def summarizeFastQC(infiles, outfiles):
all_files = []
for infile in infiles:
track = P.snip(infile, ".fastqc")
all_files.extend(
glob.glob(os.path.join(track + "*_fastqc", "fastqc_data.txt")))
dfs = PipelineReadqc.read_fastqc(all_files)
for key, df in dfs.items():
fn = re.sub("basic_statistics", key, outfiles[0])
E.info("writing to {}".format(fn))
with IOTools.open_file(fn, "w") as outf:
df.to_csv(outf, sep="\t", index=True)
