Updated local repository publishing requirement for CI

Added additional error messages to help user with usage.

.vscode/extensions.json

@@ -0,0 +1,5 @@
+{
+    "recommendations": [
+        "mechatroner.rainbow-csv"
+    ]
+}

.vscode/launch.json

@@ -0,0 +1,24 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        
+        {
+            "name": "Program",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "${workspaceFolder}/src/autobigs/cli/program.py",
+            "console": "integratedTerminal",
+            "args": [
+                "st",
+                "-sn",
+                "MLST",
+                "tests/resources/tohama_I_bpertussis.fasta,tests/resources/tohama_I_bpertussis_features.fasta",
+                "pubmlst_bordetella_seqdef",
+                "out.csv"
+            ]
+        }
+    ]
+}

Jenkinsfile

@@ -40,7 +40,6 @@ pipeline {
                     when {
                         branch '**/main'
                     }
-
                     environment {
                         CREDS = credentials('username-password-rs-git')
                     }

README.md

@@ -35,13 +35,13 @@ This CLI can be installed with `pip`. Please ensure [pip is installed](https://p
 
 Let's say you have a fasta called `seq.fasta` which contains several sequences. You know all sequences in `seq.fasta` are Bordetella pertussis sequences, and you know you have the sequences for the necessary targets of your scheme in each of them. You want to retrieve MLST profiles for all of them. This can be done by:
 
-1. Running `autobigs info -l` to list all available `seqdef` databases and find the database associated with Bordetella (you should see one called `pubmlst_bordetella_seqdef`).
+1. Running `autoBIGS info -l` to list all available `seqdef` databases and find the database associated with Bordetella (you should see one called `pubmlst_bordetella_seqdef`).
 
-2. Then, run `autobigs info -lscheme pubmlst_bordetella_seqdef` to get the available typing schemes and their associated IDs. In this example, let's assume we want a normal MLST scheme. In this case, we would pay attention to the number next to `MLST` (it should be `3`).
+2. Then, run `autoBIGS info -lschemes pubmlst_bordetella_seqdef` to get the available typing schemes and their associated IDs. In this example, let's assume we want a normal MLST scheme. In this case, we would pay attention to the number next to `MLST` (it should be `3`). Alternatively, we can look at the name of the schemes and use those too (in this case, it is simply `MLST`).
 
-3. Then, run `autobigs st -h` and familiarize yourself with the parameters needed for sequence typing.
+3. Then, run `autoBIGS st -h` and familiarize yourself with the parameters needed for sequence typing.
 
-4. Namely, you should find that you will need to run `autobigs st seq.fasta pubmlst_bordetella_seqdef 3 output.csv`. You can optionally include multiple `FASTA` files, and `--stop-on-fail` to stop typing if one of your sequences fail to retrieve any type. 
+4. Namely, you should find that you will need to run `autoBIGS st seq.fasta pubmlst_bordetella_seqdef -sid 3 output.csv` (alternatively, `-sid 3` may be replaced with `-sn MLST`). You can optionally include multiple `FASTA` files, and `--stop-on-fail` to stop typing if one of your sequences fail to retrieve any type. 
 
 5. Sit tight, and wait. The `output.csv` will contain your results once completed.
 

pyproject.toml

@@ -8,7 +8,7 @@ dynamic = ["version"]
 readme = "README.md"
 license = {text = "GPL-3.0-or-later"}
 dependencies = [
-    "autoBIGS-engine==0.13.*"
+    "autoBIGS-engine==0.14.*"
 ]
 requires-python = ">=3.12"
 description = "A CLI tool to rapidly fetch fetch MLST profiles given sequences for various diseases."

src/autobigs/cli/info.py

@@ -53,18 +53,19 @@ async def run(args: Namespace):
                     writer.writerows(sorted_seqdef_dbs)
                     print("\nDatabase output written to {0}".format(args.csv_output))
 
