Kiran Mukhyala

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 24 citations into it
• Genetics — 13 citations into it
• Computational Biology & Bioinformatics — 8 citations into it

Whom Kiran Mukhyala trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yana Bromberg
2. Sean R. Eddy
3. Pauline Crystal Ng

Papers from Kiran Mukhyala's perspective

Ordered by how strongly the researchers Kiran Mukhyala trusts endorse each paper. Same corpus, a different order for every researcher.

1. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
2. Evaluation of structural and evolutionary contributions to deleterious mutation prediction.
3. SIFT: predicting amino acid changes that affect protein function
4. Predicting the functional impact of protein mutations: application to cancer genomics
5. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
6. COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
7. SNAP: predict effect of non-synonymous polymorphisms on function
8. SNAP predicts effect of mutations on protein function
9. The landscape of cancer genes and mutational processes in breast cancer (Nature)
10. Cancer-specific High-throughput Annotation of Somatic Mutations: computational prediction of driver missense mutations (Cancer Research)

Their papers

• Assessment of computational methods for predicting the effects of missense mutations in human cancers (2013) — 187 citations