Metadata-Version: 2.1
Name: bio-ting
Version: 1.0
Summary: ting - T cell receptor interaction grouping
Home-page: https://github.com/FelixMoelder/ting
Author: Felix Mölder
Author-email: felix.moelder@uni-due.de
License: MIT License
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
Requires-Dist: networkx (<2.5,>=2.4)
Requires-Dist: numpy (<1.18,>=1.17)
Requires-Dist: scipy (<1.4,>=1.3)

# ting

ting - T cell receptor interaction grouping

Synopsis
--------

ting [options]

Options
-------

Required Input
~~~~~~~~~~~~~~

The user must provide a list of CDR3b sequences.
For compatibility reasons the tab seperated table of TCR sequences required for gliph is supported, too.

    --tcr_sequences tcr_sequences   The format of the table is tab delimited, expecting only the first
                                    column. The header is optional, but if included only use column
                                    names as shown in the example.

    --kmer_file K-MER_FILE          The k-mer file holds all 2-, 3- and 4-mers considered for local
                                    clustering. If file does not exist it will automatically be
                                    generated.

    --reference                     Reference file used for simulation of sample sets.

Example:

CDR3b		TRBV	TRBJ	CDR3a		TRAV		TRAJ	Sample-ID
CAADTSSGANVLTF	TRBV30	TRBJ2-6	CALSDEDTGRRALTF	TRAV19		TRAJ5	09/02171
CAATGGDRAYEQYF	TRBV2	TRBJ2-7	CAASSGANSKLTF	TRAV13-1	TRAJ56	03/04922
CAATQQGETQYF	TRBV2	TRBJ2-5	CAASYGGSARQLTF	TRAV13-1	TRAJ22	02/02591
CACVSNTEAFF	TRBV28	TRBJ1-1	CAGDLNGAGSYQLTF	TRAV25		TRAJ28	PBMC8631
CAGGKGNSPLHF	TRBV2	TRBJ1-6	CVVLRGGSQGNLIF	TRAV12-1	TRAJ42	02/02071
CAGQILAGSDTQYF	TRBV6-4	TRBJ2-3	CATASGNTPLVF	TRAV17		TRAJ29	09/00181
CAGRTGVSTDTQYF	TRBV5-1	TRBJ2-3	CAVTPGGGADGLTF	TRAV41		TRAJ45	02/02591
CAGYTGRANYGYTF	TRBV2	TRBJ1-2	CVVNGGFGNVLHC	TRAV12-1	TRAJ35	01/08733

Optional Input



    --use_structural_boundaries     If set, the first and last three amino acids will be included
                                    in kmer counting and global clustering.

    --no_global                     No global clustering will be performed.

    --no_local                      No local clustering will be performed.

    --simulations                   Number of simulations that will be done for motif preprocessing. 
                                    Default is 1000.

    --min_kmer_occurence            Only kmers which occure at least min_kmer_occurences times in the
                                    sequence sample set will be taken in account. Default is 3.

    --max_p_value                   Only kmers with p_value < max_p_value will be used for clustering

    --cores                         Number of cores used for multiprocessing. Multiprocessing is done 
                                    during sample set simulation. Default: 1

    --stringent_filtering           Only TCRs starting with a cystein and ending with phenylalanine will be
                                    used (IGMT definition of CDR3 region). Default: False



