合并重叠数值范围为连续范围
我正在尝试将一系列基因组坐标合并成连续的范围,并且希望能选择跨越间隙进行合并。
举个例子,如果我有这样的基因组范围 [[0, 1000], [5, 1100]]
,我希望得到的结果是 [0, 1100]
。如果设置了偏移选项为 100
,输入是 [[0, 1000], [1090, 1000]]
,我同样希望结果是 [0, 1100]
。
我实现了一种方法,按顺序遍历这些范围,尝试根据前一个结束位置和下一个开始位置进行合并,但这方法失败了,因为实际结果的长度各不相同。例如,我的结果是 [[138, 821],[177, 1158], [224, 905], [401, 1169]]
,这些结果是按开始位置排序的。正确的答案应该是 [138, 1169]
,但我得到的却是 [[138, 1158], [177, 905], [224, 1169]]
。显然,我需要考虑的不仅仅是前一个结束和下一个开始,但我还没有找到一个好的解决方案(最好是不要有一大堆的if语句)。有没有人有好的建议呢?
def overlap_alignments(align, gene, overlap):
#make sure alignments are sorted first by chromosome then by start pos on chrom
align = sorted(align, key = lambda x: (x[0], x[1]))
merged = list()
for i in xrange(1, len(align)):
prv, nxt = align[i-1], align[i]
if prv[0] == nxt[0] and prv[2] + overlap >= nxt[1]:
start, end = prv[1], nxt[2]
chrom = prv[0]
merged.append([chrom, start, end, gene])
return merged
2 个回答
5
Python自带了一些很方便的工具:
from itertools import chain
flatten = chain.from_iterable
LEFT, RIGHT = 1, -1
def join_ranges(data, offset=0):
data = sorted(flatten(((start, LEFT), (stop + offset, RIGHT))
for start, stop in data))
c = 0
for value, label in data:
if c == 0:
x = value
c += label
if c == 0:
yield x, value - offset
if __name__ == '__main__':
print list(join_ranges([[138, 821], [900, 910], [905, 915]]))
print list(join_ranges([[138, 821], [900, 910], [905, 915]], 80))
结果:
[(138, 821), (900, 915)]
[(138, 915)]
它是怎么工作的:我们把每个开始点和结束点都标记出来,然后把它们排序。接着,我们就可以简单地对每个开始点计数加一,对每个结束点计数减一。如果我们开始点和结束点的计数是一样的,那就说明我们有一个闭合的(连接的)范围。
4
那么,如何记录每个开始和结束的位置,以及每个位置属于多少个范围呢?
def overlap_alignments(align, overlap):
# create a list of starts and ends
stends = [ (a[0], 1) for a in align ]
stends += [ (a[1] + overlap, -1) for a in align ]
stends.sort(key=lambda x: x[0])
# now we should have a list of starts and ends ordered by position,
# e.g. if the ranges are 5..10, 8..15, and 12..13, we have
# (5,1), (8,1), (10,-1), (12,1), (13,-1), (15,-1)
# next, we form a cumulative sum of this
s = 0
cs = []
for se in stends:
s += se[1]
cs.append((se[0], s))
# this is, with the numbers above, (5,1), (8,2), (10,1), (12,2), (13,1), (15,0)
# so, 5..8 belongs to one range, 8..10 belongs to two overlapping range,
# 10..12 belongs to one range, etc
# now we'll find all contiguous ranges
# when we traverse through the list of depths (number of overlapping ranges), a new
# range starts when the earlier number of overlapping ranges has been 0
# a range ends when the new number of overlapping ranges is zero
prevdepth = 0
start = 0
combined = []
for pos, depth in cs:
if prevdepth == 0:
start = pos
elif depth == 0
combined.append((start, pos-overlap))
prevdepth = depth
return combined
这比解释起来要简单得多。(当然,累积和可以用更简短的方式表示,但我觉得这样更清晰。)
为了更直观地解释,我们来看看输入([5,10],[8,15],[12,13],[16,20])和重叠值为1的情况。
.....XXXXXo.............. (5-10)
........XXXXXXXo......... (8-15)
............Xo........... (12-13)
................XXXXo.... (16-20)
.....1112221221111111.... number of ranges at each position
.....----------------.... number of ranges > 0
.....---------------..... overlap corrected (5-20)