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Article #2246Software to extract annotation fields from EMBL/GenBank entries.
From: Brian Robertson
Date: Mon, 03 Jun 1996 00:00
Date: Mon, 03 Jun 1996 00:00
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2243 bytes
The amount of bacterial genome data available as sequenced cosmids of 30-40 kb is increasing rapidly. Our problem is that we need to keep track of newly discovered genes as they appear, so they can be incorporated into our research program as appropriate. For this we need to create lists of probable genes identified in the annotations for each cosmid. This can then be circulated to laboratory workers. An example of this kind of annotation is shown below. We would like to extract the "/note" field, which contains the probable function of the gene, and create a list of these for each cosmid. FT CDS_pept complement(3043..4155) FT /note="MTCY190.03c, probable anthranilate FT phosphoribosyltransferase, trpD, len: 370, similar to eg FT SW:TRPD_LACCA P17170, (43.2% identity in 308 aa overlap), FT initiation codon uncertain, gtg at 4086 favoured by FT homology but this has no clear ribosome binding site" Does anyone know of a way of extracting this information from database entries and creating a list? Is there any software avaialable that has this as one of its options, or would a shell script be needed? If a shell script is required, can anyone help with writing one? I'm afraid it's beyond my capabilities..... Thanks for your help. Brian Robertson -- Dr. Brian D. Robertson Dept. Medical Microbiology Imperial College School of Medicine at St Mary's Norfolk Place London W2 1PG, U.K. b.robertson@ic.ac.uk
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 103fe7,49340d29a470526e,start X-Google-Attributes: gid103fe7,public X-Google-Thread: fc973,49340d29a470526e,start X-Google-Attributes: gidfc973,public X-Google-Thread: fa6b6,49340d29a470526e,start X-Google-Attributes: gidfa6b6,public From: b.robertson@ic.ac.uk (Brian Robertson) Subject: Software to extract annotation fields from EMBL/GenBank entries. Date: 1996/06/03 Message-ID: <b.robertson-0306961409530001@cb-11.sm.ic.ac.uk> X-Deja-AN: 158218351 organization: Imperial College School of Medicine at St. Mary's, London, U.K. newsgroups: bionet.software,bionet.software.gcg,bionet.software.staden