Results 11 to 20 of about 29,786,749 (389)
Search and sequence analysis tools services from EMBL-EBI in 2022
The EMBL-EBI search and sequence analysis tools frameworks provide integrated access to EMBL-EBI’s data resources and core bioinformatics analytical tools.
F. Madeira+8 more
semanticscholar +1 more source
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis [PDF]
Genome sequence analysis has enabled significant advancements in medical and scientific areas such as personalized medicine, outbreak tracing, and the understanding of evolution.
Damla Senol Cali+15 more
semanticscholar +1 more source
Representation learning applications in biological sequence analysis
Remarkable advances in high-throughput sequencing have resulted in rapid data accumulation, and analyzing biological (DNA/RNA/protein) sequences to discover new insights in biology has become more critical and challenging.
Hitoshi Iuchi+8 more
semanticscholar +1 more source
Protein Sequence Analysis Using the MPI Bioinformatics Toolkit
The MPI Bioinformatics Toolkit (https://toolkit.tuebingen.mpg.de) provides interactive access to a wide range of the best‐performing bioinformatics tools and databases, including the state‐of‐the‐art protein sequence comparison methods HHblits and HHpred.
Felix Gabler+7 more
semanticscholar +1 more source
The EMBL-EBI search and sequence analysis tools APIs in 2019
The EMBL-EBI provides free access to popular bioinformatics sequence analysis applications as well as to a full-featured text search engine with powerful cross-referencing and data retrieval capabilities.
F. Madeira+10 more
semanticscholar +1 more source
The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024. [PDF]
The EMBL-EBI Job Dispatcher sequence analysis tools framework (https://www.ebi.ac.uk/jdispatcher) enables the scientific community to perform a diverse range of sequence analyses using popular bioinformatics applications.
Madeira F+7 more
europepmc +2 more sources
Sequence complexity for biological sequence analysis [PDF]
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instances of repeats do not need to match each other exactly. Both forward- and reverse-complementary repeats are allowed.
Lloyd Allison+3 more
openaire +3 more sources
Differential expression analysis for sequence count data [PDF]
*Motivation:* High-throughput nucleotide sequencing provides quantitative readouts in assays for RNA expression (RNA-Seq), protein-DNA binding (ChIP-Seq) or cell counting (barcode sequencing).
A Agresti+32 more
core +3 more sources
A comprehensive set of sequence analysis programs for the VAX
The University of Wisconsin Genetics Computer Group (UWGCG) has been organized to develop computational tools for the analysis and publication of biological sequence data.
J. Devereux, P. Haeberli, O. Smithies
semanticscholar +1 more source