Delete unneeded directory

[jabaws.git] / website / archive / binaries / mac / src / muscle / henikoffweight.cpp

diff --git a/website/archive/binaries/mac/src/muscle/henikoffweight.cpp b/website/archive/binaries/mac/src/muscle/henikoffweight.cpp
deleted file mode 100644 (file)
index 53f3b34..0000000
--- a/website/archive/binaries/mac/src/muscle/henikoffweight.cpp
+++ /dev/null
@@ -1,84 +0,0 @@
-#include "muscle.h"\r
-#include "msa.h"\r
-\r
-/***\r
-Compute Henikoff weights.\r
-Steven Henikoff and Jorja G. Henikoff (1994), Position-based sequence weights.\r
-J. Mol. Biol., 243(4):574-578.\r
-\r
-Award each different residue an equal share of the weight, and then to divide up\r
-that weight equally among the sequences sharing the same residue. So if in a\r
-position of a multiple alignment, r different residues are represented, a residue\r
-represented in only one sequence contributes a score of 1/r to that sequence, whereas a\r
-residue represented in s sequences contributes a score of 1/rs to each of the s\r
-sequences. For each sequence, the contributions from each position are summed to give\r
-a sequence weight.\r
-\r
-See also HenikoffWeightPB.\r
-***/\r
-\r
-void MSA::CalcHenikoffWeightsCol(unsigned uColIndex) const\r
-       {\r
-       const unsigned uSeqCount = GetSeqCount();\r
-\r
-// Compute letter counts in this column\r
-       unsigned uLetterCount[MAX_ALPHA];\r
-       memset(uLetterCount, 0, sizeof(uLetterCount));\r
-       unsigned uDifferentLetterCount = 0;\r
-       for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex)\r
-               {\r
-               unsigned uLetter = GetLetterEx(uSeqIndex, uColIndex);\r
-               if (uLetter >= 20)\r
-                       continue;\r
-               unsigned uNewCount = uLetterCount[uLetter] + 1;\r
-               uLetterCount[uLetter] = uNewCount;\r
-               if (1 == uNewCount)\r
-                       ++uDifferentLetterCount;\r
-               }\r
-\r
-// Compute weight contributions\r
-       for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex)\r
-               {\r
-               unsigned uLetter = GetLetterEx(uSeqIndex, uColIndex);\r
-               if (uLetter >= 20)\r
-                       continue;\r
-               const unsigned uCount = uLetterCount[uLetter];\r
-               unsigned uDenom = uCount*uDifferentLetterCount;\r
-               if (uDenom == 0)\r
-                       continue;\r
-               m_Weights[uSeqIndex] += (WEIGHT) (1.0/uDenom);\r
-               }\r
-       }\r
-\r
-void MSA::SetHenikoffWeights() const\r
-       {\r
-       const unsigned uColCount = GetColCount();\r
-       const unsigned uSeqCount = GetSeqCount();\r
-\r
-       if (0 == uSeqCount)\r
-               return;\r
-       else if (1 == uSeqCount)\r
-               {\r
-               m_Weights[0] = (WEIGHT) 1.0;\r
-               return;\r
-               }\r
-       else if (2 == uSeqCount)\r
-               {\r
-               m_Weights[0] = (WEIGHT) 0.5;\r
-               m_Weights[1] = (WEIGHT) 0.5;\r
-               return;\r
-               }\r
-\r
-       for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex)\r
-               m_Weights[uSeqIndex] = 0.0;\r
-\r
-       for (unsigned uColIndex = 0; uColIndex < uColCount; ++uColIndex)\r
-               CalcHenikoffWeightsCol(uColIndex);\r
-\r
-// Set all-gap seqs weight to 0\r
-       for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex)\r
-               if (IsGapSeq(uSeqIndex))\r
-                       m_Weights[uSeqIndex] = 0.0;\r
-\r
-       Normalize(m_Weights, uSeqCount);\r
-       }\r