application: skipredundant [ documentation: "Remove redundant sequences from an input set" groups: "Edit" gui: "yes" batch: "yes" cpu: "low" relations: "EDAM:0000091 topic Data handling" relations: "EDAM:0002121 operation Sequence file processing" relations: "EDAM:0000290 operation Sequence redundancy removal" relations: "EDAM:0000491 operation Pairwise sequence alignment" ] section: input [ information: "Input section" type: "page" ] toggle: feature [ information: "Use feature information" help: "Sequence feature information will be retained if this option is set." relations: "EDAM:0002527 data Parameter or primitive" ] seqset: sequences [ parameter: "Y" type: "gapany" features: "$(feature)" aligned: "N" relations: "EDAM:0000849 data Sequence record" ] matrixf: datafile [ additional: "Y" information: "Matrix file" protein: "$(acdprotein)" help: "This is the scoring matrix file used when comparing sequences. By default it is the file 'EBLOSUM62' (for proteins) or the file 'EDNAFULL' (for nucleic sequences). These files are found in the 'data' directory of the EMBOSS installation." relations: "EDAM:0000874 data Comparison matrix" ] endsection: input section: required [ information: "Required section" type: "page" ] list: mode [ standard: "Y" default: "1" minimum: "1" maximum: "1" values: "1: Single threshold percentage sequence similarity, 2: Outside a range of acceptable threshold percentage similarities" help: "This option specifies whether to remove redundancy at a single threshold percentage sequence similarity or remove redundancy outside a range of acceptable threshold percentage similarity. All permutations of pair-wise sequence alignments are calculated for each set of input sequences in turn using the EMBOSS implementation of the Needleman and Wunsch global alignment algorithm. Redundant sequences are removed in one of two modes as follows: (i) If a pair of proteins achieve greater than a threshold percentage sequence similarity (specified by the user) the shortest sequence is discarded. (ii) If a pair of proteins have a percentage sequence similarity that lies outside an acceptable range (specified by the user) the shortest sequence is discarded." delimiter: "," codedelimiter: ":" header: "Redundancy removal options" information: "Select number" relations: "EDAM:0002527 data Parameter or primitive" ] float: threshold [ standard: "@($(mode)==1)" information: "The percentage sequence identity redundancy threshold." help: "This option specifies the percentage sequence identity redundancy threshold. The percentage sequence identity redundancy threshold determines the redundancy calculation. If a pair of proteins achieve greater than this threshold the shortest sequence is discarded." default: "95.0" relations: "EDAM:0002146 data Threshold" ] float: minthreshold [ standard: "@($(mode)==2)" information: "The % sequence identity redundancy threshold (lower limit)." help: "This option specifies the percentage sequence identity redundancy threshold (lower limit). The percentage sequence identity redundancy threshold determines the redundancy calculation. If a pair of proteins have a percentage sequence similarity that lies outside an acceptable range the shortest sequence is discarded." default: "30.0" relations: "EDAM:0002146 data Threshold" ] float: maxthreshold [ standard: "@($(mode)==2)" information: "The percentage sequence identity redundancy threshold (upper limit)." help: "This option specifies the percentage sequence identity redundancy threshold (upper limit). The percentage sequence identity redundancy threshold determines the redundancy calculation. If a pair of proteins have a percentage sequence similarity that lies outside an acceptable range the shortest sequence is discarded." default: "90.0" relations: "EDAM:0002146 data Threshold" ] float: gapopen [ standard: "Y" information: "Gap opening penalty" minimum: "0.0" maximum: "100.0" default: "@($(acdprotein)? 10.0 : 10.0 )" valid: "Floating point number from 1.0 to 100.0" expected: "10.0 for any sequence" help: "The gap open penalty is the score taken away when a gap is created. The best value depends on the choice of comparison matrix. The default value assumes you are using the EBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix for nucleotide sequences." relations: "EDAM:0001397 data Gap opening penalty" ] float: gapextend [ standard: "Y" information: "Gap extension penalty" minimum: "0.0" maximum: "10.0" default: "@($(acdprotein)? 0.5 : 0.5 )" valid: "Floating point number from 0.0 to 10.0" expected: "0.5 for any sequence" help: "The gap extension, penalty is added to the standard gap penalty for each base or residue in the gap. This is how long gaps are penalized. Usually you will expect a few long gaps rather than many short gaps, so the gap extension penalty should be lower than the gap penalty. An exception is where one or both sequences are single reads with possible sequencing errors in which case you would expect many single base gaps. You can get this result by setting the gap open penalty to zero (or very low) and using the gap extension penalty to control gap scoring." relations: "EDAM:0001398 data Gap extension penalty" ] endsection: required section: advanced [ information: "Advanced section" type: "page" ] endsection: advanced section: output [ information: "Output section" type: "page" ] seqoutall: outseq [ parameter: "Y" features: "$(feature)" extension: "keep" relations: "EDAM:0000849 data Sequence record" ] seqoutall: redundantoutseq [ parameter: "Y" nullok: "Y" nulldefault: "Y" features: "$(feature)" extension: "redundant" information: "Redundant sequences (optional)" relations: "EDAM:0000849 data Sequence record" ] endsection: output