![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessPLMSearch: Protein language model powers accurate and fast sequence search for remote homology
Homologous protein search is one of the most commonly used methods for protein annotation and analysis. Compared to structure search, detecting distant evolutionary relationships from sequences alone remains c...
-
Article
Open AccessEffective binning of metagenomic contigs using contrastive multi-view representation learning
Contig binning plays a crucial role in metagenomic data analysis by grou** contigs from the same or closely related genomes. However, existing binning methods face challenges in practical applications due to...
-
Article
Open AccessMetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities
Binning aims to recover microbial genomes from metagenomic data. For complex metagenomic communities, the available binning methods are far from satisfactory, which usually do not fully use different types of ...
-
Article
Open AccessCritical Assessment of Metagenome Interpretation: the second round of challenges
Evaluating metagenomic software is key for optimizing metagenome interpretation and focus of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). The CAMI II challenge engaged the co...
-
Article
Open AccessThe CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function.