A beginner's guide to eukaryotic genome annotation
M Yandell, D Ence - Nature Reviews Genetics, 2012 - nature.com
The falling cost of genome sequencing is having a marked impact on the research
community with respect to which genomes are sequenced and how and where they are …
community with respect to which genomes are sequenced and how and where they are …
Review on the computational genome annotation of sequences obtained by next-generation sequencing
GF Ejigu, J Jung - Biology, 2020 - mdpi.com
Simple Summary Due to the development of high-throughput sequencing technologies,
computational genome annotation of sequences has become one of the principal research …
computational genome annotation of sequences has become one of the principal research …
Assessment of transcript reconstruction methods for RNA-seq
We evaluated 25 protocol variants of 14 independent computational methods for exon
identification, transcript reconstruction and expression-level quantification from RNA-seq …
identification, transcript reconstruction and expression-level quantification from RNA-seq …
Identification of novel transcripts in annotated genomes using RNA-Seq
We describe a new 'reference annotation based transcript assembly'problem for RNA-Seq
data that involves assembling novel transcripts in the context of an existing annotation. This …
data that involves assembling novel transcripts in the context of an existing annotation. This …
Integrative annotation of chromatin elements from ENCODE data
The ENCODE Project has generated a wealth of experimental information map** diverse
chromatin properties in several human cell lines. Although each such data track is …
chromatin properties in several human cell lines. Although each such data track is …
Multiple reference genomes and transcriptomes for Arabidopsis thaliana
Genetic differences between Arabidopsis thaliana accessions underlie the plant's extensive
phenotypic variation, and until now these have been interpreted largely in the context of the …
phenotypic variation, and until now these have been interpreted largely in the context of the …
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia
Lead (Pb) is a primary toxic heavy metal (HM) which present throughout the entire
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
ecosystem. Some commonly observed challenges in HM (Pb) prediction using artificial …
Machine learning: a powerful tool for gene function prediction in plants
Recent advances in sequencing and informatic technologies have led to a deluge of publicly
available genomic data. While it is now relatively easy to sequence, assemble, and identify …
available genomic data. While it is now relatively easy to sequence, assemble, and identify …
Predicting anticancer peptides with Chou′ s pseudo amino acid composition and investigating their mutagenicity via Ames test
Z Hajisharifi, M Piryaiee, MM Beigi… - Journal of theoretical …, 2014 - Elsevier
Cancer is an important reason of death worldwide. Traditional cytotoxic therapies, such as
radiation and chemotherapy, are expensive and cause severe side effects. Currently, design …
radiation and chemotherapy, are expensive and cause severe side effects. Currently, design …
WebAUGUSTUS—a web service for training AUGUSTUS and predicting genes in eukaryotes
The prediction of protein coding genes is an important step in the annotation of newly
sequenced and assembled genomes. AUGUSTUS is one of the most accurate tools for …
sequenced and assembled genomes. AUGUSTUS is one of the most accurate tools for …