Getting the most from PSI-BLAST

¹Bioinformatics Unit, Dept Computer Science, University College London, Gower St, WC1E 6BT., London, UK. d.jones@cs.ucl.ac.uk

|March 15, 2002

Abstract:

Most biologists now conduct sequence searches as a matter of course. But how do we know that a relationship predicted by a homology search is a true, rather than false, hit with the same score? Many biologists design their own experiments with exquisite care yet still assume that results from programs with more than 20 adjustable parameters are 100% reliable. This article explains some of the key steps in getting the most from PSI-Blast, one of the most popular and powerful homology search programs currently available.

Related Concept Videos

Articles linked to this work by shared authors, journal, and citation graph.

Related Experiment Videos

Getting the most from PSI-BLAST

Related Concept Videos

EOAD-Signature Atrophy Predicts Dementia in Early-Onset MCI due to Alzheimer Disease: An MRI-Based Prognostic Biomarker.

Identification of vaccine candidates by immunization with a complex pool of recombinant VLPs.

Eligibility for Anti-Amyloid Therapies in Patients With Biomarker-Confirmed Atypical Alzheimer Disease Phenotypes.

Automated Detection of Motor Speech Disorders and Subtype Classification.

Relationships of CSF biomarkers to cortical atrophy in early-onset Alzheimer's disease.

Improving the clinical trial landscape for patients with atypical variants of Alzheimer's disease: a call to action.

A framework for understanding post-translational modifications of metabolic origin.

The diversity of terminal electron acceptors across eukaryotes.

Building CRISPR immunity: evolution and mechanisms of spacer acquisition.

Prion-like proteins as facilitators of molecular memory in plants.

Minimal-alphabet proteins by evolution, engineering, and design.

A phylogenomic analysis of ancient transition metal biochemistry.

A modular class-aware workflow for small RNA sequencing analysis using mouse sperm as a case study.

Updated guide to RNA quantification by RNA sequencing and reverse transcription-qPCR.

Squidly harnesses enzyme functional hierarchy and contrastive learning to efficiently predict catalytic residues from sequence.

A unified benchmark of supervised and retrieval-based methods for viral genomic sequence classification.

Enhanced recovery of terminal sequences of viral RNAs via fine-tuning of the high-throughput sequencing library preparation and evidence of a non-templated nucleotide addition at the 3' end of the minus strand in members of the genus Ilarvirus.

Tabula Sapiens 2.0: A comprehensive transcriptomic atlas of human cell types.

Related Experiment Videos

Getting the most from PSI-BLAST

Abstract:

Related Concept Videos

Related Articles