Hi...
This is the error I am getting while running the Trim galore and cutadapt... what is the exactly this error, and how can solve this problem ????
cutadapt/_align.c:8:22: fatal error: pyconfig.h: No such file or directory
#include "pyconfig.h"
^
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
----------------------------------------
Cleaning up...
Command /usr/bin/python -c "import setuptools, tokenize;__file__='/tmp/pip_build_manman/cutadapt/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-V_zM1D-record/install-record.txt --single-version-externally-managed --compile failed with error code 1 in /tmp/pip_build_manman/cutadapt
Storing debug log for failure in /home/manman/.pip/pip.log
How did you install them? Are you facing errors while installing them?
Yes, I have a problem in installing the cutadapt software itself.
hi..
@Devon Ryan...
please tell me that
can I use this file as a reference genome for Tophat since they have mentioned that word as Variant ??
please check the link given bellow:
ftp://ftp.ncbi.nlm.nih.gov/sra/reports/Assembly/GRCh37-HG19_Broad_variant/Homo_sapiens_assembly19.fasta
This should be a new question, but there's no reason you shouldn't be able to use that. Just keep in mind that the annotation file you might get from elsewhere may or may not match it.
thanks Ryan:
but one thing I didn't understand what is the deference between the UCSC fasta file as a reference and this file... as a reference file will be better...and what about the Variant they have mentioned in root directory ???
"Difference", not "deference".
It's unclear exactly what the differences are. At least the b37 reference from Broad has a slightly different sequence and possibly some different contigs in some cases. You'd have to either ask someone from the Broad (they have documentation about this somewhere) or just look yourself by comparing the sequences. In any case, unless you're calling variants on the same samples, then you might as well just use either the UCSC or Ensembl references.