PositionSpecific Scoring Matrices
"PositionSpecific Scoring Matrices" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Tabular numerical representations of sequence motifs displaying their variability as likelihood values for each possible residue at each position in a sequence. Positionspecific scoring matrices (PSSMs) are calculated from position frequency matrices.
Descriptor ID 
D056510

MeSH Number(s) 
E05.318.740.600.650 E05.393.760.670 G02.111.570.580.175.500

Concept/Terms 
PositionSpecific Scoring Matrices PositionSpecific Scoring Matrices
 Matrices, PositionSpecific Scoring
 Position Specific Scoring Matrices
 Scoring Matrices, PositionSpecific
 PositionSpecific Weight Matrix
 Matrix, PositionSpecific Weight
 Position Specific Weight Matrix
 Weight Matrix, PositionSpecific
 PositionSpecific Scoring Matrix
 Matrix, PositionSpecific Scoring
 Position Specific Scoring Matrix
 Scoring Matrix, PositionSpecific
 PositionSpecific Weight Matrices
 Matrices, PositionSpecific Weight
 Position Specific Weight Matrices
 Weight Matrices, PositionSpecific
 Position Weight Matrices
 Matrices, Position Weight
 Weight Matrices, Position
 Position Weight Matrix
 Matrix, Position Weight
 Weight Matrix, Position
Sequence Logo Sequence Logo
 Logo, Sequence
 Logos, Sequence
 Sequence Logos

Below are MeSH descriptors whose meaning is more general than "PositionSpecific Scoring Matrices".
Below are MeSH descriptors whose meaning is more specific than "PositionSpecific Scoring Matrices".
This graph shows the total number of publications written about "PositionSpecific Scoring Matrices" by people in this website by year, and whether "PositionSpecific Scoring Matrices" was a major or minor topic of these publications.
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Year  Major Topic  Minor Topic  Total 

2010  0  1  1  2013  0  1  1  2017  1  0  1 
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Below are the most recent publications written about "PositionSpecific Scoring Matrices" by people in Profiles.

Zhang W, Zhu X, Fu Y, Tsuji J, Weng Z. Predicting human splicing branchpoints by combining sequencederived features and multilabel learning methods. BMC Bioinformatics. 2017 Dec 01; 18(Suppl 13):464.

Enuameh MS, Asriyan Y, Richards A, Christensen RG, Hall VL, Kazemian M, Zhu C, Pham H, Cheng Q, Blatti C, Brasefield JA, Basciotta MD, Ou J, McNulty JC, Zhu LJ, Celniker SE, Sinha S, Stormo GD, Brodsky MH, Wolfe SA. Global analysis of Drosophila Cys2His2 zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants. Genome Res. 2013 Jun; 23(6):92840.

PiqueRegi R, Degner JF, Pai AA, Gaffney DJ, Gilad Y, Pritchard JK. Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data. Genome Res. 2011 Mar; 21(3):44755.

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