-        csv_scheme_rows = []
-        for bigsdb_scheme_name in args.list_bigsdb_schemes:
-            schemes = await bigsdb_index.get_schemes_for_seqdefdb(bigsdb_scheme_name)
-            csv_scheme_rows.extend([(name, id, bigsdb_scheme_name) for name, id in sorted(schemes.items())])
-            print("The following are the known schemes for \"{0}\", and their associated IDs:".format(bigsdb_scheme_name))
-            print("\n".join(["{0}: {1}".format(name, id) for name, id, database in csv_scheme_rows]))
-        if args.csv_output:
-            with open(args.csv_output, "w") as csv_out_handle:
-                writer = csv.writer(csv_out_handle)
-                writer.writerow(("Name", "ID", "Database Name"))
-                writer.writerows(csv_scheme_rows)
-            print("\nscheme list output written to {0}".format(args.csv_output))
+        if args.list_bigsdb_schemes:
+            csv_scheme_rows = []
+            for bigsdb_scheme_name in args.list_bigsdb_schemes:
+                schemes = await bigsdb_index.get_schemes_for_seqdefdb(bigsdb_scheme_name)
+                csv_scheme_rows.extend([(name, id, bigsdb_scheme_name) for name, id in sorted(schemes.items())])
+                print("The following are the known schemes for \"{0}\", and their associated IDs:".format(bigsdb_scheme_name))
+                print("\n".join(["{0}: {1}".format(name, id) for name, id, database in csv_scheme_rows]))
+            if args.csv_output:
+                with open(args.csv_output, "w") as csv_out_handle:
+                    writer = csv.writer(csv_out_handle)
+                    writer.writerow(("Name", "ID", "Database Name"))
+                    writer.writerows(csv_scheme_rows)
+                print("\nscheme list output written to {0}".format(args.csv_output))
 
 def run_asynchronously(args: Namespace):
     asyncio.run(run(args))

src/autobigs/cli/st.py

@@ -55,19 +55,34 @@ def setup_parser(parser: ArgumentParser):
 
 async def run(args: Namespace):
     async with BIGSdbIndex() as bigsdb_index:
-        gen_strings = read_multiple_fastas(args.fastas)
-        scheme_id_lookup = await bigsdb_index.get_schemes_for_seqdefdb(args.seqdefdb)
-        scheme_id = args.scheme_id or args.scheme_name or (scheme_id_lookup)["MLST"]
-        scheme_name_lookup = {value: key for key, value in scheme_id_lookup.items()}
+        fastas = list()
+        for fasta_str in args.fastas:
+            fastas.extend(fasta_str.split(','))
 
-        async with await bigsdb_index.build_profiler_from_seqdefdb(False, args.seqdefdb, scheme_id) as mlst_profiler:
+        gen_strings = read_multiple_fastas(fastas)
+        scheme_id_lookup = await bigsdb_index.get_schemes_for_seqdefdb(args.seqdefdb)
+        scheme_name_lookup = {value: key for key, value in scheme_id_lookup.items()}
+        known_dbs = await bigsdb_index.get_known_seqdef_dbs()
+
+        if args.seqdefdb not in known_dbs:
+            raise ValueError("\"{0}\" is a known database. See -h for help.")
+        if args.scheme_id and args.scheme_id not in scheme_id_lookup.values():
+            raise ValueError("ID {0} not a known database scheme ID for database \"{1}\". See -h for help.".format(args.scheme_id, args.seqdefdb))
+        if args.scheme_name and args.scheme_name not in scheme_id_lookup:
+            raise ValueError("\"{0}\" not a known database scheme name for database \"{1}\". See -h for help.".format(args.scheme_name, args.seqdefdb))
+        if not (args.scheme_name or args.scheme_id) and "MLST" not in scheme_id_lookup:
+            raise ValueError("\"MLST\" not a known database scheme name for database \"{0}\". See -h for help.".format(args.seqdefdb))
+
+        selected_scheme_id = args.scheme_id or (scheme_id_lookup[args.scheme_name] if args.scheme_name else None) or scheme_id_lookup["MLST"]
+
+        async with await bigsdb_index.build_profiler_from_seqdefdb(False, args.seqdefdb, selected_scheme_id) as mlst_profiler:
             if not isinstance(mlst_profiler, BIGSdbMLSTProfiler):
                 raise TypeError("MLST profiler type invalid")
             mlst_profiles = mlst_profiler.profile_multiple_strings(gen_strings, args.stop_on_fail)
-            failed = await write_mlst_profiles_as_csv(mlst_profiles, args.out)
+            failed = await write_mlst_profiles_as_csv(mlst_profiles, args.out, await bigsdb_index.get_scheme_loci(args.seqdefdb, selected_scheme_id))
             if len(failed) > 0:
                 print(f"A total of {len(failed)} IDs failed (no profile found):\n{"\n".join(failed)}")
-            print(f"Completed fetching from {args.seqdefdb} for {scheme_name_lookup[scheme_id]}s for {len(args.fastas)} sequences.")
+            print(f"Completed fetching from {args.seqdefdb} for {scheme_name_lookup[selected_scheme_id]}s for {len(fastas)} sequences.")
 
