identified. This provides evolutionary relationships between these sequences.

3. Parsing a sequence file : parsing of a sequence is a common feature done to match the sequences. It is done using FASTQ. Data files are extracted from a file.

4. Identifying open reading frame : this is done using the ORF finder which would find all open reading frames of a selectable minimum size or a sequence that is already there in the database.

Biopython

This is a free availability tool set that is used for the biological computation. It is more useful to use biopython than manual searching because biopython has data encrypted or already present within the python library. This makes the search less tedious as compared to a manual search.

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