| |
| |
| |
| |
| """Tools to manipulate data from nmrview .xpk peaklist files.""" |
|
|
| HEADERLEN = 6 |
|
|
|
|
| class XpkEntry: |
| """Provide dictionary access to single entry from nmrview .xpk file. |
| |
| This class is suited for handling single lines of non-header data |
| from an nmrview .xpk file. This class provides methods for extracting |
| data by the field name which is listed in the last line of the |
| peaklist header. |
| |
| Parameters |
| ---------- |
| xpkentry : str |
| The line from an nmrview .xpk file. |
| xpkheadline : str |
| The line from the header file that gives the names of the entries. |
| This is typically the sixth line of the header, 1-origin. |
| |
| Attributes |
| ---------- |
| fields : dict |
| Dictionary of fields where key is in header line, value is an entry. |
| Variables are accessed by either their name in the header line as in |
| self.field["H1.P"] will return the H1.P entry for example. |
| self.field["entrynum"] returns the line number (1st field of line) |
| |
| """ |
|
|
| def __init__(self, entry, headline): |
| """Initialize the class.""" |
| |
| |
| datlist = entry.split() |
| headlist = headline.split() |
|
|
| self.fields = dict(zip(headlist, datlist[1:])) |
|
|
| try: |
| self.fields["entrynum"] = datlist[0] |
| except IndexError: |
| pass |
|
|
|
|
| class Peaklist: |
| """Provide access to header lines and data from a nmrview xpk file. |
| |
| Header file lines and file data are available as attributes. |
| |
| Parameters |
| ---------- |
| infn : str |
| The input nmrview filename. |
| |
| Attributes |
| ---------- |
| firstline : str |
| The first line in the header. |
| axislabels : str |
| The axis labels. |
| dataset : str |
| The label of the dataset. |
| sw : str |
| The sw coordinates. |
| sf : str |
| The sf coordinates. |
| datalabels : str |
| The labels of the entries. |
| |
| data : list |
| File data after header lines. |
| |
| Examples |
| -------- |
| >>> from Bio.NMR.xpktools import Peaklist |
| >>> peaklist = Peaklist('../Doc/examples/nmr/noed.xpk') |
| >>> peaklist.firstline |
| 'label dataset sw sf ' |
| >>> peaklist.dataset |
| 'test.nv' |
| >>> peaklist.sf |
| '{599.8230 } { 60.7860 } { 60.7860 }' |
| >>> peaklist.datalabels |
| ' H1.L H1.P H1.W H1.B H1.E H1.J 15N2.L 15N2.P 15N2.W 15N2.B 15N2.E 15N2.J N15.L N15.P N15.W N15.B N15.E N15.J vol int stat ' |
| |
| """ |
|
|
| def __init__(self, infn): |
| """Initialize the class.""" |
| with open(infn) as infile: |
| |
| self.firstline = infile.readline().split("\012")[0] |
| self.axislabels = infile.readline().split("\012")[0] |
| self.dataset = infile.readline().split("\012")[0] |
| self.sw = infile.readline().split("\012")[0] |
| self.sf = infile.readline().split("\012")[0] |
| self.datalabels = infile.readline().split("\012")[0] |
|
|
| |
| self.data = [line.split("\012")[0] for line in infile] |
|
|
| def residue_dict(self, index): |
| """Return a dict of lines in 'data' indexed by residue number or a nucleus. |
| |
| The nucleus should be given as the input argument in the same form as |
| it appears in the xpk label line (H1, 15N for example) |
| |
| Parameters |
| ---------- |
| index : str |
| The nucleus to index data by. |
| |
| Returns |
| ------- |
| resdict : dict |
| Mappings of index nucleus to data line. |
| |
| Examples |
| -------- |
| >>> from Bio.NMR.xpktools import Peaklist |
| >>> peaklist = Peaklist('../Doc/examples/nmr/noed.xpk') |
| >>> residue_d = peaklist.residue_dict('H1') |
| >>> sorted(residue_d.keys()) |
| ['10', '3', '4', '5', '6', '7', '8', '9', 'maxres', 'minres'] |
| >>> residue_d['10'] |
| ['8 10.hn 7.663 0.021 0.010 ++ 0.000 10.n 118.341 0.324 0.010 +E 0.000 10.n 118.476 0.324 0.010 +E 0.000 0.49840 0.49840 0'] |
| |
| """ |
| maxres = -1 |
| minres = -1 |
|
|
| |
| self.dict = {} |
| for line in self.data: |
