Mav*_*ang 8 c# algorithm bioinformatics
我正在寻找一种用于搜索目的的快速算法,这是一个巨大的字符串(它是一个由数亿到数十亿个字符组成的生物基因组序列).
该字符串中只有4个字符{A,C,G,T},"A"只能与"T"配对,而"C"与"G"配对.
现在我正在寻找两个子串({minLen,maxLen}之间的子串的长度约束,以及{intervalMinLen,intervalMaxLen}之间的间隔长度),它们可以反平行地相互配对.
例如,字符串是:ATCAG GACCA TACGC CTGAT
约束:minLen = 4,maxLen = 5,intervalMinLen = 9,intervalMaxLen = 10
结果应该是
"ATCAG"配对"CTGAT"
"TCAG"配对"CTGA"
提前致谢.
更新:我已经有了确定两个字符串是否可以相互配对的方法.唯一的问题是进行详尽的搜索是非常耗时的.
我认为这是一个有趣的问题,所以我编写了一个基于考虑“折叠”的程序,该程序从不同的“折叠点”向外扫描可能的对称匹配。如果 N 是核苷酸数量,M 是“maxInterval-minInterval”,则运行时间应该为 O(N*M)。我可能错过了一些边界情况,因此请小心使用代码,但它确实适用于提供的示例。请注意,我使用了填充的中间缓冲区来存储基因组,因为这减少了内部循环中所需的边界情况的比较次数;这会牺牲额外的内存分配以获得更好的速度。如果您进行任何更正或改进,请随时编辑该帖子。
class Program
{
public sealed class Pairing
{
public int Index { get; private set; }
public int Length { get; private set; }
public int Offset { get; private set; }
public Pairing(int index, int length, int offset)
{
Index = index;
Length = length;
Offset = offset;
}
}
public static IEnumerable<Pairing> FindPairings(string genome, int minLen, int maxLen, int intervalMinLen, int intervalMaxLen)
{
int n = genome.Length;
var padding = new string((char)0, maxLen);
var padded = string.Concat(padding, genome, padding);
int start = (intervalMinLen + minLen)/2 + maxLen;
int end = n - (intervalMinLen + minLen)/2 + maxLen;
//Consider 'fold locations' along the genome
for (int i=start; i<end; i++)
{
//Consider 'odd' folding (centered on index) about index i
int k = (intervalMinLen+2)/2;
int maxK = (intervalMaxLen + 2)/2;
while (k<=maxK)
{
int matchLength = 0;
while (IsPaired(padded[i - k], padded[i + k]) && (k <= (maxK+maxLen)))
{
matchLength++;
if (matchLength >= minLen && matchLength <= maxLen)
{
yield return new Pairing(i-k - maxLen, matchLength, 2*k - (matchLength-1));
}
k++;
}
k++;
}
//Consider 'even' folding (centered before index) about index i
k = (intervalMinLen+1)/2;
while (k <= maxK)
{
int matchLength = 0;
while (IsPaired(padded[i - (k+1)], padded[i + k]) && (k<=maxK+maxLen))
{
matchLength++;
if (matchLength >= minLen && matchLength <= maxLen)
{
yield return new Pairing(i - (k+1) - maxLen, matchLength, 2*k + 1 - (matchLength-1));
}
k++;
}
k++;
}
}
}
private const int SumAT = 'A' + 'T';
private const int SumGC = 'G' + 'C';
private static bool IsPaired(char a, char b)
{
return (a + b) == SumAT || (a + b) == SumGC;
}
static void Main(string[] args)
{
string genome = "ATCAGGACCATACGCCTGAT";
foreach (var pairing in FindPairings(genome, 4, 5, 9, 10))
{
Console.WriteLine("'{0}' pair with '{1}'",
genome.Substring(pairing.Index, pairing.Length),
genome.Substring(pairing.Index + pairing.Offset, pairing.Length));
}
Console.ReadKey();
}
}
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