 def run_asynchronously(args):
     asyncio.run(run(args))

tests/resources/tohama_I_bpertussis_minimized_features.fasta

@@ -0,0 +1,133 @@
+>lcl|BX640419.1_cds_CAE43044.1_2724 [gene=adK] [locus_tag=BP2769] [db_xref=GOA:P0DKX8,InterPro:IPR000850,InterPro:IPR006259,InterPro:IPR007862,InterPro:IPR027417] [protein=adenylate kinase] [protein_id=CAE43044.1] [location=164032..164688] [gbkey=CDS]
+ATGCGTCTCATTCTGCTCGGACCGCCCGGAGCCGGCAAAGGCACCCAAGCCGCCTTTCTCACCCAACACT
+ACGGCATCCCGCAGATATCCACCGGTGACATGCTGCGCGCCGCCGTCAAGGCCGGCACGCCGCTGGGCCT
+GGAAGCCAAGAAGGTCATGGACGCGGGCGGCCTGGTCTCGGACGACCTGATCATCGGCCTGGTGCGCGAT
+CGCCTGACCCAGCCCGATTGCGCCAACGGCTACCTGTTCGACGGTTTCCCGCGCACCATCCCGCAGGCCG
+ACGCGCTCAAGAGCGCCGGCATCGCGCTGGATTACGTGGTCGAGATCGAAGTGCCGGAAAGCGACATCAT
+CGAACGCATGAGCGAACGCCGCGTGCACCCGGCCAGCGGCCGCAGCTACCACGTACGCTTCAATCCGCCC
+AAGGCCGAAGGCGTGGACGACGTCACGGGCGAACCGCTGGTGCAGCGCGACGACGACCGCGAGGAAACCG
+TGCGCCATCGTCTCAACGTCTACCAGAACCAGACCCGCCCGCTGGTCGACTACTACTCGTCCTGGGCCCA
+GTCCGATGCCGCCGCGGCGCCCAAGTACCGCAAGATCTCCGGCGTCGGCTCGGTCGACGAAATCAAGAGC
+CGCCTGTCGCAGGCTCTGCAGAGCTAA
+>lcl|BX640411.1_cds_CAE40628.1_248 [gene=fumC] [locus_tag=BP0248] [db_xref=GOA:Q7W0A2,InterPro:IPR000362,InterPro:IPR005677,InterPro:IPR008948,InterPro:IPR018951,InterPro:IPR020557,InterPro:IPR022761,InterPro:IPR024083] [protein=fumarate hydratase class II] [protein_id=CAE40628.1] [location=256543..257934] [gbkey=CDS]
+ATGAAAACCCGCACCGAAAAAGACACTTTCGGCCCGATCGAGGTGCCCGAGCAGCACCTGTGGGGCGCGC
+AGACCCAGCGCTCGCTGCATTTCTTCGCGATCTCGACCGAGAAGATGCCGGTGCCGCTGGTCGCCGCCAT
+GGCACGCCTGAAGCGCGCCGCCGCCAAGGTCAACGCCGAGCTGGGCGAGCTGGATCCGCAGGTCGCAGAC
+GCCATCATGCGGGCCGCCGATGAGGTGATCGCCGGCAAGTGGCCCGACGAGTTTCCGCTGTCGGTCTGGC
+AGACCGGCTCGGGCACGCAGAGCAACATGAACATGAACGAGGTGCTGGCCAACCGCGCCTCCGAGCTGCT
+GGGCGGCGAGCGCGGCGAAGGCCGCAAGGTGCACCCCAACGACCACGTGAACCGGGGCCAGTCGTCCAAC
