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Shapiro–Senapathy algorithm

The Shapiro—Senapathy algorithm (S&S) is a computational method for identifying splice sites in eukaryotic genes. The algorithm employs a Position Weight Matrix (PWM) scoring formula to predict donor and acceptor splice sites in any given gene. This methodology has been used to discover splice sites and disease-causing splice site mutations in the human…

Research, Cancer gene discovery using S&S & Genes causing immune system disorders

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Cancer gene discovery using S&S

Breast cancerOvarian cancerColorectal cancerLeukemiaHead and neck cancers
25 related topics

Genes causing immune system disorders

Inflammatory bowel diseasesMultiple sclerosisSystemic lupus erythematosusBloom syndromeFamilial cold autoinflammatory syndrome
13 related topics

Discovery of genes causing inherited disorders using S&S

Type 1 diabetesHypertensionMarfan syndromeCardiac diseases
4 related topics

S&S in animal and plant genomics research

MorpholinoFut8
2 related topics

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Overview

The algorithm

Cancer gene discovery using S&S

Discovery of genes causing inherited disorders using S&S

Genes causing immune system disorders

S&S in animal and plant genomics research

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Map overview Semantic statistics

Shapiro–Senapathy algorithm

Nodes56
Edges55
Triples28
Avg. degree1.96
Density0.035714
Components1

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Shapiro–Senapathy algorithm

Top relations

related to S&S - Algorithm for identifying splice sites, exons and split genes · 8
Shapiro–Senapathy algorithm → Human Genome Project, Key, Position Weight Matrix, PWM, Senapathy, SSA, The, The Shapiro
related to Genes causing immune system disorders · 7
Shapiro–Senapathy algorithm → Ataxia, B-cell, More, Senapathy, The Shapiro, X-linked, Xeroderma
has application · 6
Shapiro–Senapathy algorithm → Cryptic, However, Senapathy, Shapiro, The, When
related to Discovering the mechanisms of aberrant splicing in diseases · 6
Shapiro–Senapathy algorithm → Deleterious, On, Senapathy, The, The Shapiro, This

Important terminology Word statistics

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Important terminology

splice sites algorithm mutations splicing site gene genes cryptic used diseases including intron donor exon clinical cancers mrna senapathy acceptor

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Human Splicing Finderinstance ofIt is implemented in various computational tools0.80text
Shapiro–Senapathy algorithmhas applicationThe0.60section
Shapiro–Senapathy algorithmhas applicationWhen0.60section
Shapiro–Senapathy algorithmhas applicationShapiro0.60section
Shapiro–Senapathy algorithmhas applicationSenapathy0.60section
Shapiro–Senapathy algorithmhas applicationCryptic0.60section
Shapiro–Senapathy algorithmhas applicationHowever0.60section
Shapiro–Senapathy algorithmrelated to Discovering the mechanisms of aberrant splicing in diseasesThe Shapiro0.60section
Shapiro–Senapathy algorithmrelated to Discovering the mechanisms of aberrant splicing in diseasesSenapathy0.60section
Shapiro–Senapathy algorithmrelated to Discovering the mechanisms of aberrant splicing in diseasesDeleterious0.60section
Shapiro–Senapathy algorithmrelated to Discovering the mechanisms of aberrant splicing in diseasesThis0.60section
Shapiro–Senapathy algorithmrelated to Discovering the mechanisms of aberrant splicing in diseasesOn0.60section

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