Mercurial > repos > petr-novak > dante
comparison dante.xml @ 15:3151a72a6671 draft
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author | petr-novak |
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date | Tue, 03 Sep 2019 05:20:02 -0400 |
parents | d0431a839606 |
children | 1eabd42e00ef |
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14:a6c55d1bdb6c | 15:3151a72a6671 |
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4 <requirement type="package">last</requirement> | 4 <requirement type="package">last</requirement> |
5 <requirement type="package">numpy</requirement> | 5 <requirement type="package">numpy</requirement> |
6 <requirement type="package" version="1.0">rexdb</requirement> | 6 <requirement type="package" version="1.0">rexdb</requirement> |
7 <requirement type="set_environment">REXDB</requirement> | 7 <requirement type="set_environment">REXDB</requirement> |
8 </requirements> | 8 </requirements> |
9 <stdio> | 9 <stdio> |
10 <regex match="Traceback" source="stderr" level="fatal" description="Unknown error" /> | 10 <regex match="Traceback" source="stderr" level="fatal" description="Unknown error" /> |
11 <regex match="error" source="stderr" level="fatal" description="Unknown error" /> | 11 <regex match="error" source="stderr" level="fatal" description="Unknown error" /> |
12 </stdio> | 12 </stdio> |
13 <command> | 13 <command> |
14 python3 ${__tool_directory__}/dante.py --query ${input} --domain_gff ${DomGff} | 14 #if str($input_type.input_type_selector) == "aln" |
15 --protein_database \${REXDB}/${db_type}_pdb | 15 python3 ${__tool_directory__}/parse_aln.py -a $(input_sequences) -f sequences.fasta -p sequences.profile |
16 --classification \${REXDB}/${db_type}_class | 16 && |
17 --scoring_matrix ${scoring_matrix} | 17 INPUT_SEQUENCES="sequences.fasta" |
18 && | 18 #else |
19 INPUT_SEQUENCES=$(input_sequences) | |
20 #end if | |
21 && | |
19 | 22 |
20 python3 ${__tool_directory__}/dante_gff_output_filtering.py --dom_gff ${DomGff} | |
21 --domains_prot_seq domains_filtered.fasta --domains_filtered domains_filtered.gff | |
22 --output_dir . | |
23 --selected_dom All --th_identity 0.35 | |
24 --th_similarity 0.45 --th_length 0.9 | |
25 --interruptions 1 --max_len_proportion 1.1 | |
26 --element_type '' && | |
27 | 23 |
28 python3 ${__tool_directory__}/fasta2database.py domains_filtered.fasta domains_filtered.db | 24 python3 ${__tool_directory__}/dante.py --query \${INPUT_SEQUENCES} --domain_gff ${DomGff} |
29 domains_filtered.class && | 25 --protein_database \${REXDB}/${db_type}_pdb |
26 --classification \${REXDB}/${db_type}_class | |
27 --scoring_matrix ${scoring_matrix} | |
30 | 28 |
31 lastdb -p domains_filtered.db domains_filtered.db && | |
32 | 29 |
33 python3 ${__tool_directory__}/dante.py --query ${input} --domain_gff ${DomGff2} | 30 #if str($input_type.input_type_selector) == "aln" |
34 --protein_database domains_filtered.db | 31 && |
35 --classification domains_filtered.class | 32 python3 ${__tool_directory__}/coverage2gff.py -p sequences.profile -g ${DomGff} |
36 --scoring_matrix BL80 | 33 #end if |
37 | 34 |
38 </command> | 35 #if str($iterative) == "Yes" |
39 <inputs> | 36 && |
40 <param format="fasta" type="data" name="input" | 37 python3 ${__tool_directory__}/dante_gff_output_filtering.py --dom_gff ${DomGff} |
41 label="Choose your input sequence" help="Input DNA must be in proper fasta format, multi-fasta containing more sequences is allowed" /> | 38 --domains_prot_seq domains_filtered.fasta --domains_filtered domains_filtered.gff |
39 --output_dir . | |
40 --selected_dom All --th_identity 0.35 | |
41 --th_similarity 0.45 --th_length 0.9 | |
42 --interruptions 1 --max_len_proportion 1.1 | |
43 --element_type '' | |
44 && | |
42 | 45 |
43 <param name="db_type" type="select" label="Select taxon and protein domain database version (REXdb)" help=""> | |
44 <options from_file="rexdb_versions.loc"> | |
45 <column name="name" index="0"/> | |
46 <column name="value" index="1"/> | |
47 </options> | |
48 </param> | |
49 | 46 |
50 <param name="scoring_matrix" type="select" label="Select scoring matrix"> | |
51 <option value="BL80" selected="true" >BLOSUM80</option> | |
52 <option value="BL62">BLOSUM62</option> | |
53 <option value="MIQS">MIQS</option> | |
54 </param> | |
55 </inputs> | |
56 | 47 |
57 <outputs> | 48 python3 ${__tool_directory__}/fasta2database.py domains_filtered.fasta domains_filtered.db |
58 <data format="gff3" name="DomGff" label="protein domains detected in ${input.hid} - 1st pass (unfiltered)" /> | 49 domains_filtered.class |
