Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Prapaporn Techa-Angkoon"'
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S15, Pp 1-15 (2019)
Abstract Background Gene is a key step in genome annotation. Ab initio gene prediction enables gene annotation of new genomes regardless of availability of homologous sequences. There exist a number of ab initio gene prediction tools and they have be
Externí odkaz:
https://doaj.org/article/6c3784b70a1c4679879b31b813d1442d
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S12, Pp 77-89 (2017)
Abstract Background Homology search is still a significant step in functional analysis for genomic data. Profile Hidden Markov Model-based homology search has been widely used in protein domain analysis in many different species. In particular, with
Externí odkaz:
https://doaj.org/article/a98663b581954e2684375e2e465eec08
Autor:
Tanad Singlow, Prapaporn Techa-Angkoon, Jakramate Bootkrajang, Chutipong Suwannajak, Nahathai Tanakul
Publikováno v:
2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Autor:
Prapaporn Techa-Angkoon, Chutipong Suwannajak, Worawit Kaewplik, Jakramate Bootkrajang, Nahathai Tanakul, Douangpond Loongkum
Publikováno v:
JCSSE
Variable stars are stars whose brightness changes overtime. Due to their change of brightness, they are relatively easy to observe. Astronomers use variable stars as a tool to learn about the formation and evolution of the system that they are in. Di
Autor:
Chutipong Suwannajak, Nahathai Tanakul, Tapanapong Chuntama, Prapaporn Techa-Angkoon, Benjamas Panyangam
Publikováno v:
2020 24th International Computer Science and Engineering Conference (ICSEC).
Data in astronomy usually contain various classes of astronomical objects. In this study, we explore the application of multiclass classification in classifying astronomical objects in the galaxy MS1. Our objective is to specify machine learning tech
Autor:
Benjamas Panyangam, Chutipong Suwannajak, Prapaporn Techa-Angkoon, Phatcharapon Sookmee, Nahathai Tanakul
Publikováno v:
JCSSE
Globular clusters are very important in astronomy since they can be used to study the process of galaxy formation and evolution. With the exponential growth of data in astronomy, it is currently inefficient to classify globular clusters from the othe
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S12, Pp 77-89 (2017)
BMC Bioinformatics
BMC Bioinformatics
Homology search is still a significant step in functional analysis for genomic data. Profile Hidden Markov Model-based homology search has been widely used in protein domain analysis in many different species. In particular, with the fast accumulatio
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10:274-285
Noncoding RNA (ncRNA) identification is highly important to modern biology. The state-of-the-art method for ncRNA identification is based on comparative genomics, in which evolutionary conservations of sequences and secondary structures provide impor
Publikováno v:
BCB
Pseudoknot is an important structural motif in many types of ncRNAs. However, the accuracy of pseudoknot derivation is still not satisfactory even for simple pseudoknotted structures and short sequences. In this work, we design and implement an effec
Autor:
Prapaporn Techa-angkoon, Yanni Sun
Publikováno v:
BCB
Generating reliable alignments for ncRNAs is an important step in ncRNA secondary structure prediction and ncRNA gene finding. Existing sequence alignment programs can generate reliable alignments for ncRNAs with high sequence conservation. For highl