| ind = XpkEntry(line, self.datalabels).fields[index + ".L"] |
| key = ind.split(".")[0] |
|
|
| res = int(key) |
|
|
| if maxres == -1: |
| maxres = res |
| if minres == -1: |
| minres = res |
|
|
| maxres = max([maxres, res]) |
| minres = min([minres, res]) |
| res = str(res) |
|
|
| try: |
| |
| self.dict[res].append(line) |
| except KeyError: |
| |
| self.dict[res] = [line] |
|
|
| self.dict["maxres"] = maxres |
| self.dict["minres"] = minres |
|
|
| return self.dict |
|
|
| def write_header(self, outfn): |
| """Write header lines from input file to handle ``outfn``.""" |
| with open(outfn, "w") as outfile: |
| outfile.write(self.firstline) |
| outfile.write("\012") |
| outfile.write(self.axislabels) |
| outfile.write("\012") |
| outfile.write(self.dataset) |
| outfile.write("\012") |
| outfile.write(self.sw) |
| outfile.write("\012") |
| outfile.write(self.sf) |
| outfile.write("\012") |
| outfile.write(self.datalabels) |
| outfile.write("\012") |
|
|
|
|
| def replace_entry(line, fieldn, newentry): |
| """Replace an entry in a string by the field number. |
| |
| No padding is implemented currently. Spacing will change if |
| the original field entry and the new field entry are of |
| different lengths. |
| """ |
| |
|
|
| start = _find_start_entry(line, fieldn) |
| leng = len(line[start:].split()[0]) |
| newline = line[:start] + str(newentry) + line[(start + leng) :] |
| return newline |
|
|
|
|
| def _find_start_entry(line, n): |
| """Find the starting character for entry ``n`` in a space delimited ``line`` (PRIVATE). |
| |
| n is counted starting with 1. |
| The n=1 field by definition begins at the first character. |
| |
| Returns |
| ------- |
| starting character : str |
| The starting character for entry ``n``. |
| |
| """ |
| |
|
|
| if n == 1: |
| return 0 |
|
|
| |
| c = 1 |
| leng = len(line) |
|
|
| |
| |
| if line[0] == " ": |
| infield = False |
| field = 0 |
| else: |
| infield = True |
| field = 1 |
|
|
| while c < leng and field < n: |
| if infield: |
| if line[c] == " " and line[c - 1] != " ": |
| infield = False |
| else: |
| if line[c] != " ": |
| infield = True |
| field += 1 |
|
|
| c += 1 |
|
|
| return c - 1 |
|
|
|
|
| def data_table(fn_list, datalabel, keyatom): |
| """Generate a data table from a list of input xpk files. |
| |
| Parameters |
| ---------- |
| fn_list : list |
| List of .xpk file names. |
| datalabel : str |
| The data element reported. |
| keyatom : str |
| The name of the nucleus used as an index for the data table. |
| |
| Returns |
| ------- |
| outlist : list |
| List of table rows indexed by ``keyatom``. |
| |
| """ |
| |
| outlist = [] |
|
|
| dict_list, label_line_list = _read_dicts(fn_list, keyatom) |
|
|
| |
| minr = dict_list[0]["minres"] |
| maxr = dict_list[0]["maxres"] |
|
|
| for dictionary in dict_list: |
| if maxr < dictionary["maxres"]: |
| maxr = dictionary["maxres"] |
| if minr > dictionary["minres"]: |
| minr = dictionary["minres"] |
|
|
| res = minr |
| while res <= maxr: |
| count = 0 |
| key = str(res) |
| line = key |
| for dictionary in dict_list: |
| label = label_line_list[count] |
| if key in dictionary: |
| line = ( |
| line + "\t" + XpkEntry(dictionary[key][0], label).fields[datalabel] |
| ) |
| else: |
| line += "\t*" |
| count += 1 |
| line += "\n" |
| outlist.append(line) |
| res += 1 |
|
|
| return outlist |
|
|
|
|
| def _read_dicts(fn_list, keyatom): |
| """Read multiple files into a list of residue dictionaries (PRIVATE).""" |
| dict_list = [] |
| datalabel_list = [] |
| for fn in fn_list: |
| peaklist = Peaklist(fn) |
| dictionary = peaklist.residue_dict(keyatom) |
| dict_list.append(dictionary) |
| datalabel_list.append(peaklist.datalabels) |
|
|
| return [dict_list, datalabel_list] |
|
|
|
|
| if __name__ == "__main__": |
| from Bio._utils import run_doctest |
|
|
| run_doctest() |
|
|