59 <data format="gff3" name="DomGff2" label="protein domains detected in ${input.hid} - 2nd pass (unfiltered)" /> | 50 && |
60 </outputs> | |
61 <help> | |
62 | 51 |
63 THIS IS A PRIMARY OUTPUT THAT SHOULD UNDERGO FURTHER QUALITY FILTERING TO GET RID OFF POTENTIAL FALSE POSITIVE DOMAINS | 52 lastdb -p domains_filtered.db domains_filtered.db |
53 && | |
64 | 54 |
65 **WHAT IT DOES** | 55 python3 ${__tool_directory__}/dante.py --query \${INPUT_SEQUENCES} --domain_gff ${DomGff2} |
56 --protein_database domains_filtered.db | |
57 --classification domains_filtered.class | |
58 --scoring_matrix BL80 | |
66 | 59 |
67 This tool uses external aligning programme `LAST`_ and RepeatExplorer database of TE protein domains(REXdb) (Viridiplantae and Metazoa) | |
68 | 60 |
69 .. _LAST: http://last.cbrc.jp/ | 61 #if str($input_type.input_type_selector) == "aln" |
62 && | |
63 python3 ${__tool_directory__}/coverage2gff.py -p sequences.profile -g ${DomGff2} | |
64 #end if | |
65 #end if | |
70 | 66 |
71 *Lastal* runs similarity search to find hits between query DNA sequence and our database of protein domains from all Viridiplantae repetitive elements. Hits with overlapping positions in the sequence (even through other hits) forms a cluster which represents one potential protein domain. Strand orientation is taken into consideration when forming the clusters which means each cluster is built from forward or reverse stranded hits exclusively. The clusters are subsequently processed separately; within one cluster positions are scanned base-by-base and classification strings are assigned for each of them based on the database sequences which were mapped on that place. These asigned classification strings consist of a domain type as well as class and lineage of the repetitive element where the database protein comes from. Different classification levels are separated by "|" character. Every hit is scored according to the scoring matrix used for DNA-protein alignment (BLOSUM80). For single position only the hits reaching certain percentage (80% by default) of the overall best score within the whole cluster are reported. One cluster of overlapping hits represents one domain region and is recorded as one line in the resulting GFF3 file. Regarding the classition strings assigned to one region (cluster) there are three situations that can occur: | 67 </command> |
68 <inputs> | |
72 | 69 |
73 1. There is a single classification string assigned to each position as well as classifications along all the positions in the region are mutually uniform, in this case domain's final classification is equivalent to this unique classification. | 70 <conditional name="input_type"> |
74 2. There are multiple classification strings assigned to one cluster, i.e. one domain, which leads to classification to the common (less specific) level of all the strings | 71 <param name="input_type_selector" type="select" label="Choose the type of sequence data"> |
75 3. There is a conflict at the domain type level, domains are reported with slash (e.g. RT/INT) and the classification is in this case ambiguous | 72 <option value="fasta" selected="true">Fasta</option> |
76 | 73 <option value="aln">Aln file</option> |
77 **There are 2 outputs produced by this tool:** | 74 </param> |
78 | 75 <when value="fasta"> |
79 1. GFF3 file of all proteins domains built from all hits found by LAST. Domains are reported per line as regions (start - end) on the original DNA sequence including the seq ID, alignment score and strand orientation. The last "Attributes" column contains several semicolon-separated information related to annotation, repetitive classification, alignment and its quality. This file can undergo further filtering using *Protein Domain Filter* tool | 76 <param name="input_sequences" type="data" format="fasta" label="Sequences in fasta format"/> |
77 </when> | |
78 <when value="aln"> | |
79 <param name="input_sequences" type="data" format="txt" label="Sequences in ALN format (extracted from RepeatExplorer)"/> | |
80 </when> | |
81 </conditional> | |
82 <param name="db_type" type="select" label="Select taxon and protein domain database version (REXdb)" help=""> | |
83 <options from_file="rexdb_versions.loc"> | |
84 <column name="name" index="0"/> | |
85 <column name="value" index="1"/> | |
86 </options> | |
87 </param> | |
80 | 88 |
81 - Attributes reported always: | 89 <param name="scoring_matrix" type="select" label="Select scoring matrix"> |
