Fasta map class

• At first we create a named tuple that will contain the sample information needed for both sorting and filtering.
• We go through the CSV table once to create a dictionary as a key we will have the region and as a value a list where we will add those values registered in the named tuple.
• When we already have the dictionary, we pass the list to the function get_average_row that will return the sample line that has the average value in the samples of each region.
• Finally the list comprehension will filter the csv with our samples.

class FastaMap

Represents a Map that stores RNA codes.

A fasta map is initialised using:

fasta_map = FastaMap(path_file) # file_path: The path to the .fasta file 

_read_fasta

Reads a fasta file and returns a dict where the keys are the accessions and the values are the RNA sequences

        :param: file_path
        :return: sequences: Dict[str, str]

_get_rna

Get the header and the RNA from a String

        :param: A String that contains info about the genome
        :return: A Id-value: Tuple[str, str]

group_samples

Creation Sets "family samples"

        :param: csv_table:
        :return: tuple of relations: Tuple[List[set]]

compare_multi

Function to parallelize comparisons

        :param ids :
        :return: Tuple of relations: Tuple[str, str, float]

generate_relations

Generate tuple of list where this list stores all sample's name

        :param compares:
        :return: Tuple relation of samples: Tuple[List[set]]