+GATACCTTTCCGACCGCCATGCACGTGGCCGCCGCGGTCGAGGTCGAGCACCGCGTGCTGCCCGCCCTGA
+AGGCGTTGCGCGGCACGCTGGCCGCCAAGAGCGCGGCGTTCTACGACATCGTCAAGATCGGTCGCACCCA
+TTTGCAGGACGCCACCCCGTTGACGCTGGGCCAGGAGATCTCCGGCTACGTGGCGCAGCTGGACCTGGCC
+GAGCAGCAGATCCGCGCGACGCTGGCCGGCCTGCACCAGCTGGCCATCGGCGGCACGGCGGTGGGCACCG
+GCCTGAACGCGCATCCGCAGTTCAGCGCCAAGGTATCGGCCGAACTGGCCCATGACACGGGCAGCGCGTT
+CGTGTCGGCGCCCAACAAGTTCCAGGCGCTGGCTTCGCACGAGGCGCTGCTGTTCGCGCACGGCGCCTTG
+AAGACGCTGGCCGCCGGCCTGATGAAGATCGCCAACGATGTGCGCTGGCTGGCCAGCGGCCCGCGCTCGG
+GGCTGGGCGAAATCAGCATTCCCGAGAACGAGCCGGGCAGCTCCATCATGCCGGGCAAGGTCAACCCGAC
+CCAGTGCGAAGCCGTCACGATGCTGGCCGCGCAGGTCATGGGCAACGACGTGGCCATCAATGTCGGCGGG
+GCCAGCGGCAACTTCGAGCTGAACGTCTTCAAGCCGCTGGTGATCCACAATTTCCTGCAGTCGGTGCGCC
+TGCTGGCCGACGGCATGGTCAGCTTCGACAAGCACTGCGCGGCCGGCATCGAGCCCAACCGCGAGCGCAT
+CACCGAGCTGGTCGAGCGTTCGCTGATGCTGGTGACTGCGCTCAACCCGCACATCGGCTACGACAAGGCC
+GCGCAGATCGCCAAGAAGGCGCACAAGGAAAACCTGTCGCTGAAAGAGGCGGCGCTGGCGCTGGGGCACC
+TGACCGAGGCGCAGTTCGCCGAGTGGGTGGTGCCGGGCGACATGACCAACGCGCGCCGCTAG
+>lcl|BX640420.1_cds_CAE43224.1_2904 [gene=glyA] [locus_tag=BP2952] [db_xref=GOA:Q7VUW7,InterPro:IPR001085,InterPro:IPR015421,InterPro:IPR015422,InterPro:IPR015424,InterPro:IPR019798] [protein=serine hydroxymethyltransferase] [protein_id=CAE43224.1] [location=complement(8611..9858)] [gbkey=CDS]
+ATGTTCAACCGCAACCTGACCCTCGACCAGGTGGATCCCGACGTCTGGGCCGCCATCCAGAAAGAAGACG
+TACGCCAGGAACAGCACATCGAGCTGATCGCGTCCGAGAACTACGCCAGCCCCGCCGTGATGCAGGCCCA
+GGGCACGCAACTGACCAACAAGTATGCGGAAGGCTACCCGGGCAAGCGCTACTACGGCGGTTGCGAGTAC
+GTCGACGTGGTCGAGCAGCTGGCCATCGACCGCCTGAAGCAGATTTTCGGCGCCGAGGCCGCCAACGTGC
+AGCCGAACTCCGGCTCGCAGGCCAACCAGGGCGTGTACATGGCGGTGCTCAAGCCGGGCGATACCGTGCT
+GGGCATGAGCCTGGCCGAAGGCGGTCACCTGACGCACGGCGCGTCGGTCAACGCCTCGGGCAAGCTGTAC
+AACTTCGTGCCCTACGGCCTGGACGCCGACGAGGTGCTGGACTACGCCCAGGTCGAGCGGCTGACCAAGG
+AACACAAGCCCAAGCTGATCGTGGCCGGCGCCTCCGCGTACGCGCTGCACATCGACTTCGAGCGCATGGC