90 <option value="BL80" selected="true" >BLOSUM80</option> | |
91 <option value="BL62">BLOSUM62</option> | |
92 <option value="MIQS">MIQS</option> | |
93 </param> | |
82 | 94 |
83 Name | 95 <param name="iterative" type="select" label="Run iterative search" truevalue="true" valsevalue="false" |
96 help="Second iteration run search against database of proteins extracted from query. Second iteration can yield some extra hits in some cases."> | |
97 <option value="No" selected="true">No</option> | |
98 <option value="Yes">Yes</option> | |
99 </param> | |
100 </inputs> | |
101 | |
102 <outputs> | |
103 <data format="gff3" name="DomGff" label="DANTE on ${on_string}" /> | |
104 <data format="gff3" name="DomGff2" label="DANTE on ${on_string}: 2nd pass"> | |
105 <filter>iterative == "Yes" </filter> | |
106 </data> | |
107 </outputs> | |
108 <tests> | |
109 <test> | |
110 <param name="input_type" value="fasta"/> | |
111 <param name="input_sequences" value="GEPY_test_long_1.fa"/> | |
112 <param name="db_type" value="Viridiplantae_v3.0"/> | |
113 <param name="scoring_matrix" value="BL80"/> | |
114 <param name="iterative" value="No"/> | |
115 <output name="DomGff" value="GEPY_test_long_1_output_unfiltered.gff3"/> | |
116 </test> | |
117 | |
118 | |
119 </tests> | |
120 | |
121 | |
122 <help> | |
123 | |
124 | |
125 THIS IS A PRIMARY OUTPUT THAT SHOULD UNDERGO FURTHER QUALITY FILTERING TO GET RID OFF POTENTIAL FALSE POSITIVE DOMAINS | |
126 | |
127 **WHAT IT DOES** | |
128 | |
129 This tool uses external aligning programme `LAST`_ and RepeatExplorer database of TE protein domains(REXdb) (Viridiplantae and Metazoa) | |
130 | |
131 .. _LAST: http://last.cbrc.jp/ | |
132 | |
133 *Lastal* runs similarity search to find hits between query DNA sequence and our database of protein domains from all Viridiplantae repetitive elements. Hits with overlapping positions in the sequence (even through other hits) forms a cluster which represents one potential protein domain. Strand orientation is taken into consideration when forming the clusters which means each cluster is built from forward or reverse stranded hits exclusively. The clusters are subsequently processed separately; within one cluster positions are scanned base-by-base and classification strings are assigned for each of them based on the database sequences which were mapped on that place. These asigned classification strings consist of a domain type as well as class and lineage of the repetitive element where the database protein comes from. Different classification levels are separated by "|" character. Every hit is scored according to the scoring matrix used for DNA-protein alignment (BLOSUM80). For single position only the hits reaching certain percentage (80% by default) of the overall best score within the whole cluster are reported. One cluster of overlapping hits represents one domain region and is recorded as one line in the resulting GFF3 file. Regarding the classition strings assigned to one region (cluster) there are three situations that can occur: | |
134 | |
135 1. There is a single classification string assigned to each position as well as classifications along all the positions in the region are mutually uniform, in this case domain's final classification is equivalent to this unique classification. | |
136 2. There are multiple classification strings assigned to one cluster, i.e. one domain, which leads to classification to the common (less specific) level of all the strings | |
137 3. There is a conflict at the domain type level, domains are reported with slash (e.g. RT/INT) and the classification is in this case ambiguous | |
138 | |
139 **There are 2 outputs produced by this tool:** | |
140 | |
141 1. GFF3 file of all proteins domains built from all hits found by LAST. Domains are reported per line as regions (start - end) on the original DNA sequence including the seq ID, alignment score and strand orientation. The last "Attributes" column contains several semicolon-separated information related to annotation, repetitive classification, alignment and its quality. This file can undergo further filtering using *Protein Domain Filter* tool | |
142 | |
143 - Attributes reported always: | |
144 | |
145 Name | |
84 type of domain; if ambiguous reported with slash | 146 type of domain; if ambiguous reported with slash |
85 | 147 |
86 Final_classification | 148 Final_classification |
