BOL

Some five points to keep in mind for bioinformatics software/tools

Structural variation caller tools using long reads

The bioinformatics landscape for RNA sequence analysis is vast, with tools catering to specific needs. Whether you’re studying coding RNAs, non-coding RNAs, or exploring RNA-protein interactions, the right tools can transform your data into...

github.com - RagTag is a collection of software tools for scaffolding and improving modern genome assemblies. Tasks include: Homology-based misassembly correction Homology-based assembly scaffolding and patching Scaffold merging

frodock.chaconlab.org - frodock: a user-friendly protein–protein docking server based on an improved version of FRODOCK that includes a complementary knowledge-based potential. The web interface provides a very effective tool to explore and select...

abi.inf.uni-tuebingen.de - Assigning subcellular localization to a protein is an important step towards elucidating its interaction partners, function, and potential role(s) in the cellular machinery. Computational tools offer an attractive complement to time-consuming and...

zhanglab.ccmb.med.umich.edu - STRUM is a method for predicting the fold stability change (ΔΔG) of protein molecules upon single-point nsSNP mutations. STRUM adopts a gradient boosting regression approch to train the Gibbs free-energy changes on a variety of features...

The study of Protein–Protein Interactions (PPIs) has a crucial role in biology, medicine and the pharmaceutical industry. PPIs can be investigated from two aspects: The interaction partners of a specific protein and the amino acid residues...

Integrated solutions CLCbio Genomics Workbench - de novo and reference assembly of Sanger, Roche FLX, Illumina, Helicos, and SOLiD data. Commercial next-gen-seq software that extends the CLCbio Main Workbench software. Includes SNP detection,...

drive5.com - USEARCH >Extreme high-throughput sequence analysis. Orders of magnitude faster than BLAST. MUSCLE >Multiple sequence alignment. Faster and more accurate than CLUSTALW.  UPARSE >OTU clustering for 16S and other marker genes....