+GCGCATCGCCCACGACAACGGCGCGCTGTTCATGGTGGACATCGCCCACTATGCCGGCCTGGTGGCCGGC
+GGCGCCTATCCCAACCCGGTGCCGCACGCCGATTTCGTCACCTCCACCACGCACAAGTCGCTGCGCGGCC
+CGCGCGGCGGCGTCATCATGATGAAGGCCGAGTTCGAGAAGGCCGTCAATTCGGCCATCTTCCCGGGCAT
+CCAGGGCGGTCCGCTGATGCACGTCATCGCGGCCAAGGCCGTGGCCTTCAAGGAAGCGCTGTCGCCCGAG
+TTCCAGGATTACGCCCAGCAGGTCGTCAAGAACGCCAAGGTGCTGGCCGATACGCTGGTCAAGCGCGGCC
+TGCGCATCGTGTCGGGCAGGACCGAAAGCCACGTCATGCTGGTGGACCTGCGTCCCAAGGGCATTACCGG
+CAAGGAAGCGGAAGCGGTGCTGGGCCAGGCCCACATCACGGTCAACAAGAACGCCATTCCCAACGACCCG
+GAAAAGCCCTTCGTGACCAGCGGCATCCGCCTGGGCACTCCGGCCATGACCACCCGCGGCTTCAAGGAGG
+CCGAGGCCGAGCTGACCGCCAACCTGATCGCCGACGTGCTGGACAATCCGCGCGACGAGGCGAACATCGC
+CGCGGTGCGCGCGCGGGTCAATGAACTGACCGCCCGCCTGCCCGTCTACGGCAACTGA
+>lcl|BX640418.1_cds_CAE42760.1_2440 [gene=icd] [locus_tag=BP2488] [db_xref=GOA:Q7VVZ2,InterPro:IPR001804,InterPro:IPR004439,InterPro:IPR019818,InterPro:IPR024084,UniProtKB/TrEMBL:Q7VVZ2] [protein=isocitrate dehydrogenase [NADP]] [protein_id=CAE42760.1] [location=complement(204636..205892)] [gbkey=CDS]
+ATGTCCTATCAACATATCAAGGTTCCCACTGGGGGCCAAAAAATCACGGTCAACGCCGATTACTCGCTGA
+ATGTGCCCGATCAGGTCATCATTCCGGTCATCGAGGGTGACGGTACGGGCGCCGACATCACGCCGGTGAT
+GATTAAGGTCGTCGACGCGGCCGTGCAGAAGGCCTATGCGGGCAAGCGCAAGATCCACTGGATGGAAGTC
+TACGCCGGCGAGAAGGCCACCAAGGTCTACGGCCCGGACGTCTGGCTGCCCGAGGAAACCCTCGACGCCG
+TCAAGGACTACGTGGTGTCGATCAAGGGTCCGCTGACCACGCCGGTCGGCGGCGGCATCCGTTCGCTGAA
+CGTGGCGCTGCGCCAGCAGCTGGACCTGTATGTCTGCCTGCGCCCGGTGCGCTACTTCAAGGGCGTGCCC
+TCGCCGGTGCGCGAGCCCGAGAAGACCGACATGGTCATCTTCCGCGAGAACTCGGAAGACATCTACGCGG
+GCATCGAGTACATGGCCGAGTCCGAGCAGGCCAAGGACCTGATCCAGTACCTGCAGACCAAGCTGGGCGT
+GACCAAGATCCGCTTCCCGAACACCTCGTCGATCGGCATCAAGCCGGTTTCGCGCGAAGGCACCGAGCGC
+CTGGTGCGCAAGGCGCTGCAGTACGCCATCGACAATGACCGCGCCTCGGTGACCCTGGTCCACAAGGGCA
+ACATCATGAAGTTCACGGAAGGCGGCTTCCGCGACTGGGGCTACGCCCTGGCCCAGAACGAGTTCGGCGC
+GCAGCCGATCGACGGCGGCCCGTGGTGCAAGTTCAAGAATCCCAAGACGGGTCGCGAGATCATCGTCAAG