87 definite classification based on all partial classifications of Region_hits_classifications attribute or | 149 definite classification based on all partial classifications of Region_hits_classifications attribute or |
88 "Ambiguous_domain" when there is an ambiguous domain type | 150 "Ambiguous_domain" when there is an ambiguous domain type |
89 | 151 |
90 Region_Hits_Classifications | 152 Region_Hits_Classifications |
91 all hits classifications (comma separated) from a certain domain region that reach the set score threshold; in case of multiple annotations the square brackets indicate the number of bases having this particular classification | 153 all hits classifications (comma separated) from a certain domain region that reach the set score threshold; in case of multiple annotations the square brackets indicate the number of bases having this particular classification |
92 | 154 |
93 - Attributes only reported in case of unambiguous domain type (all the attributes including quality information are related to the Best_Hit of the region): | 155 - Attributes only reported in case of unambiguous domain type (all the attributes including quality information are related to the Best_Hit of the region): |
94 | 156 |
95 Best_hit | 157 Best_hit |
96 classification and position of the best alignment with the highest score within the cluster; in the square brackets is the percentage of the whole cluster range that this best hit covers | 158 classification and position of the best alignment with the highest score within the cluster; in the square brackets is the percentage of the whole cluster range that this best hit covers |
97 | 159 |
98 Best_Hit_DB_Pos | 160 Best_Hit_DB_Pos |
99 showing which part of the original datatabase domain corresponding to the Best Hit was aligned on query DNA (e.g. **Best_Hit_DB_Pos=17:75of79** means the Best Hit reported in GFF represents region from 17th to 75th of total 79 aminoacids in the original domain from the database) | 161 showing which part of the original datatabase domain corresponding to the Best Hit was aligned on query DNA (e.g. **Best_Hit_DB_Pos=17:75of79** means the Best Hit reported in GFF represents region from 17th to 75th of total 79 aminoacids in the original domain from the database) |
100 | 162 |
101 DB_Seq | 163 DB_Seq |
102 database protein sequence of the best hit mapped to the query DNA | 164 database protein sequence of the best hit mapped to the query DNA |
103 | 165 |
104 Query_Seq | 166 Query_Seq |
105 alignment sequence of the query DNA for the best hit | 167 alignment sequence of the query DNA for the best hit |
106 | 168 |
107 Identity | 169 Identity |
108 ratio of identical amino acids in alignment sequence to the length of alignment | 170 ratio of identical amino acids in alignment sequence to the length of alignment |
109 | 171 |
110 Similarity | 172 Similarity |
111 ratio of alignment positions with positive score (according to the scoring matrix) to the length of alignment | 173 ratio of alignment positions with positive score (according to the scoring matrix) to the length of alignment |
112 | 174 |
113 Relat_Length | 175 Relat_Length |
114 ratio of gapless length of the aligned protein sequence to the whole length of the database protein | 176 ratio of gapless length of the aligned protein sequence to the whole length of the database protein |
115 | 177 |
116 Relat_Interruptions | 178 Relat_Interruptions |
117 number of the interruptions (frameshifts + stop codons) in aligned translated query sequence per each starting 100 AA | 179 number of the interruptions (frameshifts + stop codons) in aligned translated query sequence per each starting 100 AA |
118 | 180 |
119 Hit_to_DB_Length | 181 Hit_to_DB_Length |
120 proportion of alignment length to the original length of the protein domain from database | 182 proportion of alignment length to the original length of the protein domain from database |
121 | 183 |
122 | 184 |
123 | 185 |
124 !NOTE: Tool can in average process 0.5 Gbps of the DNA sequence per day. This is only a rough estimate and it is highly dependent on input data (repetive elements occurence) as well as computing resources. Maximum running time of the tool is 7 days. | 186 !NOTE: Tool can in average process 0.5 Gbps of the DNA sequence per day. This is only a rough estimate and it is highly dependent on input data (repetive elements occurence) as well as computing resources. Maximum running time of the tool is 7 days. |
125 | 187 |
126 </help> | 188 </help> |
127 </tool> | 189 </tool> |
128 | 190 |