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Pregled bibliografske jedinice broj: 773712

RNA-seq mapper


Jerković, Igor
RNA-seq mapper, 2014., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb


CROSBI ID: 773712 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
RNA-seq mapper

Autori
Jerković, Igor

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
01.07

Godina
2014

Stranica
38

Mentor
Šikić, Mile

Ključne riječi
RNA sequencing; hash; longest increasing subsequence; bioinformatics; genome; transcriptome

Sažetak
RNA sequencing is a method for transcriptome analysis. Understanding the transcriptome is essential for various reasons such as interpreting the functional elements of the genome and undrestanding development of diseases, among many other use cases. This thesis presents a new RNA-seq spliced alignment algorithm, that uses finding the longest increasing subsequence in detecting splice sites and mapping spliced reads across exon junctions. Comparison between some of the state-of-the-art tools such as Tophat and BBMap are given.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mile Šikić (mentor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Jerković, Igor
RNA-seq mapper, 2014., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
Jerković, I. (2014) 'RNA-seq mapper', diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Jerkovi\'{c}, Igor}, year = {2014}, pages = {38}, keywords = {RNA sequencing, hash, longest increasing subsequence, bioinformatics, genome, transcriptome}, title = {RNA-seq mapper}, keyword = {RNA sequencing, hash, longest increasing subsequence, bioinformatics, genome, transcriptome}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Jerkovi\'{c}, Igor}, year = {2014}, pages = {38}, keywords = {RNA sequencing, hash, longest increasing subsequence, bioinformatics, genome, transcriptome}, title = {RNA-seq mapper}, keyword = {RNA sequencing, hash, longest increasing subsequence, bioinformatics, genome, transcriptome}, publisherplace = {Zagreb} }




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