KaMRAT: a C++ toolkit for k-mer count ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
KaMRAT: a C++ toolkit for k-mer count matrix dimension reduction
Author(s) :
Xue, Haoliang [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Gallopin, Mélina [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Marchet, Camille [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Nguyen, Ha [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Wang, Yunfeng [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Lainé, Antoine [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Bessiere, Chloé [Auteur]
Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB)
Gautheret, Daniel [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Institut de Biologie Intégrative de la Cellule [I2BC]
Gallopin, Mélina [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Marchet, Camille [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Nguyen, Ha [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Wang, Yunfeng [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Lainé, Antoine [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Bessiere, Chloé [Auteur]
Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB)
Gautheret, Daniel [Auteur]
Institut de Biologie Intégrative de la Cellule [I2BC]
Journal title :
Bioinformatics
Pages :
btae090
Publisher :
Oxford University Press (OUP)
Publication date :
2024-11-04
ISSN :
1367-4803
HAL domain(s) :
Informatique [cs]
Informatique [cs]/Bio-informatique [q-bio.QM]
Informatique [cs]/Bio-informatique [q-bio.QM]
English abstract : [en]
Motivation: KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of ...
Show more >Motivation: KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of gene or transcript annotation. Results: KaMRaT is implemented in Cþþ. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into contigs and selecting k-mers based on their occurrence across specific samples.Show less >
Show more >Motivation: KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of gene or transcript annotation. Results: KaMRaT is implemented in Cþþ. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into contigs and selecting k-mers based on their occurrence across specific samples.Show less >
Language :
Anglais
Popular science :
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