4 papers · ranked by Valyu relevance
Xuebin Feng, Emma R. Master
Sequence similarity networks (SSNs) are graphical representations of sequence relationship frequently used for exploring protein sequence space. Conventional SSN workflows typically use BLAST to calculate sequence similarities and rely on external visualization tools to generate the final networks. Consequently, raw…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Hayden Johnson, Boris A. Vinatzer, Reza Mazloom, Kassaye Belay + 2 more
Rapid and accurate microbial identification is critical for interpreting biological data in basic research and when making applied decisions on how to effectively treat patients and control human, animal, and plant diseases. Advancements in high-throughput sequencing have the potential to expedite fungal species…
Gonçalo Trindade, Giacomo Domenici, Miguel Pinto, Viviana Correia + 5 more
Immunosuppressive tumor microenvironments (TMEs) are common in breast cancer (BC), where tumor-promoting myeloid-driven inflammation contributes to immune dysfunction and poor immunotherapy response. Lectins expressed by tumor-associated macrophages (TAMs) act as glycan-sensing immunoregulatory receptors driving…