+GATTCGATCGCCGACGCCTTCCTGCAGCAGATCCTGCTGCGTCCGGCCGAATACGACGTGATCGCCACGC
+TGAACCTGAACGGCGACTACATCTCCGACGCGCTGGCCGCGCAAGTGGGCGGCATCGGCATTGCCCCGGG
+CGCCAACCTGTCGGATTCCGTGGCCATGTTCGAAGCCACCCACGGCACCGCGCCGAAGTACGCGGGCAAG
+GACTACGTGAACCCCGGTTCCGAAATCCTGTCGGCCGAAATGATGCTGCGCCACATGGGCTGGACCGAGG
+CCGCCGACCTGATCATCGCCAGCATGGAGAAATCCATCCTGTCCAAGAAGGTCACCTATGACTTCGCCCG
+TCTGCTCGAAGGCGCCACCCAGGTGTCGTGCTCGGGCTTCGGTCAGGTCATGATCGACAATATGTAA
+>lcl|BX640418.1_cds_CAE42692.1_2372 [gene=pepA] [locus_tag=BP2421] [db_xref=GOA:Q7VW48,InterPro:IPR000819,InterPro:IPR008283,InterPro:IPR011356,InterPro:IPR023042] [protein=cytosol aminopeptidase] [protein_id=CAE42692.1] [location=131847..133346] [gbkey=CDS]
+ATGGAATTTAGCACACAGACCACTGCCTCCCTGCATCAGATCAAGACTGCGGCCCTGGCCGTCGGCGTCT
+TCGCCGACGGCGTGCTCAGCGCCGCCGCCGAAGTCATCGACCGCGCCAGCCACGGTGCCGTGGCCGCCGT
+GGTGAAAAGCGAGTTCCGCGGCCGCACCGGCAGCACGCTGGTGCTGCGCAGCCTGGCCGGCGTCAGCGCC
+CAGCGCGTGGTGCTGGTGGGCCTGGGCAAGCAGGCCGAATACAACGCCCGCGCGCACGCCAGCGCCGAAC
+AGGCGTTCGCCGCGGCGTGCGTCGCGGCCCAGGTGGGCGAAGGCGTGTCGACCCTGGCCGGCGTGGCCAT
+CGAGGGCGTGCCGGTGCGCGCCCGCGCGCGCAGCGCCGCCATCGCCGCGGGCGCGGCGGCCTACCATTAC
+GATGCGACGTTCGGCAAGGCCAATCGCGACGCCCGCCCCAGGTTGAAGAAAATCGTCCAGGTGGTCGACC
+GCGCGGCCTCCGCGCAGGCGCAGCTGGGCCTGCGCGAAGGCGCGGCCATCGCCCACGGCATGGAATTGAC
+CCGCACGCTGGGCAACCTGCCCGGCAACGTGTGCACGCCGGCCTATCTCGGCAATACCGCCAAGAAACTG
+GCGCGCGAATTCAAGAGCCTCAAGGTCGAGGTGCTCGAACGCAAGCAGGTCGAGGCGCTGGGCATGGGCT
+CGTTCCTCTCGGTCGCGCGCGGCTCGGAAGAACCGCTGCGCTTCATCGTGCTGCGCCATGCCGGCAAGCC
+CGCCAAGAAGGACAAGGCCGGCCCGGTCGTCCTGGTGGGCAAGGGCATCACCTTCGATGCTGGCGGCATC
+TCGCTCAAGCCGGCCGCCACGATGGACGAAATGAAGTACGACATGTGCGGCGCGGCCAGCGTGCTGGGCA
+CGTTCCGCGCCCTGGCCGAGCTGGAGCTGCCGCTGGATGTGGTGGGCCTGATCGCGGCGTGCGAGAACCT
+GCCCAGCGGCAAGGCCAACAAGCCCGGCGACGTGGTCACCAGCATGTCGGGCCAGACCATCGAGATCCTC
+AACACCGACGCCGAAGGCCGCCTGGTGCTGTGCGATGCCCTGACCTACGCCGAGCGCTTCAAGCCCGCGG
