Her references range from Brixton club kids to Francis Bacon.
Still, her career as an artist wasn’t a foregone conclusion. After leaving Heathfield School in Berkshire, she enrolled at Bristol University to study History of Art, but after realising she was “really bad at writing essays”, dropped out after less than a year. Eavesdropping on a stranger’s conversation in a café about the Charles Cecil atelier in Florence turned out to be “life-changing”.
And so she went to Sierra Leone for five months and came back to Suffolk just as lockdown was about to hit. “And I just kind of gave it up. I was like, ‘God, this is so tough, maybe I’ll do something else.’” It was a year before she started painting again “just for myself”, with social media ultimately leading her back to the art world. “Everyone was on Instagram and looking at work, and that’s when people were like, ‘I really like this,’ and I actually started selling stuff.
To say those galleries must be kicking themselves now is an understatement. Longe’s large pieces command six figures, and there’s an endless line of ardent collectors waiting to get their hands on her work. “I know, itquite cool,” she agrees somewhat sheepishly. “I’m still so shocked that anyone actually wants to buy anything.”
Australia Latest News, Australia Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Made In Chelsea’s Issy Francis-Baum Swears By This Overnight Face Tanning OilMade In Chelsea newcomer Issy Francis-Baum reveals her go-to fake tan for fake tan for face and it's an overnight oil. Read more on Grazia.
Read more »
CEO of Ground-Breaking DNA Sequencing Company Illumina Resigns Amid Pressure From Investor Carl IcahnNow-former CEO of Illumina Francis deSouza had been locked in a monthslong battle with activist investor Carl Icahn over its $7.1 billion acquisition of cancer test maker Grail.
Read more »
Christine McGuinness shows off daring underboob as she stuns in sunny snapsChristine McGuiness showed off her style and daringly flashed some underboob, as she shared sunny snaps to promote the latest clothing range from autism-friendly brand H-E-R
Read more »
‘It was the worst pain': Women still face agonising coil fittings despite pain relief guidanceMany GPs and sexual health clinics now offer a range of pain relief options making coil fittings more manageable, but the guidance has not filtered down across the board 🔎 Big Read by connie_dimsdale
Read more »
Mouthwatering microwave meals in minutes from Thai curry to creamy tomato soupTuck into delicious microwave meals like you've never tasted before with Justin Pattison's range of quick and easy recipes including fragrant curries and creamy soups
Read more »
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data - BMC BioinformaticsBackground Structural variations (SVs) refer to variations in an organism’s chromosome structure that exceed a length of 50 base pairs. They play a significant role in genetic diseases and evolutionary mechanisms. While long-read sequencing technology has led to the development of numerous SV caller methods, their performance results have been suboptimal. Researchers have observed that current SV callers often miss true SVs and generate many false SVs, especially in repetitive regions and areas with multi-allelic SVs. These errors are due to the messy alignments of long-read data, which are affected by their high error rate. Therefore, there is a need for a more accurate SV caller method. Result We propose a new method-SVcnn, a more accurate deep learning-based method for detecting SVs by using long-read sequencing data. We run SVcnn and other SV callers in three real datasets and find that SVcnn improves the F1-score by 2–8% compared with the second-best method when the read depth is greater than 5×. More importantly, SVcnn has better performance for detecting multi-allelic SVs. Conclusions SVcnn is an accurate deep learning-based method to detect SVs. The program is available at https://github.com/nwpuzhengyan/SVcnn .
Read more »