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Takes SeqRecordExpanded objects and creates datasets for phylogenetic software

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Dataset creator for phylogenetic software

tests
package

Dataset-Creator - easy way to creat phylogenetic datasets in many formats

Documentation: dataset-creator.readthedocs.org

Takes SeqRecordExpanded objects and creates datasets for phylogenetic softwaresuch as MrBayes, TNT, BEAST, RAxML, MEGA, etc.

Features

  • Creates datasets in the following formats: FASTA, GenBankFASTA, NEXUS, TNT, MEGAand Phylip.
  • Can generate datasets of DNA and aminoacid sequences.
  • Can generate datasets of degenerated sequences.
  • It can partition datasets by codon positions or by gene.

Quick start

First:

Then the list of SeqRecordExpanded objects should be sorted by gene_code firstthen by voucher_code.

Further documentation can be found atdataset-creator.readthedocs.org

Changelog

0.4.0 (2020-06-28)

  • dropped support for python 2
  • added support for long taxon names in generated dataset files

0.3.19 (2018-01-06)

  • Fixed version of seqrecord expanded in setup.py.

0.3.18 (2018-01-06)

  • Support lineages for genbank fasta files.

0.3.17 (2018-01-06)

  • Avoid raising exception when translating sequence with dash.

0.3.16 (2017-10-01)

  • Fixed creating dataset with 1st, 2nd or 3rd codon positions.

0.3.13 (2016-08-27)

  • Fixed bug that did not replace all white spaces for underscores in taxon nameswhen building datasets. Due to taxon names with whitespaces, the NEXUSinterpreter assumed that part of the name was actually part of the sequence,rendering the sequence invalid.
  • Added some dependencies to requirements.

0.3.11 (2016-06-25)

  • Upgraded seqrecord-expanded requirement.

0.3.10 (2015-12-01)

  • Fixed bug that produced FASTA sequences with underscores. Now all voucher codeswill have their dashes replaced by underscores.

0.3.9 (2015-11-06)

  • Create datasets using the GenBankFASTA format. This format has the followingextra info in the description of sequences:>Aus_aus_CP100-10 [org=Aus aus] [Specimen-voucher=CP100-10] [note=ArgKin gene, partial cds.] [Lineage=]

0.3.8 (2015-10-30)

  • Fixed making dataset as aminoacid seqs for MEGA format.
  • Fixed making dataset as degenerated seqs for MEGA format.
  • Fixed making dataset as degenerated seqs for TNT format.
  • Fixed making dataset as aa seqs with specified outgroup for TNT format.
  • Raise ValueError when asked to degenerate seqs that will go to partitioningbased on codon positions.
  • Dataset creator returns warnings if translated sequences have stop codons ‘*'.
  • Cannot generate MEGA datasets with partitioning.

0.3.7 (2015-10-30)

  • Fixed 2nd, 3rd codon positions bug that returned empty FASTA datasets.

0.3.6 (2015-10-30)

  • Fixed 3rd codon positions bug that returned FASTA datasets with 3rd codonpositions even if they were not needed.

0.3.5 (2015-10-29)

  • If user provides outgroup, then TNT datasets will place its sequences in firstposition in the dataset blocks.

0.3.4 (2015-10-02)

  • Fixed bug that did not show DATATYPE=PROTEIN in Nexus files when aminoacidsequences were requested by user.

0.3.3 (2015-10-02)

  • Fixed bug that raised an exception when SeqExpandedRecords did not have datain the taxonomy field.

0.3.2 (2015-10-01)

  • Fixed bug that raised an exception when user wanted partitioned dataset as1st-2nd and 3rd codon positions of only one codon.

0.3.1 (2015-10-01)

  • Fixed bug that raised an exception when user wanted partitioned dataset bycodon positions of only one codon.

0.3.0 (2015-10-01)

Data Creator 1 7 16 Full

  • Accepts voucher code as string that will be used to generate the outgroupstring needed for NEXUS and TNT files.

0.2.0 (2015-09-30)

  • Creates datasets as degenerated sequences using the method by Zwick et al.

0.1.1 (2015-09-30)

  • It will issue errors if reading frames are not specified unless theyare strictly necessary to build the dataset (datasets need to be divided bycodon positions).
  • Added documentation using sphinx-doc
  • Creates datasets as aminoacid sequences.

0.1.0 (2015-09-23)

  • Creates Nexus, Tnt, Fasta, Phylip and Mega dataset formats.

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