Пример #1
0
 def read_track(self, bedgraph, start=None, end=None, empty=np.nan, flank=None):
     """Read track values from BigWig file handle"""
     if start:
         self.start = start
     if end:
         self.end = end
     if flank:
         self.start = self.start - flank
         self.end = self.end + flank
     handle = BedGraphFile(bedgraph)
     self.vals = handle.read(self.chrom, self.start, self.end, empty=empty)
     handle.close()
Пример #2
0
 def read_track(self, bedgraph, start = None, end = None, empty = np.nan, flank = None):
     """Read track values from BigWig file handle"""
     if start:
         self.start = start
     if end:
         self.end = end
     if flank:
         self.start = self.start - flank
         self.end = self.end + flank
     handle = BedGraphFile(bedgraph)
     self.vals = handle.read(self.chrom, self.start,
                                  self.end, empty = empty)
     handle.close()
Пример #3
0
def _signalHelper(arg):
    """Get aggregate signal around a set of sites

    """
    (chunks, params) = arg
    bg = BedGraphFile(params.bg)
    agg = np.zeros(params.up + params.down + 1)
    if params.all:
        counter = 0
        mat = np.zeros((len(chunks), params.up + params.down + 1))
    else:
        agg = np.zeros(params.up + params.down + 1)
    for chunk in chunks:
        try:
            chunk.center()
            if params.up != 0 and params.down != 0:
                chunk.slop(chromDict=params.chrs,
                           up=params.up,
                           down=params.down)
            sig = bg.read(chunk.chrom, chunk.start, chunk.end)
            if params.up != 0 and params.down != 0 and len(sig) != (
                    params.up + params.down + 1):
                if chunk.start == 0:
                    sig = np.hstack(
                        (np.zeros(params.up + params.down + 1 - len(sig)),
                         sig))
                else:
                    sig = np.hstack(
                        (sig,
                         np.zeros(params.up + params.down + 1 - len(sig))))
            if chunk.strand == "-":
                sig = sig[::-1]
            if params.exp:
                sig = np.exp(sig)
            if params.positive:
                sig[sig < 0] = 0
            if params.scale:
                tmp = sig
                tmp[np.isnan(tmp)] = 0
                sig = sig / (np.sum(abs(sig)) + (np.sum(abs(sig)) == 0))
            if params.all:
                mat[counter] = sig
                counter += 1
            else:
                sig[np.isnan(sig)] = 0
                agg += sig
        except Exception as e:
            print(
                ('Caught exception when processing:\n' + chunk.asBed() + "\n"))
            traceback.print_exc()
            print()
            bg.close()
            raise e
    bg.close()
    if params.all:
        return mat
    else:
        return agg
Пример #4
0
def _signalHelper(arg):
    """Get aggregate signal around a set of sites

    """
    (chunks, params) = arg
    bg = BedGraphFile(params.bg)
    agg = np.zeros(params.up + params.down + 1)
    if params.all:
        counter = 0
        mat = np.zeros((len(chunks),params.up + params.down + 1))
    else:
        agg = np.zeros(params.up + params.down + 1)
    for chunk in chunks:
        try:
            chunk.center()
            if params.up!=0 and params.down!=0:
                chunk.slop(chromDict = params.chrs, up = params.up, down = params.down)
            sig = bg.read(chunk.chrom, chunk.start, chunk.end)
            if params.up!=0 and params.down!=0 and len(sig) != (params.up + params.down + 1):
                if chunk.start == 0:
                    sig = np.hstack((np.zeros(params.up + params.down + 1 - len(sig)),
                                    sig))
                else:
                    sig = np.hstack((sig,np.zeros(params.up + params.down + 1 - len(sig))))
            if chunk.strand == "-":
                sig = sig[::-1]
            if params.exp:
                sig = np.exp(sig)
            if params.positive:
                sig[sig<0]=0
            if params.scale:
                tmp = sig
                tmp[np.isnan(tmp)]=0
                sig = sig / (np.sum(abs(sig))+ (np.sum(abs(sig))==0))
            if params.all:
                mat[counter] = sig
                counter += 1
            else:
                sig[np.isnan(sig)]=0
                agg += sig
        except Exception as e:
            print('Caught exception when processing:\n' + chunk.asBed() + "\n")
            traceback.print_exc()
            print()
            bg.close()
            raise e
    bg.close()
    if params.all:
        return mat
    else:
        return agg