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GTF Parsing

Project Description
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Parsing tools for GTF (gene transfer format) files.

# Example usage

## Parsing all rows of a GTF file into a Pandas DataFrame

from gtfparse import read_gtf_as_dataframe

# returns GTF with essential columns such as "feature", "seqname", "start", "end"
# alongside the names of any optional keys which appeared in the attribute column
df = read_gtf_as_dataframe("gene_annotations.gtf")

# filter DataFrame to gene entries on chrY
df_genes = df[df["feature"] == "gene"]
df_genes_chrY = df_genes[df_genes["seqname"] == "Y"]

## Getting gene FPKM values from a StringTie GTF file

from gtfparse import read_gtf_as_dict

gtf_dict = read_gtf_as_dict(
column_converters={"FPKM": float})

gene_fpkms = {
gene_name: fpkm
for (gene_name, fpkm, feature)
in zip(gtf_dict["gene_name"], gtf_dict["FPKM"], gtf_dict["feature"])
if feature == "gene"
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
gtfparse-0.0.6.tar.gz (11.5 kB) Copy SHA256 Checksum SHA256 Source May 10, 2016

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