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Top Forums Shell Programming and Scripting User input and run awk using the input Post 302967336 by sea on Tuesday 23rd of February 2016 01:42:52 AM
Old 02-23-2016
This:
Code:
printf "Please enter the gene(s) of interest, use a comma between multiple: "
IFS="," read -a gene
        printf "the indicated genes will now be loaded and used to calculate coverage\n"

Will not work as you expect.

In fact, you tell to only catch the first genom only, and no other.
Because you say the IFS shall be ',' which is shall be used to seperate the genoms, mainwhile, you only read 1 genom, as 'gene' will be split into as many arguments/variables as the user passes using ','.

Saying:
Replcae the IFS= part to a later procedure, when parsing the user input.
Parsing is done after reading, or if while reading, it must be a limited (say pass 3 genoms, then you mus tread 3 variables - not just one).

I'm no scientist, but afaik a genom doesnt have 'spaces' in between, so they might just seperate the genoms passed by spaces OR coma - since the IFS is removed, that doesnt matter, in fact, its even simpler to work with the passed genoms, if the users do not use ',' to seperate the list.

Only use the red parts if you insist of using coma to seperate the list, if using space its not required at all.
Code:
read genes
oIFS="$IFS"
IFS=","
for gene in $genes;do
	echo "Working with genom: $gene"
done
IFS="$oIFS"

Other than that, please make the according corrections of for loops as Don already stated.

Thank you and hope this helps
This User Gave Thanks to sea For This Post:
 

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TIGR-GLIMMER(1) 					      General Commands Manual						   TIGR-GLIMMER(1)

NAME
tigr-glimmer -- Find/Score potential genes in genome-file using the probability model in icm-file SYNOPSIS
tigr-glimmer3 [genome-file] [icm-file] [[options]] DESCRIPTION
tigr-glimmer is a system for finding genes in microbial DNA, especially the genomes of bacteria and archaea. tigr-glimmer (Gene Locator and Interpolated Markov Modeler) uses interpolated Markov models (IMMs) to identify the coding regions and distinguish them from noncoding DNA. The IMM approach, described in our Nucleic Acids Research paper on tigr-glimmer 1.0 and in our subsequent paper on tigr-glimmer 2.0, uses a combination of Markov models from 1st through 8th-order, weighting each model according to its predictive power. tigr-glimmer 1.0 and 2.0 use 3-periodic nonhomogenous Markov models in their IMMs. tigr-glimmer is the primary microbial gene finder at TIGR, and has been used to annotate the complete genomes of B. burgdorferi (Fraser et al., Nature, Dec. 1997), T. pallidum (Fraser et al., Science, July 1998), T. maritima, D. radiodurans, M. tuberculosis, and non-TIGR projects including C. trachomatis, C. pneumoniae, and others. Its analyses of some of these genomes and others is available at the TIGR microbial database site. A special version of tigr-glimmer designed for small eukaryotes, GlimmerM, was used to find the genes in chromosome 2 of the malaria para- site, P. falciparum.. GlimmerM is described in S.L. Salzberg, M. Pertea, A.L. Delcher, M.J. Gardner, and H. Tettelin, "Interpolated Markov models for eukaryotic gene finding," Genomics 59 (1999), 24-31. Click here (http://www.tigr.org/software/glimmerm/) to visit the GlimmerM site, which includes information on how to download the GlimmerM system. The tigr-glimmer system consists of two main programs. The first of these is the training program, build-imm. This program takes an input set of sequences and builds and outputs the IMM for them. These sequences can be complete genes or just partial orfs. For a new genome, this training data can consist of those genes with strong database hits as well as very long open reading frames that are statistically almost certain to be genes. The second program is glimmer, which uses this IMM to identify putative genes in an entire genome. tigr-glimmer automatically resolves conflicts between most overlapping genes by choosing one of them. It also identifies genes that are suspected to truly overlap, and flags these for closer inspection by the user. These ``suspect'' gene candidates have been a very small percentage of the total for all the genomes analyzed thus far. tigr-glimmer is a program that... OPTIONS
-C n Use n as GC percentage of independent model Note: n should be a percentage, e.g., -C 45.2 -f Use ribosome-binding energy to choose start codon +f Use first codon in orf as start codon -g n Set minimum gene length to n -i filename Use filename to select regions of bases that are off limits, so that no bases within that area will be examined -l Assume linear rather than circular genome, i.e., no wraparound -L filename Use filename to specify a list of orfs that should be scored separately, with no overlap rules -M Input is a multifasta file of separate genes to be scored separately, with no overlap rules -o n Set minimum overlap length to n. Overlaps shorter than this are ignored. -p n Set minimum overlap percentage to n%. Overlaps shorter than this percentage of *both* strings are ignored. -q n Set the maximum length orf that can be rejected because of the independent probability score column to (n - 1) -r Don't use independent probability score column +r Use independent probability score column -r Don't use independent probability score column -s s Use string s as the ribosome binding pattern to find start codons. +S Do use stricter independent intergenic model that doesn't give probabilities to in-frame stop codons. (Option is obsolete since this is now the only behaviour -t n Set threshold score for calling as gene to n. If the in-frame score >= n, then the region is given a number and considered a potential gene. -w n Use "weak" scores on tentative genes n or longer. Weak scores ignore the independent probability score. SEE ALSO
tigr-adjust (1), tigr-anomaly (1), tigr-build-icm (1), tigr-check (1), tigr-codon-usage (1), tigr-compare-lists (1), tigr-extract (1), tigr-generate (1), tigr-get-len (1), tigr-get-putative (1), tigr-glimmer3 (1), tigr-long-orfs (1) http://www.tigr.org/software/glimmer/ Please see the readme in /usr/share/doc/glimmer for a description on how to use Glimmer. AUTHOR
This manual page was quickly copied from the glimmer web site by Steffen Moeller moeller@debian.org for the Debian system. TIGR-GLIMMER(1)
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