• Je něco špatně v tomto záznamu ?

SATrans: New Free Available Software for Annotation of Transcriptome and Functional Analysis of Differentially Expressed Genes

F. Zavadil Kokáš, V. Bergougnoux, M. Majeská Čudejková,

. 2019 ; 26 (2) : 117-123. [pub] 20181016

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20022903

Recent technological advances have made next-generation sequencing (NGS) a popular and financially accessible technique allowing a broad range of analyses to be done simultaneously. A huge amount of newly generated NGS data, however, require advanced software support to help both in analyzing the data and biologically interpreting the results. In this article, we describe SATrans (Software for Annotation of Transcriptome), a software package providing fast and robust functional annotation of novel sequences obtained from transcriptome sequencing. Moreover, it performs advanced gene ontology analysis of differentially expressed genes, thereby helping to interpret biologically-and in a user-friendly form-the quantitative changes in gene expression. The software is freely available and provides the possibility to work with thousands of sequences using a standard personal computer or notebook running on the Linux operating system.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20022903
003      
CZ-PrNML
005      
20201214124945.0
007      
ta
008      
201125s2019 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1089/cmb.2018.0149 $2 doi
035    __
$a (PubMed)30328709
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Zavadil Kokáš, Filip $u Department of Molecular Biology, Centre of Region Haná for Biotechnological and Agricultural Research, Palacký University in Olomouc, Olomouc, Czech Republic.
245    10
$a SATrans: New Free Available Software for Annotation of Transcriptome and Functional Analysis of Differentially Expressed Genes / $c F. Zavadil Kokáš, V. Bergougnoux, M. Majeská Čudejková,
520    9_
$a Recent technological advances have made next-generation sequencing (NGS) a popular and financially accessible technique allowing a broad range of analyses to be done simultaneously. A huge amount of newly generated NGS data, however, require advanced software support to help both in analyzing the data and biologically interpreting the results. In this article, we describe SATrans (Software for Annotation of Transcriptome), a software package providing fast and robust functional annotation of novel sequences obtained from transcriptome sequencing. Moreover, it performs advanced gene ontology analysis of differentially expressed genes, thereby helping to interpret biologically-and in a user-friendly form-the quantitative changes in gene expression. The software is freely available and provides the possibility to work with thousands of sequences using a standard personal computer or notebook running on the Linux operating system.
650    _2
$a zvířata $7 D000818
650    _2
$a stanovení celkové genové exprese $x metody $7 D020869
650    _2
$a lidé $7 D006801
650    _2
$a anotace sekvence $x metody $7 D058977
650    _2
$a sekvenční analýza RNA $x metody $7 D017423
650    12
$a software $7 D012984
650    12
$a transkriptom $7 D059467
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Bergougnoux, Véronique $u Department of Molecular Biology, Centre of Region Haná for Biotechnological and Agricultural Research, Palacký University in Olomouc, Olomouc, Czech Republic.
700    1_
$a Majeská Čudejková, Mária $u Department of Molecular Biology, Centre of Region Haná for Biotechnological and Agricultural Research, Palacký University in Olomouc, Olomouc, Czech Republic.
773    0_
$w MED00205648 $t Journal of computational biology : a journal of computational molecular cell biology $x 1557-8666 $g Roč. 26, č. 2 (2019), s. 117-123
856    41
$u https://pubmed.ncbi.nlm.nih.gov/30328709 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201214124945 $b ABA008
999    __
$a ok $b bmc $g 1595222 $s 1113579
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 26 $c 2 $d 117-123 $e 20181016 $i 1557-8666 $m Journal of computational biology $n J Comput Biol $x MED00205648
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Nahrávání dat ...

    Možnosti archivace