+CCGTGATCGACATCGCCACGTTGACCGGCGCCTGCGTGGTAGCCCTGGGCAACGTCAATAGCGGCCTGTT
+CTCCAAGGACGACGCGCTGGCCGACGCGCTGCTGGCCGCCAGCCGCCAGTCGCTCGACCCGGCCTGGCGC
+CTGCCGCTGGACGATGCCTACCAGGACCAGCTCAAGTCCAACTTCGCCGACATCGCCAACATCGGCGGCC
+CCCCGGCCGGCGCGGTCACGGCGGCCTGCTTCCTGTCGCGCTTCACCAAGGCTTATCCGTGGGCGCACCT
+GGACATCGCCGGCACGGCCTGGCGCGGCGGCAAGGACAAGGGCGCCACCGGCCGGCCGGTGCCGCTGCTG
+ATGCAGTACCTGCTGGACCAGGCAGGCTGA
+>lcl|BX640420.1_cds_CAE43408.1_3088 [gene=pgm] [locus_tag=BP3141] [db_xref=GOA:Q7VUF5,InterPro:IPR005841,InterPro:IPR005843,InterPro:IPR005844,InterPro:IPR005845,InterPro:IPR005846,InterPro:IPR016055,InterPro:IPR016066,UniProtKB/TrEMBL:Q7VUF5] [protein=phosphoglucomutase] [protein_id=CAE43408.1] [location=217601..218983] [gbkey=CDS]
+GTGGCGCACCCCTTTCCCGCATCGGTCTACAAGGCGTACGACATCCGTGGCTCGGTTCCCGACCAGCTCG
+ACCCGGTATTCGCCCGGGCGCTGGGCCGCGCCCTGGCCGCCAGCGCCCGCGCGCAGGGCATCGGCGCCCT
+GGTGGTCGGCCGCGACGGCCGCCTGAGCAGCCCCGACCTGGCCGGCGCGCTGCAGGAAGGCATCATGGAA
+GGCGGCGTGGACACCCTGGACATCGGCCAGGTGCCCACGCCGCTGGTCTATTTCGCGGCGCACATCCAGG
+GCACGGGCTCGGGCGTGGCGGTCACCGGCAGCCACAACCCGCCGCAGTACAACGGCTTCAAGATGATGAT
+GGGCGGCCAGGCCCTGTACGGCCCGGCCGTGCAGGCGCTGCGCCCGGCCATGCTGGCGCCGGCTGCGGCG
+CCGGGCACCTGGGGCGAACGCCGCCAGCTCGATGTCGTCCCCGCCTATATCGAGCGCATCGTGTCCGACG
+TGAAGCTGGCGCGCCCCATGAAGATCGCCGTCGACTGCGGCAATGGCGTGGCCGGCGCCCTGGCGCCGCA
+ACTGTTCCGCGCGCTGGGTTGCGAAGTGGACGAGCTCTATTGCGAGGTCGACGGCACGTTTCCCAACCAC
+CATCCCGACCCGGCCGAACCGCGCAACCTGCAGGACCTGATCGCCCATGTCACCAGCACCGACTGCGAGC
+TGGGCCTGGCCTTCGACGGCGACGGCGACCGCCTCGGCGTGGTGACCAAGTCCGGCCAGATCATCTGGCC
+CGACCGCCAGCTGATCCTGTTCGCCCGCGACGTGCTGGCCCGCTGTCCCGGCGCGACCATCATCTATGAC
+GTCAAGTGCAGCCAGCACGTGGGCGTGGCCATCGAGCAAAGCGGCGGCGTGCCGCTGATGTGGCAGACTG
+GCCATTCGCTGGTGAAGGCCAAGCTGGCCGAGACCGGCGCGCCGCTGGCCGGCGAGATGAGCGGCCATAT
+CTTCTTCAAGGAGCGCTGGTACGGCTTCGACGACGGCCTGTACACCGGCGCCCGCCTGCTGGAAATCGTC
+TCCCGCGAAACCGATGCGTCGCGCCCGCTGGAGGCCCTGCCGCAGGCGCTGTCGACCCCCGAGCTCAAGC
