A method for calculating probabilities of fitness consequences for point mutations across the human genome

January 18, 2015, 4:00 pm

≫ Next: Metabolism: First aid for flavin

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Metabolism: First aid for flavin

January 19, 2015, 4:00 pm

≫ Next: Distinguishing Proteins From Arbitrary Amino Acid Sequences

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Distinguishing Proteins From Arbitrary Amino Acid Sequences

January 21, 2015, 4:00 pm

≫ Next: Integrative analysis of differentially expressed microRNAs of pulmonary alveolar macrophages from piglets during H1N1 swine influenza A virus infection

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Integrative analysis of differentially expressed microRNAs of pulmonary alveolar macrophages from piglets during H1N1 swine influenza A virus infection

February 1, 2015, 4:00 pm

≫ Next: Improved data analysis for the MinION nanopore sequencer

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Improved data analysis for the MinION nanopore sequencer

February 15, 2015, 4:00 pm

≫ Next: Genetic variation and alternative splicing

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Genetic variation and alternative splicing

April 6, 2015, 5:00 pm

≫ Next: Deciphering the Venomic Transcriptome of Killer-Wasp Vespa velutina

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Deciphering the Venomic Transcriptome of Killer-Wasp Vespa velutina

April 22, 2015, 5:00 pm

≫ Next: Recursive splicing in long vertebrate genes

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Recursive splicing in long vertebrate genes

May 12, 2015, 5:00 pm

≫ Next: A novel DNA sequence motif in human and mouse genomes

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A novel DNA sequence motif in human and mouse genomes

May 19, 2015, 5:00 pm

≫ Next: In silico identification of AMPylating enzymes and study of their divergent evolution

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In silico identification of AMPylating enzymes and study of their divergent evolution

June 2, 2015, 5:00 pm

≫ Next: Transcriptome sequencing of three Pseudo-nitzschia species reveals comparable gene sets and the presence of Nitric Oxide Synthase genes in diatoms

≪ Previous: A novel DNA sequence motif in human and mouse genomes

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Transcriptome sequencing of three Pseudo-nitzschia species reveals comparable gene sets and the presence of Nitric Oxide Synthase genes in diatoms

July 19, 2015, 5:00 pm

≫ Next: Draft genome of the most devastating insect pest of coffee worldwide: the coffee berry borer, Hypothenemus hampei

≪ Previous: In silico identification of AMPylating enzymes and study of their divergent evolution

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Draft genome of the most devastating insect pest of coffee worldwide: the coffee berry borer, Hypothenemus hampei

July 30, 2015, 5:00 pm

≫ Next: Deep learning for regulatory genomics

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Deep learning for regulatory genomics

August 6, 2015, 5:00 pm

≫ Next: A chemocentric view of the natural product inventory

≪ Previous: Draft genome of the most devastating insect pest of coffee worldwide: the coffee berry borer, Hypothenemus hampei

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A chemocentric view of the natural product inventory

August 17, 2015, 5:00 pm

≫ Next: Minimum Information about a Biosynthetic Gene cluster

≪ Previous: Deep learning for regulatory genomics

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Minimum Information about a Biosynthetic Gene cluster

August 17, 2015, 5:00 pm

≫ Next: Genomics: Where the G-quadruplexes are

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Genomics: Where the G-quadruplexes are

August 27, 2015, 5:00 pm

≫ Next: Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR

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Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR

September 16, 2015, 5:00 pm

≫ Next: Genome wide discovery of long intergenic non-coding RNAs in Diamondback moth (Plutella xylostella) and their expression in insecticide resistant strains

≪ Previous: Genomics: Where the G-quadruplexes are

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Genome wide discovery of long intergenic non-coding RNAs in Diamondback moth (Plutella xylostella) and their expression in insecticide resistant strains

September 27, 2015, 5:00 pm

≫ Next: TransVar: a multilevel variant annotator for precision genomics

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TransVar: a multilevel variant annotator for precision genomics

October 28, 2015, 5:00 pm

≫ Next: SIFT missense predictions for genomes

≪ Previous: Genome wide discovery of long intergenic non-coding RNAs in Diamondback moth (Plutella xylostella) and their expression in insecticide resistant strains

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SIFT missense predictions for genomes

December 2, 2015, 4:00 pm

≫ Next: Detecting actively translated open reading frames in ribosome profiling data

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