+TGGAGATGGCCGAGGGCGAGCCGCATGCGCTGATCGCCGCCCTGCAGCAGCAGGGCGAGTTCGCCAGCGC
+CAGCCGGCTGGTTACGATAGACGGCGTGCGCGCGGAATACCCGGACGGCTTCGGGCTGGCGCGCGCCTCC
+AATACCACCCCCGTCGTCGTGCTGCGCTTCGAAGCGGAGACCGAGCCGGGCCTGGCCCGCATCCAGCAGG
+AATTCCGCCAGCAGCTGCTGCGGCTGGCTCCGCAAGCCAAACTGCCCTTCTGA
+>lcl|BX640416.1_cds_CAE42081.1_1761 [gene=tyrB] [locus_tag=BP1795] [db_xref=GOA:Q7VXH5,InterPro:IPR000796,InterPro:IPR004838,InterPro:IPR004839,InterPro:IPR015421,InterPro:IPR015424,UniProtKB/TrEMBL:Q7VXH5] [protein=aromatic-amino-acid aminotransferase] [protein_id=CAE42081.1] [location=complement(151299..152501)] [gbkey=CDS]
+ATGAGCACTCTTTTCGCTTCCGTCGAACTCGCGCCGCGCGACCCCATTCTTGGCCTGAACGAACAGTACA
+ACGCCGATACCCGTCCCGGCAAAGTGAACCTGGGCGTGGGCGTGTACTACGACGACGAAGGCCGCATCCC
+GCTGCTTCAGGCCGTGCGCAAGGCCGAGGTGGCCCGCATCGAAGCCGCCGCCGCCCGCGGCTATCTGCCG
+ATCGAAGGCATCGCGGGGTACAACAAGGGTGCGCAGGCGCTGCTGCTGGGCGCCGACTCGCCGCTGGCCG
+CCGAAGGCCGCGTGCTGACCGCGCAGGCCCTGGGCGGCACCGGCGCGCTGAAGATCGGCGCCGACTTCCT
+GCGCCAGCTGCTGCCGCAGTCCAAGGTCCTCATCAGCGACCCCAGCTGGGAAAACCACCGCGCCCTGTTC
+GAGCGCGCCGGCTTCCCGGTCGAGACCTACGCTTATTACGATGCCGCCACCCATGGCCTGAACTTCGAAG
+CCATGCTGGCCGCCCTGCAGGCCGCGCCCGAACAGACCATCGTGGTGCTGCACGCCTGCTGCCACAACCC
+GACCGGCGTCGATCCCACGCCGCAACAGTGGGAACAGATCGCCGCCGTGGTCAAGGCGCGCAACCTGGTG
+CCGTTCCTCGACATCGCCTACCAGGGCTTCGGCGAAGGCCTGGAGCAGGACGCCGCCGTGGTGCGCATGT
+TCGCCGCGCTCGACCTGACCATGTTCATCAGCTCGTCGTTCTCCAAGTCCTTCTCGCTGTATGGCGAGCG
+GGTCGGGGCCCTGACCGTGGTGGCCGGCAGCAAGGACGAGGCCGCCCGCGTGCTCAGCCAGCTCAAGCGC
+GTGATCCGCACCAACTACTCCAACCCGCCCACCCACGGCGGCACCGTGGTGTCCACGGTCCTGAACACAC
+CCGAGCTGTTCGCGCTCTGGGAAAATGAACTGGCCGGCATGCGCGACCGCATCCGCCTGATGCGCAAGGA
+GCTGGTCGAGAAGATCAAGACCCAGGGCGTGGCGCAGGACTTCAGCTTCGTGCTGGCGCAGCGCGGCATG
+TTCTCGTACTCGGGCCTGACCGCCGCCCAGGTCGATCGCCTGCGCGAAGAGCACGGCATCTACGCGGTCT
+CCAGCGGCCGCATCTGCGTGGCCGCGCTCAACAGCCGCAACATCGACGCGGTCGCGGCCGGCATCGCCGC
+GGTGCTGAAGTAG